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 <tr>
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  <td width=100%  id="p5" ><font face=Arial size=2><b><a
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  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID7 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
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  <td width=100%  id="p8" ><font face=Arial size=2><b><a
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  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID10 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p10" ><font face=Arial size=2><b><a
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  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID11 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
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  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID12 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
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<br>

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  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID13 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
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-parent.createCM();
-	if( !g_supportsPPTHTML ) return
-	if( IsWin("PPTSld") && slideId )
-		parent.base.SldUpdated(slideId)
-	self.focus(); 
-
-}
-var hasNarration = false;
-function _RSW()
-{
-	if( !g_supportsPPTHTML || IsNts() ||
-	  ( !g_scaleInFrame && (( window.name != "PPTSld" ) ) ) )
-		return
-
-	cltWidth=document.body.clientWidth
-	cltHeight=document.body.clientHeight
-	factor=(1.0*cltWidth)/g_origW
-	if( cltHeight < g_origH*factor )
-		factor=(1.0*cltHeight)/g_origH
-
-	newSize = g_origSz * factor
-	if( newSize < 1 ) newSize=1
-
-	s=SlideObj.style
-	s.fontSize=newSize+"px"
-	s.posWidth=g_origW*factor
-	s.posHeight=g_origH*factor
-	s.posLeft=(cltWidth-s.posWidth)/2
-	s.posTop=(cltHeight-s.posHeight)/2
-
-	if ( hasNarration ) {
-		obj = document.all.NSPlay.style;
-		mySld = document.all.SlideObj.style;
-		obj.position = 'absolute';
-		obj.posTop = mySld.posTop + mySld.posHeight - 20;
-		obj.posLeft = mySld.posLeft + mySld.posWidth - 20;
-	}
-	if( g_scaleHyperlinks )
-		ScaleHyperlinks( factor );	
-}
-function IsMac() {
-	return (window.navigator.platform.indexOf("Mac") >= 0 );
-}
-
-function HitOK( evt ) {
-	//Nav Only function
-	return (evt.which == 1 || (IsMac() && evt.which == 3) );
-}
-function _KPH(event)
-{ 
-
-  if ( parent.base.msie < 0 )  {
-    
-    	if ( ( (event.target.name && event.target.name == "hasMap" ) || (event.target.href && event.target.href != "") ) && parent.g_docTable[0].type != "jpeg" && HitOK( event )  ) {
-    		return; /* to make hyperlinks in fullscreen mode traversable */
-    	}
-	if( IsContextMenu() )
-		return parent.KPH(event);
-  	if ( parent.IsFullScrMode()  && event.which == 27 )
-  		parent.base.CloseFullScreen();
-  	else if ( parent.base.IsFullScrMode() && ( (!IsMac() && event.which == 3) || ( IsMac() && (event.modifiers & Event.CONTROL_MASK) && event.which == 1 ) ) )
-  		return parent.KPH(event);
-  	else if( (event.which == 32) ||  (event.which == 13) || HitOK( event )  ) {
-	    if( window.name == "PPTSld" )
-	      parent.PPTSld.DocumentOnClick();
-	    else
-	      parent.M_GoNextSld();
-      }	
-      else if ( parent.IsFullScrMode() && ((event.which == 78)  || (event.which == 110) || (event.which == 29) || (event.which == 31) || (event.which == 12)) )
-  		parent.M_GoNextSld();
-      else if ( parent.IsFullScrMode() && ( (event.which == 80)  || (event.which == 112) || (event.which == 30) || (event.which == 28) || (event.which == 11) || (event.which == 8)) )
-  		parent.M_GoPrevSld();
-
-      return;
-   }
-  	
-  if( IsNts() ) return;
-
-  if(parent.IsFullScrMode()  && event.keyCode == 27 && !parent.HideMenu() )
-    parent.base.CloseFullScreen();
-  else if( (event.keyCode == 32) || (event.keyCode == 13) )
-  {
-    if( window.name == "PPTSld" )
-      parent.PPTSld.DocumentOnClick();
-   else
-      parent.M_GoNextSld();
-  }
-  else if ( parent.IsFullScrMode() && ((event.keyCode == 78)  || (event.keyCode == 110)) )
-  	parent.M_GoNextSld();
-  else if ( parent.IsFullScrMode() && ((event.keyCode == 80)  || (event.keyCode == 112)) )
-  	parent.M_GoPrevSld();
-}
-
-function DocumentOnClick(event)
-{
-		if ( g_doAdvOnClick && !parent.IsFullScrMode() ) {
-			parent.base.TP_GoToNextSld();	
-			return;
-		}
-		
-	if ( parent.base.msie < 0 ) 
-	{
-		if( ( g_allowAdvOnClick  && parent.IsFullScrMode() ) || g_doAdvOnClick ||
-		    (event && ( (event.which == 32) || (event.which == 13) ) ) )
-			parent.M_GoNextSld();
-			return;
-	}		
-	if( IsNts() || (parent.IsFullScrMode() && parent.HideMenu() ) ) return;
-	if( ( g_allowAdvOnClick && parent.IsFullScrMode() ) || g_doAdvOnClick ||
-	    (event && ( (event.keyCode==32) || (event.keyCode == 13) ) ) )
-		parent.M_GoNextSld();
-}
-

-
-var g_supportsPPTHTML = SupportsPPTHTML(), g_scaleInFrame = true, gId="", g_bgSound="",
-    g_scaleHyperlinks = false, g_allowAdvOnClick = true, g_showInBrowser = false, g_doAdvOnClick = false;
-
- var g_showAnimation = 0;
-var g_hasTrans = false, g_autoTrans = false, g_transSecs = 0;
-var g_animManager = null;
-
-var ENDSHOW_MESG="End of slide show, click to exit.", SCREEN_MODE="Frames", gIsEndShow=0, NUM_VIS_SLDS=14, SCRIPT_HREF="script.js", FULLSCR_HREF="fullscreen.htm";
-var gCurSld = gPrevSld = 1, g_offset = 0, gNtsOpen = gHasNts = gOtlTxtExp = gNarrationPaused = false, gOtlOpen = true
-window.gPPTHTML=SupportsPPTHTML()
-var g_hideNav = 0;
-function UpdNtsPane(){ PPTNts.location.replace( MHTMLPrefix+GetHrefObj( gCurSld ).mNtsHref ) }
-function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() }
-function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() }
-function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() }
-function SetHasNts( fVal )
-{
-	if( gHasNts != fVal ) {
-		gHasNts=fVal
-		UpdNavPane()
-	}
-}
-
-function ToggleVNarration()
-{
-	if ( base.msie < 0 ) {
-		PPTSld.ToggleSound( false, PPTSld.document.NSPlay );
-		return;
-	}
-	
-	rObj=PPTSld.document.all("NSPlay")
-	if( rObj ) {
-		if( gNarrationPaused )
-			rObj.Play()
-		else
-			rObj.Pause()
-
-		gNarrationPaused=!gNarrationPaused
-	}
-}
-
-function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) }
-function HasPrevSld() { return ( gIsEndShow || ( g_currentSlide != 1 && GetHrefObj( g_currentSlide-1 ).mVis == 1 )||( GetCurrentSlideNum() > 1 ) ) }
-function HasNextSld() { return (GetCurrentSlideNum() != GetNumSlides()) }
-function StartEndShow()
-{
-//	g_hideNav = 1;
-//	PPTNav.location.reload();
-	if( PPTSld.event ) PPTSld.event.cancelBubble=true
-
-	doc=PPTSld.document
-	doc.open()
-	doc.writeln('<html><head><script > /*defer>*/ g_ctxmenu = 0; ' +
-	'if( parent.base.msie < 0 )  { document.captureEvents(Event.KEYPRESS); document.captureEvents(Event.MOUSEDOWN); document.onkeypress = _KPH; document.onmousedown = _KPH; } ' +
-	'function DocumentOnClick(event) { return _KPH(event); }  function IsContextMenu() { return (g_ctxmenu ==1); } ' +
-	'function _KPH(event)' +
-	'{  ' +
-	'if ( parent.base.msie < 0  && (parent.IsFullScrMode() ) && event ) { if ( (!parent.IsMac() && event.which == 3) || ( parent.IsMac() && (event.modifiers & Event.CONTROL_MASK) && event.which == 1 ) )  { return parent.KPH(event); } ' + 
-	' else if (event.which == 27 || event.which == 32 || event.which == 13 || parent.HitOK( event ) || (event.which == 78)  || (event.which == 110) || (event.which == 29) || (event.which == 31) || (event.which == 12) ) { if ( IsContextMenu() ) { return parent.KPH(event); }  parent.base.CloseFullScreen(); return; } ' +
-	' else if ( (event.which == 80)  || (event.which == 112) || (event.which == 30) || (event.which == 28) || (event.which == 11) || (event.which == 8) ) { parent.M_GoPrevSld(); } } ' +
-	'if( parent.HideMenu() ) return; if( (parent.IsFullScrMode() ) && event) { if ( (event.keyCode==27 || event.keyCode == 13 || event.keyCode==32 || event.type=="click" ) || (event.keyCode == 78)  || (event.keyCode == 110) ) { parent.base.CloseFullScreen(); }' +
-	' else if ( (event.keyCode == 80)  || (event.keyCode == 112) ) { parent.M_GoPrevSld(); } } } function Unload() { parent.gIsEndShow=0; } function SetupEndShow() {    if ( !parent.IsFullScrMode() ) { return; } else { parent.PPTNav.location.reload(); }  parent.gIsEndShow=1; if ( parent.g_docTable[0].type != "jpeg" ) { if ( parent.base.msie < 0 ) {parent.createCM(); } document.oncontextmenu=parent._CM; } }</script></head><body scroll=\"no\" onclick=\"DocumentOnClick(event)\" onkeypress=\"_KPH(event)\" bgcolor=\"black\" onload=\"SetupEndShow()\" onunload=\"Unload()\"><center><p><font face=Tahoma color=white size=2><br><b>' + ENDSHOW_MESG + '</b></font></p></center></body></html>')
-	doc.close()
-}
-function SetSldVisited(){ gDocTable[gCurSld-1].mVisited=true }
-function IsSldVisited(){ return gDocTable[gCurSld-1].mVisited }
-function hrefList( sldHref, visible, sldIdx )
-{
-	this.mSldHref= this.mNtsHref = sldHref
-	this.mSldIdx = sldIdx
-	this.mOrigVis= this.mVis = visible
-	this.mVisited= false
-}
-var gDocTable = new Array(

-   new hrefList("slide0001.htm", 1, 1),

-   new hrefList("slide0002.htm", 1, 2),

-   new hrefList("slide0003.htm", 1, 3),

-   new hrefList("slide0004.htm", 1, 4),

-   new hrefList("slide0005.htm", 1, 5),

-   new hrefList("slide0006.htm", 1, 6),

-   new hrefList("slide0007.htm", 1, 7),

-   new hrefList("slide0008.htm", 1, 8),

-   new hrefList("slide0009.htm", 1, 9),

-   new hrefList("slide0010.htm", 1, 10),

-   new hrefList("slide0011.htm", 1, 11),

-   new hrefList("slide0012.htm", 1, 12),

-   new hrefList("slide0013.htm", 1, 13),

-   new hrefList("slide0014.htm", 1, 14)

-);

-
-function ImgBtn( oId,bId,w,action )
-{
-	var t=this
-	t.Perform    = _IBP
-	t.SetActive  = _IBSetA
- t.SetInactive= _IBSetI
-	t.SetPressed = _IBSetP
-	t.SetDisabled= _IBSetD
-	t.Enabled    = _IBSetE
-	t.ChangeIcon = null
-	t.UserAction = action
-	t.ChgState   = _IBUI
-	t.mObjId   = oId
-	t.mBorderId= bId
-	t.mWidth   = w
-	t.mIsOn    = t.mCurState = 0
-}
-function _IBSetA()
-{
-	if( this.mIsOn ) {
-		obj=this.ChgState( gHiliteClr,gShadowClr,2 )
-		obj.style.posTop=0
-	}
-}
-function _IBSetI()
-{
-	if( this.mIsOn ) {
-		obj=this.ChgState( gFaceClr,gFaceClr,1 )
-		obj.style.posTop=0 
-	}
-}
-function _IBSetP()
-{
-	if( this.mIsOn ) {
-		obj=this.ChgState( gShadowClr,gHiliteClr,2 )
-		obj.style.posLeft+=1; obj.style.posTop+=1
-	}
-}
-function _IBSetD()
-{  
-	obj=this.ChgState( gFaceClr,gFaceClr,0 )
-	obj.style.posTop=0 
-}
-function _IBSetE( state )
-{
-	var t=this
-	GetObj( t.mBorderId ).style.visibility="visible"
-	if( state != t.mIsOn ) {
-		t.mIsOn=state
-		if( state )
-			t.SetInactive()
-		else
-			t.SetDisabled()
-	}
-}
-function _IBP()
-{
-	var t=this
-	if( t.mIsOn ) {
-		if( t.UserAction != null )
-			t.UserAction()
-		if( t.ChangeIcon ) {
-			obj=GetObj(t.mObjId)
-			if( t.ChangeIcon() )
-				obj.style.posLeft=obj.style.posLeft+(t.mCurState-4)*t.mWidth
-			else
-				obj.style.posLeft=obj.style.posLeft+(t.mCurState-0)*t.mWidth
-		}
-		t.SetActive()
-	}  
-}
-function _IBUI( clr1,clr2,nextState )
-{
-	var t=this
-	SetBorder( GetObj( t.mBorderId ),clr1,clr2 )
-	obj=GetObj( t.mObjId )
-	obj.style.posLeft=obj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj.style.posTop
-	t.mCurState=nextState
-	return obj
-}
-function TxtBtn( oId,oeId,action,chkState )
-{
-	var t=this
-	t.Perform    = _TBP
-	t.SetActive  = _TBSetA
-	t.SetInactive= _TBSetI
-	t.SetPressed = _TBSetP
-	t.SetDisabled= _TBSetD
-	t.SetEnabled = _TBSetE
-	t.GetState   = chkState
-	t.UserAction = action
-	t.ChgState   = _TBUI
-	t.mObjId      = oId
-	t.m_elementsId= oeId
-	t.mIsOn       = 1
-}
-function _TBSetA()
-{
-	var t=this
-	if( t.mIsOn && !t.GetState() )
-		t.ChgState( gHiliteClr,gShadowClr,0,0 )
-}
-function _TBSetI()
-{
-	var t=this
-	if( t.mIsOn && !t.GetState() )
-		t.ChgState( gFaceClr,gFaceClr,0,0 )
-}
-function _TBSetP()
-{
-	if( this.mIsOn )
-		this.ChgState( gShadowClr,gHiliteClr,1,1 )
-}
-function _TBSetD()
-{   
-	this.ChgState( gFaceClr,gFaceClr,0,0 )
-	this.mIsOn = 0
-}
-function _TBSetE()
-{
-	var t=this
-	if( !t.GetState() )
-		t.ChgState( gFaceClr,gFaceClr,0,0 )
-	else
-		t.ChgState( gShadowClr,gHiliteClr,1,1 )
-	t.mIsOn = 1
-}
-function _TBP()
-{
-	var t=this
-	if( t.mIsOn ) { 
-		if( t.UserAction != null )
-			t.UserAction()
-		if( t.GetState() )
-			t.SetPressed()
-		else
-			t.SetActive()
-	}  
-}
-function _TBUI( clr1,clr2,lOffset,tOffset )
-{
-	SetBorder( GetObj( this.mObjId ),clr1,clr2 )
-	Offset( GetObj( this.m_elementsId ),lOffset,tOffset )
-}
-function GetObj( objId ){ return document.all.item( objId ) }
-function Offset( obj, top, left ){ obj.style.top=top; obj.style.left=left }
-function SetBorder( obj, upperLeft, lowerRight )
-{
-	s=obj.style;
-	s.borderStyle      = "solid"
-	s.borderWidth      = 1 
-	s.borderLeftColor  = s.borderTopColor = upperLeft
-	s.borderBottomColor= s.borderRightColor = lowerRight
-}
-function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] }
-function BtnOnOver(){ b=GetBtnObj(); if( b != null ) b.SetActive() }
-function BtnOnDown(){ b=GetBtnObj(); if( b != null ) b.SetPressed() }
-function BtnOnOut(){ b=GetBtnObj(); if( b != null ) b.SetInactive() }
-function BtnOnUp()
-{
-	b=GetBtnObj()
-	if( b != null )
-		b.Perform()
-	else
-		Upd()
-}
-function GetNtsState(){ return parent.gNtsOpen }
-function GetOtlState(){ return parent.gOtlOpen }
-function GetOtlTxtState(){ return parent.gOtlTxtExp }
-function NtsBtnSetFlag( fVal )
-{
-	s=document.all.item( this.m_flagId ).style
-	s.display="none"
-	if( fVal )
-		s.display=""
-	else
-		s.display="none"
-}
-
-var gHiliteClr="THREEDHIGHLIGHT",gShadowClr="THREEDSHADOW",gFaceClr="THREEDFACE"
-var gBtnArr = new Array()
-gBtnArr["nb_otl"] = new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPane,GetOtlState )
-gBtnArr["nb_nts"] = new TxtBtn( "nb_nts","nb_ntsElem",parent.ToggleNtsPane,GetNtsState )
-gBtnArr["nb_prev"]= new ImgBtn( "nb_prev","nb_prevBorder",30,parent.GoToPrevSld )
-gBtnArr["nb_next"]= new ImgBtn( "nb_next","nb_nextBorder",30,parent.GoToNextSld )
-gBtnArr["nb_sldshw"]= new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent.FullScreen )
-gBtnArr["nb_voice"]  = new ImgBtn( "nb_voice","nb_voiceBorder",18,parent.ToggleVNarration )
-gBtnArr["nb_otlTxt"]= new ImgBtn( "nb_otlTxt","nb_otlTxtBorder",23,parent.ToggleOtlText )
-gBtnArr["nb_nts"].m_flagId= "notes_flag"
-gBtnArr["nb_nts"].SetFlag = NtsBtnSetFlag
-gBtnArr["nb_otlTxt"].ChangeIcon= GetOtlTxtState
-var sNext="Next",sPrev="Previous",sEnd="End Show",sFont="Arial", alwaysOn = false
-function ShowMenu()
-{
-	BuildMenu();
-	var doc=PPTSld.document.body,x=PPTSld.event.clientX+doc.scrollLeft,y=PPTSld.event.clientY+doc.scrollTop
-
-	m = PPTSld.document.all.item("ctxtmenu")
-	m.style.pixelLeft=x
-	if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) )
-		m.style.pixelLeft=x-m.scrollWidth
-
-	m.style.pixelTop=y
-	if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) )
-		m.style.pixelTop=y-m.scrollHeight
-
-	m.style.display=""
-}
-function _CM()
-{
-	if( !parent.IsFullScrMode() && !alwaysOn) return;
-	
-	if(!PPTSld.event.ctrlKey) {
-		ShowMenu()
-		return false
-	} else
-		HideMenu()
-}
-
-function processNavKPH(event) {
-   if ( PPTSld &&  (event.keyCode != 13 || !event.srcElement.href || event.srcElement.href == "" ) )
-	return PPTSld._KPH(event);
-}
-function processNavClick() {
-	HideMenu();
-	return true;
-}
-function BuildMenu()
-{
-	if( PPTSld.document.all.item("ctxtmenu") ) return
-
-	var mObj=CreateItem( PPTSld.document.body )
-mObj.id="ctxtmenu"
-	var s=mObj.style
-	s.position="absolute"
- s.cursor="default"
-	s.width="100px"
-	SetCMBorder(mObj,"menu","black")
-
-	var iObj=CreateItem( mObj )
-	SetCMBorder( iObj, "threedhighlight","threedshadow" )
-	iObj.style.padding=2
-	if ( self.IsFullScrMode() ) {
-		CreateMenuItem( iObj,sNext,M_GoNextSld,M_True )
-		CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld )
-	}
-	else {
-		CreateMenuItem( iObj,sNext, base.TP_GoToNextSld, base.HasNextSld )
-		CreateMenuItem( iObj,sPrev,base.GoToPrevSld, base.HasPrevSld )
-	}
-	var sObj=CreateItem( iObj )
-	SetCMBorder(sObj,"menu","menu")
-	var s=sObj.style
-	s.borderTopColor="threedshadow"
-	s.borderBottomColor="threedhighlight"
-	s.height=1
-	s.fontSize="0px"
-	if ( self.IsFullScrMode() ) 
-		CreateMenuItem( iObj,sEnd,M_End,M_True )
-	else
-		CreateMenuItem( iObj,sEnd,M_End,M_False )
-}
-function Highlight() { ChangeClr("activecaption","threedhighlight") }
-function Deselect() { ChangeClr("threedface","menutext") }
-function Perform()
-{
-	e=PPTSld.event.srcElement
-	if( e.type=="menuitem" && e.IsActive() )
-		e.Action()
-	else
-		PPTSld.event.cancelBubble=true
-}
-function ChangeClr( bg,clr )
-{
-	e=PPTSld.event.srcElement
-	if( e.type=="menuitem" && e.IsActive() ) {
-		e.style.backgroundColor=bg
-		e.style.color=clr
-	}
-}
-
-function M_HasPrevSld() { return( base.HasPrevSld() ) }
-function M_GoNextSld() { 
-	base.SetFSMode(1);
-	if( gIsEndShow )
-		 M_End();
-	else {
-		if ( base.HasNextSld() )
-		 base.GoToNextSld();
-		else if (  base.EndSlideShow ) {
-		 StartEndShow();
-		 gIsEndShow = 1;
-		 
-		 PPTNav.location.reload();
-		}
-		else
-			base.CloseFullScreen();
-	}
-}
-function M_GoPrevSld() {
-	base.SetFSMode(1);
-	g_hideNav = 0;
-	if( gIsEndShow ) { 
-		gIsEndShow = 0;
-		if ( base.msie > 0 && IsMac() ) 
-			ChangeFrame( SLIDE_FRAME, GetHrefObj( g_currentSlide ).m_slideHref );
-		else	
-		PPTSld.history.back();
-		
-		 PPTNav.location.reload();
-		if( PPTSld.event )
-			 PPTSld.event.cancelBubble=true;
-	}
-	else
-	 	base.GoToPrevSld();
-}
-function M_True() { return true }
-function M_False() { return false }
-
-function M_End() {
-	base.CloseFullScreen();
-	/*PPTSld.event.cancelBubble=true;
-	window.close( self )*/
-}
-
-function CreateMenuItem( node,text,action,eval )
-{
-	var e=CreateItem( node )
-	e.type="menuitem"
-	e.Action=action
-	e.IsActive=eval
-	e.innerHTML=text
-
-	if( !e.IsActive() )
-		e.style.color="threedshadow"
-	e.onclick=Perform
-	e.onmouseover=Highlight
-	e.onmouseout=Deselect
-	s=e.style;
-	s.fontFamily=sFont
-	s.fontSize="8pt"
-	s.paddingLeft=2
-}
-function CreateItem( node )
-{
-	var elem=PPTSld.document.createElement("DIV")
-	node.insertBefore( elem )
-	return elem
-}
-function SetCMBorder( o,ltClr,rbClr )
-{
-	var s=o.style
-	s.backgroundColor="menu"
-	s.borderStyle="solid"
-	s.borderWidth=1
-	s.borderColor=ltClr+" "+rbClr+" "+rbClr+" "+ltClr
-}
-
-/* netscape context menu */
-g_ctxmenu = 0;
-function setRect( obj, X, Y, W, H ) {
-	obj.top = Y;
-	obj.left = X;
-	obj.clip.top = 0;
-	obj.clip.left = 0;
-	obj.clip.bottom = H;
-	obj.clip.right = W;
-}	
-
-function KPH(event) {
-	if ( ! base.IsFullScrMode() && !alwaysOn )
-		return true;
-		
-	if ( (!IsMac() &&event.which == 3) || ( IsMac() && (event.modifiers & Event.CONTROL_MASK) && event.which == 1 )   ) {
-		PPTSld.g_ctxmenu = 1;
-		PPTSld.stripUobj.visibility = "show";
-		PPTSld.stripDobj.visibility = "show";
-		PPTSld.shadeUobj.visibility = "show";
-		PPTSld.shadeDobj.visibility = "show";
-		PPTSld.panelobj.visibility = "show";
-		PPTSld.Fobj.visibility = "show";
-		PPTSld.Bobj.visibility = "show";
-		PPTSld.Eobj.visibility = "show";
-
-		setRect(PPTSld.shadeUobj, event.pageX-2, event.pageY-2, 82, 67 );		
-		setRect(PPTSld.shadeDobj, event.pageX, event.pageY, 82, 67 );		
-		setRect(PPTSld.panelobj, event.pageX, event.pageY, 80, 65 );		
-		setRect(PPTSld.Fobj, event.pageX, event.pageY, 80, 20 );
-		setRect(PPTSld.Bobj, event.pageX, event.pageY+20, 80, 20 );
-		setRect(PPTSld.stripUobj, event.pageX, event.pageY+41, 80, 1 );		
-		setRect(PPTSld.stripDobj, event.pageX, event.pageY+43, 80, 1 );		
-		setRect(PPTSld.Eobj, event.pageX, event.pageY+45, 80, 20 );
-		return false;
-	}
-	if ( HitOK( event ) ) {
-	PPTSld.g_ctxmenu = 0;
-		PPTSld.stripUobj.visibility = "hide";
-		PPTSld.stripDobj.visibility = "hide";
-		PPTSld.shadeUobj.visibility = "hide";
-		PPTSld.shadeDobj.visibility = "hide";
-		PPTSld.panelobj.visibility = "hide";
-		PPTSld.Fobj.visibility = "hide";
-		PPTSld.Bobj.visibility = "hide";
-		PPTSld.Eobj.visibility = "hide";
-	}
-	return true;
-}
-
-function overMe() {
-	this.bgColor = "blue";
-}
-
-function outMe() {
-	this.bgColor = "#AAAAAA"; 
-}
-
-function makeElement( whichEl, whichContainer ) {
-	if ( arguments.length == 1 ) {
-		whichContainer = PPTSld;
-	}
-	tmp = new Layer(100,whichContainer);
-	eval( whichEl + " = tmp" );
-	return eval(whichEl);
-}
-
-function initMe( obj, clr, text ) {
-	obj.bgColor = clr;
-//	obj.document.write("<a href='javascript:return false'>" + text + "</a>");
-	obj.document.write( "<font size=2 face=Arial " );
-	if ( !M_HasPrevSld() && (obj == PPTSld.Bobj )  ) {
-		obj.document.write( " color='#808080' " );
-	}
-	else {
-		obj.onmouseover = overMe;
-		obj.onmouseout = outMe;
-	}	
-	obj.document.write( " > &nbsp " + text +"</font> <layer top=0 left=0 width=100 height=40 ></layer>");
-	obj.document.close();
-	obj.captureEvents(Event.CLICK);
-	obj.color = "black";		
-}
-
-function createCM() {
-  if ( base.IsFullScrMode() ) {
-  	var clr = "#AAAAAA";
-	PPTSld.shadeUobj = makeElement("SHADEU");
-	PPTSld.shadeDobj = makeElement("SHADED");
-	PPTSld.panelobj = makeElement("PANEL");
-	PPTSld.stripUobj = makeElement("STRIPU");
-	PPTSld.stripDobj = makeElement("STRIPD");
-	PPTSld.shadeUobj.bgColor = "#BBBBBB";
-	PPTSld.shadeDobj.bgColor = "#888888";
-	PPTSld.stripUobj.bgColor = "#777777";
-	PPTSld.stripDobj.bgColor = "#CCCCCC";
-	PPTSld.panelobj.bgColor = clr;
-	PPTSld.Fobj = makeElement("Next");
-	PPTSld.Bobj = makeElement("Previous");
-	PPTSld.Eobj = makeElement("EndShow");
-	initMe( PPTSld.Fobj, clr, "Next" );
-	PPTSld.Fobj.onclick = M_GoNextSld;
-
-	initMe( PPTSld.Bobj, clr, "Previous" );
-	PPTSld.Bobj.onclick = M_GoPrevSld;
-
-	initMe( PPTSld.Eobj, clr, "End Show");
-	PPTSld.Eobj.onclick = base.CloseFullScreen;
-  }
-}
-
-function IsContextMenu() {
-	return (g_ctxmenu == 1)
-}
-var g_notesTable = new Array()

-var g_hiddenSlide = new Array()

-makeSlide( 0,1,1);

-makeSlide( 1,1,1);

-makeSlide( 2,1,1);

-makeSlide( 3,1,1);

-makeSlide( 4,1,1);

-makeSlide( 5,1,1);

-makeSlide( 6,1,1);

-makeSlide( 7,1,1);

-makeSlide( 8,1,1);

-makeSlide( 9,1,1);

-makeSlide( 10,1,1);

-makeSlide( 11,0,1);

-makeSlide( 12,0,1);

-makeSlide( 13,1,1);

-
-var END_SHOW_HREF         = "endshow.htm",
-    OUTLINE_EXPAND_HREF   = "outline_expanded.htm",
-    OUTLINE_COLLAPSE_HREF = "outline_collapsed.htm",
-    OUTLINE_NAVBAR_HREF  = "outline_navigation_bar.htm",
-    NAVBAR_HREF           = "navigation_bar.htm",
-    BLANK_NOTES_HREF	  = "blank_notes.htm",
-    NUM_VISIBLE_SLIDES    = 14,
-    SIMPLE_FRAMESET       = 0,
-    SLIDE_FRAME	        = "PPTSld",
-    NOTES_FRAME           = "PPTNts",
-    OUTLINE_FRAME         = "PPTOtl",
-    OUTLINE_NAVBAR_FRAME  = "PPTOtlNav",
-    NAVBAR_FRAME          = "PPTNav",
-	MAIN_FRAME			  = "MainFrame",
-	FS_NAVBAR_HREF		  = "fs_navigation_bar.htm",
-	isIEFiles 			= 2,
-	isNAVFiles 			= 8,
-	isFLATFiles 			= 16,
-	includeNotes			= 1,
-	PPTPRESENTATION     = 1;
-var  INITSLIDENUM   = 1;
-
-var EndSlideShow = 0;
-var g_outline_href = OUTLINE_COLLAPSE_HREF;	
-var g_fullscrMode = 0;	
-var FSWin = null;
-var gtmpstr = document.location.href;
-var g_baseURL = gtmpstr.substr(0, gtmpstr.lastIndexOf("/") ) + "/" + "webqtl_demo2.ppt_files";
-var g_showoutline = 1;
-var g_shownotes = includeNotes;
-var g_currentSlide = INITSLIDENUM, g_prevSlide = INITSLIDENUM;
-var saveFSSlideNum = saveTPSlideNum = g_currentSlide;
-var saveFSprevSlide = saveTPprevSlide = g_prevSlide;
-var g_slideType="ie";
-var appVer = navigator.appVersion;
-var msie = appVer.indexOf( "MSIE " ) + appVer.indexOf( "Internet Explorer " );
-var isnav = ( navigator.appName.indexOf( "Netscape" ) >= 0 );
-var msieWin31 = (appVer.indexOf( "Windows 3.1" ) > 0);
-var ver = 0;
-var g_done = 0;
-var g_prevotlobjidx = 0;
-var g_ShowFSDefault = 0;
-var g_lastVisibleSld = 1;
-var g_allHidden = false;
-function IsIE() {
-	return (msie >= 0 );
-}
-
-function IsNav() {
-	return (isnav);
-}
-var msiePos = appVer.indexOf( "MSIE " );
-var inexPos = appVer.indexOf( "Internet Explorer " );
-if ( msiePos >= 0 )
-  ver = parseFloat( appVer.substring( msiePos+5, appVer.indexOf ( ";", msiePos ) ) );
-else if( inexPos >= 0 )
-  ver=parseFloat( appVer.substring( inexPos+18, appVer.indexOf(";",inexPos) ) )
-else
-  ver = parseInt( appVer );
-
-//var g_supportsPPTHTML = 0; //!msieWin31 && ( ( msie >= 0 && ver >= 3.02 ) || ( msie < 0 && ver >= 3 ) );
-
-function GetCurrentSlideNum()
-{   
-  obj = GetHrefObj( g_currentSlide );
-  if ( GetHrefObj( g_currentSlide ).m_origVisibility == 1 )
-    return obj.m_slideIdx;
-  else   
-    return g_currentSlide;
-}
-
-function GetNumSlides()
-{
-  if ( GetHrefObj( g_currentSlide ).m_origVisibility == 1 )
-    return NUM_VISIBLE_SLIDES;
-  else
-    return g_docTable.length;
-}
-
-function GetHrefObj( slideIdx )
-{ return g_docTable[slideIdx - 1];
-}
-
-function GetSlideNum( slideHref )
-{
-  for (ii=0; ii<g_docTable.length; ii++) {
-    if ( g_docTable[ii].m_slideHref == slideHref )
-      return ii+1;
-  }
-  return 1;
-}
-
-function GoToNextSld()
-{   
-  targetIdx = g_currentSlide + 1;
-  if ( GetHrefObj( targetIdx-1 ).m_origVisibility == 0 ) {
-    if ( targetIdx<=g_docTable.length ) {
-      obj = GetHrefObj( targetIdx );
-      obj.m_visibility = 1;
-      GoToSld( obj.m_slideHref );
-    }
-  }
-  else {
-    obj = GetHrefObj( targetIdx );
-    while ( obj && ( obj.m_origVisibility == 0 ) && ( targetIdx<=g_docTable.length ) )
-      obj = GetHrefObj( targetIdx++ );
-    if( obj && obj.m_origVisibility )
-      GoToSld( obj.m_slideHref );
-  }
-}
-
-function GoToPrevSld()
-{
-  targetIdx = g_currentSlide - 1;
-  if ( targetIdx > 0 ) {
-    obj = GetHrefObj( targetIdx );
-    while ( ( obj.m_visibility == 0 ) && ( targetIdx>0 ) )
-      obj = GetHrefObj( targetIdx-- );
-    GoToSld( obj.m_slideHref );
-  }
-}
-
-function GoToLast()
-{
-  targetIdx = g_docTable.length;
-  if ( targetIdx != g_currentSlide )
-    GoToSld( GetHrefObj( targetIdx ).m_slideHref );
-}
-
-function GoToFirst()
-{ GoToSld( GetHrefObj(1).m_slideHref );
-}
-
-function highlite() {
-	if ( IsFullScrMode() )
-		return;
-	index = GetCurrentSlideNum();
-	if ( !frames[MAIN_FRAME].frames[OUTLINE_FRAME] )
-		return;
-	if ( msie < 0 ) {
-		if ( g_prevotlobjidx != 0 ) {
-			eval( "otlobj = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.LAYERID" + g_prevotlobjidx );
-			otlobj.hidden = true;
-		}
-		else
-			index = GetCurrentSlideNum();
-		eval( "otlobj = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.LAYERID" + index );
-		otlobj.hidden = false;
-	
-		g_prevotlobjidx = index;
-		
-		return;
-	}
-	if ( !g_showoutline )
-		return;
-		
-		backclr = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.body.bgColor;
-		textclr = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.body.text;
-	if ( g_prevotlobjidx != 0 ) {
-		eval( "otlobj = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.all.p" + g_prevotlobjidx );
-		otlobj.style.backgroundColor = backclr;
-		otlobj.style.color = textclr;
-		otlobj.all.AREF.style.color = textclr;
-	}
-	else
-		index = GetCurrentSlideNum();
-	eval( "otlobj = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.all.p" + index );
-	otlobj.style.backgroundColor = textclr;
-	otlobj.style.color = backclr;
-	otlobj.all.AREF.style.color = backclr;
-	g_prevotlobjidx = index;
-}
-
-function ChangeFrame( frame, href )
-{
-if ( IsFramesMode() ) {
-  if ( NAVBAR_FRAME == frame || OUTLINE_NAVBAR_FRAME ==  frame ) {
-	    frames[frame].location.replace(href);
-  }
-  else if( ! ( ( OUTLINE_FRAME == frame && !g_showoutline)  || (NOTES_FRAME == frame && !g_shownotes ) ) ){
-	    frames[MAIN_FRAME].frames[frame].location.href = href;
-  }
- }
- else {
- 	if ( frame == NAVBAR_FRAME || frame == SLIDE_FRAME ) {
- 	  if( frame == NAVBAR_FRAME ) {
- 	  	 href = FS_NAVBAR_HREF;
- 	  	
- 	  }	    
- 	  if( frame == NAVBAR_FRAME ) 
-	      window.frames[frame].location.replace(href);
-	 else
-	      window.frames[frame].location.href = href;
- 	}
- }
-  
-}
-
-function shutEventPropagation() {
-	if ( IsNav() )
-		return;
-		
-	var slideFrame;
-	if ( IsFramesMode() )
-		slideFrame = frames[MAIN_FRAME].frames[SLIDE_FRAME];
-	else
-		slideFrame = window.frames[SLIDE_FRAME];
-	if ( slideFrame.event ) 
-		slideFrame.event.cancelBubble=true;
-}
-				
-function GoToSld( slideHref )
-{
-  shutEventPropagation();
-  if ( slideHref != GetHrefObj( g_currentSlide ).m_slideHref || g_slideType != GetHrefObj( g_currentSlide ).type) {
-    g_prevSlide = g_currentSlide;
-    g_currentSlide = GetSlideNum( slideHref );
-	g_slideType = GetHrefObj( g_currentSlide ).type;
-    obj = GetHrefObj( g_currentSlide );
-    obj.m_visibility = 1;
-    ChangeFrame( SLIDE_FRAME, slideHref );
-    if( !SIMPLE_FRAMESET )
-      ChangeFrame( NOTES_FRAME, obj.m_notesHref );
-    ChangeFrame( NAVBAR_FRAME, NAVBAR_HREF );
-	    
-  }
-}
-
-function PrevSldViewed()
-{ GoToSld( GetHrefObj( g_prevSlide ).m_slideHref );
-}
-
-function NoHref() {}
-
-function ExpandOutline( )
-{ 
- g_outline_href = OUTLINE_EXPAND_HREF;
- ChangeFrame( OUTLINE_FRAME, OUTLINE_EXPAND_HREF );
- frames[OUTLINE_NAVBAR_FRAME].location.replace( OUTLINE_NAVBAR_HREF);
-}
-
-function CollapseOutline()
-{ 
- g_outline_href = OUTLINE_COLLAPSE_HREF;
- ChangeFrame( OUTLINE_FRAME, OUTLINE_COLLAPSE_HREF );
- frames[OUTLINE_NAVBAR_FRAME].location.replace( OUTLINE_NAVBAR_HREF);
- }
-
-function SlideUpdated( id )
-{
-  if ( id != GetHrefObj( g_currentSlide ).m_slideHref )  {
-    g_prevSlide = g_currentSlide;
-    g_currentSlide = GetSlideNum( id );
-    obj = GetHrefObj( g_currentSlide );
-    if( !SIMPLE_FRAMESET )
-      ChangeFrame( NOTES_FRAME, obj.m_notesHref );
-    ChangeFrame( NAVBAR_FRAME, NAVBAR_HREF );
-  }
-}
-
-function hrefList( slideHref, notesHref, visible, slideIdx, type )
-{
-  this.m_slideHref  = slideHref;
-  this.m_notesHref  = notesHref;
-  this.m_navbarHref = NAVBAR_HREF;
-  this.m_origVisibility = visible;
-  this.m_visibility = visible;
-  this.m_slideIdx = slideIdx;
-  this.type = type;
-}
-
-function IsFullScrMode() {
-	return g_fullscrMode;
-}
-
-
-function IsFramesMode() {
-	return (1 - g_fullscrMode);
-}
-
-function SldUpdated( id )
-{
-  if ( ( id != GetHrefObj( g_currentSlide ).m_slideHref )  || ( g_currentSlide == g_lastVisibleSld ) ){
-    g_prevSlide = g_currentSlide;
-    g_currentSlide = GetSlideNum( id );
-    obj = GetHrefObj( g_currentSlide );
-    if( !SIMPLE_FRAMESET )
-      ChangeFrame( NOTES_FRAME, obj.m_notesHref );
-    ChangeFrame( NAVBAR_FRAME, NAVBAR_HREF );
-  }
-}
-
-function ToggleOutline() {
-	g_showoutline = 1 - g_showoutline;
-	writeMyFrame();
-}
-
-function ShowHideNotes() {
-	g_shownotes = 1 - g_shownotes;
-	writeMyFrame();
-}
-
-function writeMyFrame() {
-		SetFSMode(0);
-		obj = frames[MAIN_FRAME];
-		
-		var curslide = g_baseURL + "/" +  GetHrefObj( g_currentSlide ).m_slideHref;
-		var curnotes = g_baseURL + "/" +  GetHrefObj( g_currentSlide ).m_notesHref;
-		var otlhref = g_baseURL + "/" +  g_outline_href;
-		if ( msie < 0 ) {			
-		if ( ! g_showoutline && g_shownotes ) {
-			obj.document.write( '<HTML><HEAD><SCRIPT language=JavaScript src=' + g_baseURL + '/script.js></SCRIPT><SCRIPT> base = parent; <\/SCRIPT><\/HEAD> \
-				<frameset rows=\"*,20%\" id=\"frameset2\" > \
-				<frame src=\"' + curslide + '\" name=PPTSld marginheight=0 marginwidth=0> \
-				<frame src=\"' + curnotes + '\" name=PPTNts marginheight=0 marginwidth=0> \
-				</frameset> </html>' );
-		}
-		else if( g_showoutline && g_shownotes  ){
-			obj.document.write( '<HTML><HEAD><SCRIPT language=JavaScript src=' + g_baseURL + '/script.js></SCRIPT><SCRIPT> base = parent; <\/SCRIPT><\/HEAD> \
-				<frameset cols=\"20%,*\" id=\"frameset1\"> \
-				<frame src=\"' + otlhref + '\" name=PPTOtl> \
-				<frameset rows=\"*,20%\" id=\"frameset2\" > \
-				<frame src=\"' + curslide + '\" name=PPTSld marginheight=0 marginwidth=0> \
-				<frame src=\"' + curnotes + '\" name=PPTNts marginheight=0 marginwidth=0> \
-				</frameset> </frameset></html>' );
-		}		
-		else if ( !g_shownotes && !g_showoutline ) {
-			obj.document.write( '<HTML><HEAD><SCRIPT language=JavaScript src=' + g_baseURL + '/script.js></SCRIPT><SCRIPT> base = parent; <\/SCRIPT><\/HEAD> \
-				<frameset rows="*,0" frameborder=0 > \
-				<frame src=\"' + curslide + '\" name=PPTSld marginheight=0 marginwidth=0> \
-				</frameset> </html>' );
-		}
-		else if( !g_shownotes  && g_showoutline ) {
-			obj.document.write( '<HTML><HEAD><SCRIPT language=JavaScript src=' + g_baseURL + '/script.js></SCRIPT><SCRIPT> base = parent; <\/SCRIPT><\/HEAD> \
-				<frameset cols=\"20%,*\" id=\"frameset1\"> \
-				<frame src=\"' + otlhref + '\" name=PPTOtl> \
-				<frame src=\"' + curslide + '\" name=PPTSld marginheight=0 marginwidth=0> \
-				</frameset></html>' );
-		}
-		obj.document.close();
-		}
-		else {
-			if ( g_showoutline ) {
-				obj.PPTHorizAdjust.cols = "20%,*";
-				obj.PPTOtl.location.reload();
-			}
-			else {
-				obj.PPTHorizAdjust.cols = "0,*";
-			}
-			if ( g_shownotes ) {
-				obj.PPTVertAdjust.rows = "*,20%";
-				obj.PPTNts.location.href = curnotes;
-			}
-			else {
-				obj.PPTVertAdjust.rows = "*,0";
-			}
-		}
-		ChangeFrame( OUTLINE_NAVBAR_FRAME, OUTLINE_NAVBAR_HREF );
-}
-
-function FullScreen() {
-	g_done = 0;
-
-	
-	SetFSMode(1);
-	if ( msie >= 0 )
-		FSWin = window.open( g_baseURL + "/" + "fullscreen.htm", null, "fullscreen=yes");
-	else {
-		var height = screen.availHeight;
-		if ( window.navigator.platform.indexOf( "Mac" ) >= 0 ) {
-			height -= 30;
-		}
-		FSWin = window.open( g_baseURL + "/" + "fullscreen.htm", "null", "height="+ height + ",width=" + screen.availWidth + ",screenX=0,screenY=0");
-	}
-}
-
-function SetFSMode( i ) {
-
-}
-
-function Slide( i ) {
-	SetFSMode(0);
-	GoToSld(GetHrefObj(i).m_slideHref);
-}
-
-function TP_GoToNextSld() {
-	SetFSMode(0);
-	GoToNextSld();
-}
-
-function TP_GoToPrevSld() {
-	SetFSMode(0);
-	GoToPrevSld();
-}
-
-function CloseFullScreen() {
-	g_done = 0;	
-	
-	if ( IsNav() ){
-		if ( self.opener )
-			opener.FSWin = null;
-	}
-	window.close();
-}
-
-function slidenum(i) {
-	var slidename = "slide";
-	if ( i < 10 )
-		return ( slidename + "000" + i);
-	else if ( i < 100 )
-		return ( slidename + "00" + i );
-	else if ( i < 1000 ) 
-		return (slidename + "0" + i );
-	else
-		return (slidename + i );
-}
-function UpdateLastVisibleSlide( index ) {
-	if ( g_lastVisibleSld < index ) 
-		g_lastVisibleSld = index;
-}
-
-function jpegArray( numSlides ) {
-count_hidden = 0;
-	g_docTable = new Array();
-  for( i=0; i<numSlides; i++ ) {
-    j = 2 * numSlides + i + 1;
-    var str = slidenum( j ) +".htm";
-	if( g_notesTable[i] == 1 )
-		g_docTable[i] = new hrefList( str, slidenum(i+1 ) + "_notes_pane.htm", g_hiddenSlide[i], i+1-count_hidden, "jpeg" );
-	else
-		g_docTable[i] = new hrefList( str, BLANK_NOTES_HREF, g_hiddenSlide[i], i+1-count_hidden, "jpeg" );
-    if ( !g_hiddenSlide[i] ) count_hidden++;
-    else UpdateLastVisibleSlide( i+1 );
-  }
-}
-
-function ieArray( numSlides ) {
-count_hidden = 0;
-	g_docTable = new Array();
-  for( i=0; i<numSlides; i++ ) {
-    var str = slidenum(i+1) +".htm";
-	if( g_notesTable[i] == 1 )
-		g_docTable[i] = new hrefList( str, slidenum( i+1 ) + "_notes_pane.htm", g_hiddenSlide[i], i+1-count_hidden, "ie" );
-	else
-		g_docTable[i] = new hrefList( str, BLANK_NOTES_HREF, g_hiddenSlide[i], i+1-count_hidden, "ie" );
-    if ( !g_hiddenSlide[i] ) count_hidden++;
-    else UpdateLastVisibleSlide( i+1 );
-  }
-}
-
-function navArray( numSlides ) {
-count_hidden = 0;
-	g_docTable = new Array();
-  for( i=0; i<numSlides; i++ ) {
-    j = numSlides + i + 1;
-    var str = slidenum( j ) +".htm";
-	if( g_notesTable[i] == 1 )
-		g_docTable[i] = new hrefList( str, slidenum(i+1 ) + "_notes_pane.htm", g_hiddenSlide[i], i+1-count_hidden, "nav" );
-	else
-		g_docTable[i] = new hrefList( str, BLANK_NOTES_HREF, g_hiddenSlide[i], i+1-count_hidden, "nav" );
-    if ( !g_hiddenSlide[i] ) count_hidden++;
-    else UpdateLastVisibleSlide( i+1 );
-  }
-}
-
-function LoadHTMLVersion() {
-  var os = window.navigator.platform.indexOf("Mac");
-  if ( (msie || isnav ) && ( (os < 0 && ver >= 4 ) || ( os >= 0 && ver >= 5 ) || (os >=0 && msie < 0 && ver >= 4 ) )  ){
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<div style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;mso-text-indent-alt:
56;position:absolute;top:0%;left:0%;width:100.0%;height:51.68%'><span
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99%'>l</span><span style='font-size:94%;color:#E9EB5D;mso-color-index:3'>Part
1. How to study </span></span><span style='position:absolute;top:23.57%;
left:9.66%;width:79.13%'><span style='font-size:94%;color:#E9EB5D;mso-color-index:
3'>expression variation </span></span><span style='position:absolute;
top:47.15%;left:9.66%;width:90.33%'><span style='font-size:94%;color:#E9EB5D;
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style='position:absolute;top:0%;left:0%;width:95.1%'><span style='mso-special-format:
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2. Discovering </span></span><span style='position:absolute;top:30.52%;
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left:10.32%;width:84.51%'><span style='font-size:94%;color:#E9EB5D;mso-color-index:
3'>(slides 18&#8211;29)</span></span></div>

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<div style='mso-line-spacing:"-346 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:42.68%'><span
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display:none'><br>
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</span></div>

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  <td align=left colspan=1><font face=Helvetica size=3>Part 2: Discovering
  upstream modulators and quantitative trait loci (QTLs). A quantitative trait
  locus is a chromosomal region that harbors one or a few polymorphic gene loci
  that influence a trait. We are going to be looking for QTLs that modulate the
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  <td align=left colspan=1><font face=Helvetica size=2>Part 2: Discovering
  upstream modulators and quantitative trait loci (QTLs). A quantitative trait
  locus is a chromosomal region that harbors one or a few polymorphic gene loci
  that influence a trait. We are going to be looking for QTLs that modulate the
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<head>
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style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

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<div style='mso-line-spacing:"-134 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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</span></div>

</div>

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height:5.83%'>

<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:0%;width:100.0%;
height:48.48%'><span style='font-family:Times;font-size:117%;color:white;
display:none'><br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:51.51%;left:0%;width:100.0%;
height:48.48%'><span style='font-family:Times;font-size:117%;color:white;
mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

<div style='position:absolute;top:2.12%;left:-5.43%;width:105.96%;height:11.13%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:0%;left:0%;width:100.0%;height:92.06%'>

<div style='text-align:center;mso-line-spacing:"-240 0 0";mso-margin-left-alt:
16;mso-text-indent-alt:16;position:absolute;top:0%;left:0%;width:100.0%;
height:65.51%'><span style='font-family:Arial;font-size:267%;color:#E9EB5D'>How
to make recombinant inbred strains (RI)</span><span style='font-family:Arial;
font-size:150%;color:aqua;display:none'><br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-160 0 0";mso-margin-left-alt:
16;mso-text-indent-alt:16;position:absolute;top:62.06%;left:6.37%;width:87.37%;
height:37.93%'><span style='font-family:Arial;font-size:150%;color:aqua;
mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<img border=0 src="slide0002_image003.png" style='position:absolute;top:28.79%;
left:45.43%;width:18.14%;height:1.06%'><img border=0
src="slide0002_image004.png" style='position:absolute;top:20.31%;left:28.21%;
width:1.98%;height:11.83%'>

<div style='position:absolute;top:15.01%;left:25.03%;width:19.47%;height:9.71%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:9.09%;left:6.8%;width:93.19%;
height:81.81%'>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>C57BL/6J (B)<br>
</span></div>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:51.11%;left:0%;width:83.21%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

</div>

<img border=0 src="slide0002_image005.png" style='position:absolute;top:20.31%;
left:30.46%;width:1.98%;height:11.83%'>

<div style='position:absolute;top:15.01%;left:62.25%;width:16.55%;height:9.71%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:9.09%;left:8.0%;width:92.8%;
height:81.81%'>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>DBA/2J (D)<br>
</span></div>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

</div>

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left:66.62%;width:4.23%;height:11.83%'><img border=0
src="slide0002_image007.png" style='position:absolute;top:35.51%;left:23.97%;
width:50.86%;height:1.23%'><img border=0 src="slide0002_image008.png"
style='position:absolute;top:35.68%;left:24.1%;width:.66%;height:4.06%'><img
border=0 src="slide0002_image009.png" style='position:absolute;top:35.68%;
left:40.92%;width:.52%;height:4.06%'><img border=0 src="slide0002_image010.png"
style='position:absolute;top:35.68%;left:57.61%;width:.52%;height:4.06%'><img
border=0 src="slide0002_image011.png" style='position:absolute;top:35.68%;
left:74.3%;width:.52%;height:3.88%'>

<div style='position:absolute;top:42.75%;left:5.69%;width:6.49%;height:12.36%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:8.57%;left:20.4%;width:73.46%;
height:84.28%'>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:49.15%'><span
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</b></span></div>

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left:22.25%;width:4.23%;height:11.83%'><img border=0
src="slide0002_image013.png" style='position:absolute;top:39.92%;left:38.94%;
width:4.23%;height:11.83%'><img border=0 src="slide0002_image014.png"
style='position:absolute;top:39.92%;left:55.62%;width:4.23%;height:11.83%'><img
border=0 src="slide0002_image015.png" style='position:absolute;top:39.39%;
left:72.84%;width:4.23%;height:11.83%'><img border=0
src="slide0002_image016.png" style='position:absolute;top:43.46%;left:43.97%;
width:11.12%;height:3.53%'><img border=0 src="slide0002_image017.png"
style='position:absolute;top:60.95%;left:20.66%;width:9.8%;height:3.53%'>

<div style='position:absolute;top:71.73%;left:58.41%;width:20.26%;height:26.67%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:12.58%;left:6.53%;width:88.23%;
height:83.44%'>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:0%;width:100.0%;
height:69.84%'><span style='position:absolute;top:0%;left:0%;width:99.25%'><span
style='font-family:Arial;font-size:117%;color:#FFFF99'><b>20 generations </b></span></span><span
style='position:absolute;top:39.77%;left:0%;width:100.0%'><span
style='font-family:Arial;font-size:117%;color:#FFFF99'><b>brother-sister </b></span></span><span
style='position:absolute;top:80.68%;left:0%;width:99.25%'><span
style='font-family:Arial;font-size:117%;color:#FFFF99'><b>matings</b></span><span
style='font-family:Arial;font-size:233%;color:#FFFF99;display:none'><b><br>
</b></span></span></div>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:73.8%;left:0%;width:99.25%;
height:26.98%'><span style='font-family:Arial;font-size:233%;color:#FFFF99;
mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</div>

</div>

<img border=0 src="slide0002_image018.png" style='position:absolute;top:60.95%;
left:50.72%;width:9.93%;height:3.53%'><img border=0 src="slide0002_image019.png"
style='position:absolute;top:62.72%;left:54.03%;width:4.37%;height:28.97%'><img
border=0 src="slide0002_image020.png" style='position:absolute;top:61.13%;
left:79.86%;width:10.86%;height:3.53%'><img border=0
src="slide0002_image021.png" style='position:absolute;top:62.36%;left:83.97%;
width:4.1%;height:28.79%'>

<div style='position:absolute;top:92.93%;left:21.72%;width:9.27%;height:9.71%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:9.09%;left:12.85%;width:85.71%;
height:81.81%'>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>BXD1</span><span
style='font-family:Arial;font-size:150%;color:#484848;display:none'><br>
</span></div>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:51.11%;left:0%;width:83.33%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#484848;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:92.75%;left:51.78%;width:9.27%;height:9.71%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:9.09%;left:12.85%;width:85.71%;
height:81.81%'>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>BXD2<br>
</span></div>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:51.11%;left:0%;width:83.33%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:92.93%;left:80.79%;width:10.99%;height:5.65%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;position:absolute;top:15.62%;left:12.04%;width:87.95%;
height:68.75%'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>BXD80</span></div>

</div>

<div style='position:absolute;top:90.45%;left:64.1%;width:17.74%;height:17.49%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:6.06%;left:7.46%;width:92.53%;
height:88.88%'>

<div style='mso-line-spacing:"-341 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:48.86%'><span
style='font-family:Arial;font-size:300%;color:#FFFF99'>+ É +<br>
</span></div>

<div style='mso-line-spacing:"-341 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:50.0%;left:0%;width:83.87%;height:48.86%'><span
style='font-family:Arial;font-size:300%;color:#FFFF99;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:62.89%;left:4.9%;width:6.49%;height:12.36%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:7.14%;left:20.4%;width:73.46%;
height:84.28%'>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:49.15%'><span
style='font-family:Arial;font-size:200%;color:#FFFF99'><b>F2<br>
</b></span></div>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:50.84%;left:0%;width:83.33%;height:49.15%'><span
style='font-family:Arial;font-size:200%;color:#FFFF99;mso-special-format:lastCR;
display:none'><b><br>
</b></span></div>

</div>

</div>

<img border=0 src="slide0002_image022.png" style='position:absolute;top:54.24%;
left:18.01%;width:75.62%;height:1.06%'><img border=0
src="slide0002_image023.png" style='position:absolute;top:54.06%;left:17.88%;
width:.66%;height:3.88%'><img border=0 src="slide0002_image024.png"
style='position:absolute;top:54.24%;left:32.45%;width:.52%;height:3.88%'><img
border=0 src="slide0002_image025.png" style='position:absolute;top:54.24%;
left:48.07%;width:.52%;height:4.06%'><img border=0 src="slide0002_image026.png"
style='position:absolute;top:54.24%;left:62.78%;width:.52%;height:4.06%'><img
border=0 src="slide0002_image027.png" style='position:absolute;top:54.24%;
left:77.74%;width:.52%;height:4.06%'><img border=0 src="slide0002_image028.png"
style='position:absolute;top:54.59%;left:92.71%;width:.52%;height:3.71%'><img
border=0 src="slide0002_image029.png" style='position:absolute;top:44.87%;
left:49.13%;width:.79%;height:10.07%'><img border=0 src="slide0002_image030.png"
style='position:absolute;top:57.59%;left:15.89%;width:4.23%;height:11.83%'><img
border=0 src="slide0002_image031.png" style='position:absolute;top:57.59%;
left:30.86%;width:4.37%;height:11.83%'><img border=0
src="slide0002_image032.png" style='position:absolute;top:57.59%;left:46.35%;
width:4.23%;height:11.83%'><img border=0 src="slide0002_image033.png"
style='position:absolute;top:57.59%;left:60.92%;width:4.23%;height:11.83%'><img
border=0 src="slide0002_image034.png" style='position:absolute;top:57.59%;
left:75.62%;width:4.23%;height:11.83%'><img border=0
src="slide0002_image035.png" style='position:absolute;top:57.59%;left:90.86%;
width:4.23%;height:11.83%'><img border=0 src="slide0002_image036.png"
style='position:absolute;top:84.09%;left:56.42%;width:1.98%;height:1.41%'><img
border=0 src="slide0002_image037.png" style='position:absolute;top:80.21%;
left:25.96%;width:1.98%;height:11.83%'><img border=0
src="slide0002_image038.png" style='position:absolute;top:84.98%;left:86.09%;
width:1.85%;height:2.12%'>

<div style='position:absolute;top:75.61%;left:1.58%;width:13.9%;height:13.78%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:7.69%;left:.95%;width:99.04%;
height:85.89%'>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:7.69%;width:83.65%;
height:32.83%'><span style='font-family:Arial;font-size:150%;color:#FFFF99'><b>BXD
RI<br>
</b></span></div>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:32.83%;left:0%;width:100.0%;
height:32.83%'><span style='font-family:Arial;font-size:150%;color:#FFFF99'><b>Strain
set<br>
</b></span></div>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:67.16%;left:7.69%;width:83.65%;
height:32.83%'><span style='font-family:Arial;font-size:150%;color:#FFFF99;
mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</div>

</div>

<img border=0 src="slide0002_image039.png" style='position:absolute;top:12.36%;
left:14.17%;width:10.59%;height:6.36%'><img border=0
src="slide0002_image040.png" style='position:absolute;top:10.6%;left:76.42%;
width:14.3%;height:8.3%'>

<div style='position:absolute;top:20.84%;left:17.48%;width:9.53%;height:13.78%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:7.69%;left:6.94%;width:88.88%;
height:85.89%'>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:7.81%;width:82.81%;
height:32.83%'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>fully<br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:32.83%;left:0%;width:100.0%;
height:32.83%'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>inbred<br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:67.16%;left:7.81%;width:82.81%;
height:32.83%'><span style='font-family:Arial;font-size:150%;color:#FFFF99;
mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:38.16%;left:2.91%;width:11.78%;height:9.71%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:9.09%;left:3.37%;width:94.38%;
height:81.81%'>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:0%;width:100.0%;
height:48.88%'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>isogenic<br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:51.11%;left:8.33%;width:83.33%;
height:48.88%'><span style='font-family:Arial;font-size:150%;color:#FFFF99;
mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:54.41%;left:1.85%;width:12.18%;height:13.78%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:7.69%;left:2.17%;width:95.65%;
height:85.89%'>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:7.95%;width:84.09%;
height:32.83%'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>hetero-<br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:32.83%;left:0%;width:100.0%;
height:32.83%'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>geneous<br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:67.16%;left:7.95%;width:84.09%;
height:32.83%'><span style='font-family:Arial;font-size:150%;color:#FFFF99;
mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:74.91%;left:29.0%;width:21.98%;height:21.73%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:4.06%;left:5.42%;width:89.15%;
height:91.86%'>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:0%;width:100.0%;
height:79.64%'><span style='position:absolute;top:0%;left:.67%;width:99.32%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>Recombined </span></span><span
style='position:absolute;top:25.55%;left:.67%;width:99.32%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>chromosomes </span></span><span
style='position:absolute;top:51.11%;left:0%;width:100.0%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>are needed for </span></span><span
style='position:absolute;top:75.55%;left:.67%;width:99.32%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>mapping<br>
</span></span></div>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:80.53%;left:.67%;width:99.32%;
height:19.46%'><span style='font-family:Arial;font-size:150%;color:#FFFF99;
mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:10.24%;left:25.56%;width:10.46%;height:9.71%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:9.09%;left:12.65%;width:87.34%;
height:81.81%'>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>female<br>
</span></div>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:51.11%;left:0%;width:84.05%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:10.24%;left:64.5%;width:7.94%;height:9.71%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:9.09%;left:15.0%;width:83.33%;
height:81.81%'>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99'>male<br>
</span></div>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:51.11%;left:0%;width:84.0%;height:48.88%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:30.56%;left:78.01%;width:19.47%;height:9.71%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:16.36%;left:6.12%;width:93.19%;
height:74.54%'>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:41.46%'><span
style='font-family:Arial;font-size:117%;color:#FFFF99'>chromosome pair</span><span
style='font-family:Arial;font-size:150%;color:#FFFF99;display:none'><br>
</span></div>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:46.34%;left:0%;width:83.21%;height:53.65%'><span
style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

</div>

<img border=0 src="slide0002_image041.png" style='position:absolute;top:31.09%;
left:65.82%;width:12.84%;height:2.82%'>

<div style='position:absolute;top:86.21%;left:3.97%;width:9.8%;height:14.13%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:5.0%;left:5.4%;width:90.54%;
height:87.5%'>

<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:8.95%;width:82.08%;
height:24.28%'><span style='font-family:Arial;font-size:117%;color:#E9EB5D'>Inbred<br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:25.71%;left:0%;width:100.0%;
height:24.28%'><span style='font-family:Arial;font-size:117%;color:#E9EB5D'>Isogenic<br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:50.0%;left:4.47%;width:89.55%;
height:24.28%'><span style='font-family:Arial;font-size:117%;color:#E9EB5D'>siblings</span><span
style='font-family:Arial;font-size:117%;color:aqua;display:none'><br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:75.71%;left:8.95%;width:82.08%;
height:24.28%'><span style='font-family:Arial;font-size:117%;color:aqua;
mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<img border=0 src="slide0002_image042.png" style='position:absolute;top:79.32%;
left:83.84%;width:1.98%;height:11.83%'><img border=0
src="slide0002_image043.png" style='position:absolute;top:84.8%;left:83.7%;
width:1.85%;height:2.12%'><img border=0 src="slide0002_image044.png"
style='position:absolute;top:79.85%;left:53.5%;width:1.98%;height:11.83%'><img
border=0 src="slide0002_image045.png" style='position:absolute;top:83.92%;
left:53.5%;width:1.98%;height:1.41%'><img border=0 src="slide0002_image046.png"
style='position:absolute;top:80.21%;left:23.44%;width:1.98%;height:11.83%'>

<div style='position:absolute;top:18.72%;left:43.04%;width:13.77%;height:9.54%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='mso-line-spacing:"-341 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;position:absolute;top:11.11%;left:9.61%;width:90.38%;
height:79.62%'><span style='font-family:Arial;font-size:300%;color:aqua'>B</span><span
style='font-family:Arial;font-size:300%;color:#FFFF99'>X</span><span
style='font-family:Arial;font-size:300%;color:#FF1911'>D</span></div>

</div>

<img border=0 src="slide0002_image047.png" style='position:absolute;top:27.2%;
left:32.98%;width:31.39%;height:4.06%'><img border=0
src="slide0002_image048.png" style='position:absolute;top:66.25%;left:60.92%;
width:1.98%;height:3.18%'><img border=0 src="slide0002_image049.png"
style='position:absolute;top:64.31%;left:15.89%;width:1.98%;height:5.3%'><img
border=0 src="slide0002_image050.png" style='position:absolute;top:57.59%;
left:75.62%;width:1.98%;height:5.65%'><img border=0 src="slide0002_image051.png"
style='position:absolute;top:28.44%;left:48.87%;width:.92%;height:8.12%'><img
border=0 src="slide0002_image052.png" style='position:absolute;top:62.19%;
left:23.84%;width:3.57%;height:16.96%'><img border=0
src="slide0002_image053.png" style='position:absolute;top:61.48%;left:63.17%;
width:1.98%;height:8.12%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>The next few slides
  provide a short introduction to mapping the loci that are responsible for
  variation in a trait such as App expression level. These modulatory regions
  of the genome are sometimes called quantitative trait loci or QTLs. You may
  want to do some independent reading on this topic if this is your first
  exposure to QTL analysis.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>The genetic reference
  population (GRP) of BXD recombinant inbred strains were originally generated
  about 25 years ago by Benjamin Taylor at The Jackson Laboratory. He crossed
  female C57BL/6J mice with male DBA/2J mice to generate the F1 and F2 progeny.
  At the bottom of this slide we have schematized one chromosome pair from
  three of the BXD RI strains.<span style="mso-spacerun: yes">&nbsp; </span>The
  dashed vertical lines that lead to the final BXD RI lines involve 21 full sib
  matings (about 7 years of breeding). Some lines die out during inbreeding.
  For example, there is no longer any BXD3 strain.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>1. Over the last decade,
  our group (Lu Lu and Rob Williams) and Jeremy Peirce and Lee Silver at
  Princeton have enlarged Ben TaylorÕs set. There are now just over 80 BXD
  strains. They have all been genotyped using about 13,700 markers (SNPs and
  microsatellites). These markers are used to define the ÒblueÓ and ÒredÓ
  regions of the chromosomes as shown in the figure above.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>2. Chromosomes of RI GRPs
  usually have about 4 times as many recombinations as those of F2 animals.
  However, unlike an F2, both chromosomes of an RI are identical. Therefore, 50
  RI strains contain as many recombinations as 100 F2 animals.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>3. BXD43 through BXD100
  were generated using a special method that resulted in a further doubling of
  the average recombination density per chromosome. The entire set of 80 BXDs
  therefore contains as many recombinations as about 260 F2 animals.</font><br>
  </td>
 </tr>
</table>

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<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
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<table border=0 width="100%">
 <tr>
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  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The next few slides
  provide a short introduction to mapping the loci that are responsible for
  variation in a trait such as App expression level. These modulatory regions
  of the genome are sometimes called quantitative trait loci or QTLs. You may
  want to do some independent reading on this topic if this is your first
  exposure to QTL analysis.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The genetic reference
  population (GRP) of BXD recombinant inbred strains were originally generated
  about 25 years ago by Benjamin Taylor at The Jackson Laboratory. He crossed
  female C57BL/6J mice with male DBA/2J mice to generate the F1 and F2 progeny.
  At the bottom of this slide we have schematized one chromosome pair from
  three of the BXD RI strains.<span style="mso-spacerun: yes">&nbsp; </span>The
  dashed vertical lines that lead to the final BXD RI lines involve 21 full sib
  matings (about 7 years of breeding). Some lines die out during inbreeding.
  For example, there is no longer any BXD3 strain.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>1. Over the last decade,
  our group (Lu Lu and Rob Williams) and Jeremy Peirce and Lee Silver at
  Princeton have enlarged Ben TaylorÕs set. There are now just over 80 BXD
  strains. They have all been genotyped using about 13,700 markers (SNPs and
  microsatellites). These markers are used to define the ÒblueÓ and ÒredÓ
  regions of the chromosomes as shown in the figure above.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. Chromosomes of RI GRPs
  usually have about 4 times as many recombinations as those of F2 animals.
  However, unlike an F2, both chromosomes of an RI are identical. Therefore, 50
  RI strains contain as many recombinations as 100 F2 animals.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3. BXD43 through BXD100
  were generated using a special method that resulted in a further doubling of
  the average recombination density per chromosome. The entire set of 80 BXDs
  therefore contains as many recombinations as about 260 F2 animals.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'><img
border=0 src="slide0003_image054.png" style='position:absolute;top:40.45%;
left:73.24%;width:14.56%;height:5.3%'>

<div class=O style='position:absolute;top:40.81%;left:74.56%;width:11.92%;
height:7.24%'>

<div style='mso-line-spacing:"-126 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:60.97%'><span
style='font-family:Gadget;font-size:150%;color:white'>aa<br>
</span></div>

<div style='mso-line-spacing:"-126 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:41.46%;left:0%;width:100.0%;height:60.97%'><span
style='font-family:Gadget;font-size:150%;color:white;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

<img border=0 src="slide0003_image055.png" style='position:absolute;top:16.6%;
left:73.24%;width:14.56%;height:5.3%'>

<div class=O style='position:absolute;top:16.96%;left:74.56%;width:11.92%;
height:7.24%'>

<div style='mso-line-spacing:"-126 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:60.97%'><span
style='font-family:Gadget;font-size:150%;color:white'>aaaa<br>
</span></div>

<div style='mso-line-spacing:"-126 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:41.46%;left:0%;width:100.0%;height:60.97%'><span
style='font-family:Gadget;font-size:150%;color:white;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

<div style='position:absolute;top:20.31%;left:71.65%;width:25.96%;height:19.43%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:10.0%;left:5.1%;width:95.4%;
height:84.54%'>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:0%;left:0%;width:100.0%;height:45.16%'><span
style='font-size:267%;color:#E2EBF0'>D2 strain</span><span style='font-family:
Palatino;font-size:333%;color:#FBFDB8;display:none'><br>
</span></div>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:49.46%;left:0%;width:88.77%;height:50.53%'><span
style='font-family:Palatino;font-size:333%;color:#FBFDB8;mso-special-format:
lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:43.81%;left:71.65%;width:25.56%;height:19.43%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:10.9%;left:5.18%;width:94.81%;
height:84.54%'>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:0%;left:0%;width:100.0%;height:45.16%'><span
style='font-size:267%;color:#F6BF69'>B6 strain</span><span style='font-family:
Palatino;font-size:333%;color:#F6BF69;display:none'><br>
</span></div>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:48.38%;left:0%;width:87.43%;height:50.53%'><span
style='font-family:Palatino;font-size:333%;color:#F6BF69;mso-special-format:
lastCR;display:none'><br>
</span></div>

</div>

</div>

<img border=0 src="slide0003_image056.png" style='position:absolute;top:17.31%;
left:31.25%;width:1.32%;height:42.22%'><img border=0
src="slide0003_image057.png" style='position:absolute;top:40.63%;left:31.39%;
width:39.86%;height:3.53%'>

<div style='position:absolute;top:20.67%;left:38.27%;width:30.19%;height:26.32%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:6.04%;left:4.38%;width:92.1%;
height:89.93%'>

<div style='mso-line-spacing:"-320 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:0%;left:0%;width:100.0%;height:58.2%'><span
style='position:absolute;top:0%;left:0%;width:100.0%'><span style='font-size:
233%;color:#E9EB5D'><i>amount of </i></span></span><span style='position:absolute;
top:53.84%;left:0%;width:100.0%'><span style='font-size:233%;color:#E9EB5D'><i>transcript</i></span><span
style='font-family:Palatino;font-size:367%;color:#E9EB5D;display:none'><br>
</span></span></div>

<div style='mso-line-spacing:"-422 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:61.19%;left:0%;width:100.0%;height:38.8%'><span
style='font-family:Palatino;font-size:367%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:6.0%;left:72.45%;width:21.05%;height:19.43%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:10.0%;left:6.28%;width:88.67%;
height:84.54%'>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:0%;left:0%;width:100.0%;height:45.16%'><span
style='font-size:267%;color:white'>4 </span><span style='font-size:233%;
color:white'>units</span><span style='font-family:Palatino;font-size:333%;
color:#E9EB5D;display:none'><br>
</span></div>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:49.46%;left:0%;width:100.0%;height:50.53%'><span
style='font-family:Palatino;font-size:333%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:29.5%;left:72.45%;width:21.05%;height:19.43%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:10.9%;left:6.28%;width:88.67%;
height:84.54%'>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:0%;left:0%;width:100.0%;height:45.16%'><span
style='font-size:267%;color:white'>2</span><span style='font-size:233%;
color:white'> units</span><span style='font-family:Palatino;font-size:333%;
color:#E9EB5D;display:none'><br>
</span></div>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:48.38%;left:0%;width:100.0%;height:50.53%'><span
style='font-family:Palatino;font-size:333%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><br>
</span></div>

</div>

</div>

<img border=0 src="slide0003_image058.png" style='position:absolute;top:15.72%;
left:31.25%;width:40.26%;height:5.47%'>

<div class=O style='position:absolute;top:17.84%;left:9.93%;width:4.76%;
height:16.43%'>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:50.53%'><span
style='font-size:300%;color:#E2EBF0'>D<br>
</span></div>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:49.46%;left:0%;width:83.33%;height:50.53%'><span
style='font-size:300%;color:#E2EBF0;mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

<div class=O style='position:absolute;top:17.84%;left:17.88%;width:4.23%;
height:16.43%'>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:50.53%'><span
style='font-size:300%;color:#F6BF69'>B<br>
</span></div>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:49.46%;left:0%;width:84.37%;height:50.53%'><span
style='font-size:300%;color:#F6BF69;mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

<div style='position:absolute;top:79.5%;left:5.43%;width:104.1%;height:13.6%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=O style='mso-line-spacing:"-256 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;position:absolute;top:3.89%;left:1.27%;width:98.72%;
height:93.5%'><span style='position:absolute;top:0%;left:0%;width:100.0%'><span
style='font-size:233%;color:#E2EBF0'>D</span><span style='font-size:233%;
color:#E9EB5D'> </span><span style='font-size:200%;color:#E9EB5D'>and </span><span
style='font-size:233%;color:#F6BF69'>B</span><span style='font-size:233%;
color:#E9EB5D'> </span><span style='font-size:200%;color:#E9EB5D'>may be
SNP-like variants in the promoter </span></span><span style='position:absolute;
top:34.72%;left:0%;width:99.74%'><span style='font-size:200%;color:#E9EB5D'>itself
(cis QTL) or in </span><span style='font-size:200%;color:#EAEC5E'>upstream
genes (trans QTLs)</span><span style='font-size:300%;color:#E9EB5D'>.</span></span></div>

</div>

<div class=O style='position:absolute;top:7.59%;left:4.23%;width:22.78%;
height:16.25%'>

<div style='text-align:center;mso-line-spacing:"-233 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:1.74%;width:97.09%;
height:33.69%'><span style='font-size:200%;color:#E9EB5D'>UPSTREAM<br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-233 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:32.6%;left:0%;width:100.0%;
height:33.69%'><span style='font-size:200%;color:#E9EB5D'>modulators<br>
</span></div>

<div style='text-align:center;mso-line-spacing:"-233 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:66.3%;left:4.65%;width:90.69%;
height:33.69%'><span style='font-size:200%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><br>
</span></div>

</div>

<div style='position:absolute;top:7.59%;left:44.5%;width:16.95%;height:17.84%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:3.96%;left:7.03%;width:85.15%;
height:92.07%'>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:0%;left:0%;width:100.0%;height:50.53%'><span
style='font-size:300%;color:#E2EBF0'>High<br>
</span></div>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16;position:absolute;top:49.46%;left:0%;width:100.0%;height:50.53%'><span
style='font-size:300%;color:#E2EBF0;mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:63.78%;left:8.74%;width:6.35%;height:17.84%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=O style='position:absolute;top:3.96%;left:20.83%;width:75.0%;
height:92.07%'>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:50.53%'><span
style='font-size:300%;color:#E2EBF0'>D<br>
</span></div>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:49.46%;left:0%;width:83.33%;height:50.53%'><span
style='font-size:300%;color:#E2EBF0;mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:63.78%;left:15.09%;width:5.96%;height:17.84%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=O style='position:absolute;top:3.96%;left:20.0%;width:71.11%;
height:92.07%'>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:50.53%'><span
style='font-size:300%;color:#F6BF69'>B<br>
</span></div>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:49.46%;left:0%;width:84.37%;height:50.53%'><span
style='font-size:300%;color:#F6BF69;mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<div style='position:absolute;top:71.02%;left:7.54%;width:16.02%;height:12.54%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=O style='position:absolute;top:5.63%;left:7.43%;width:91.73%;
height:87.32%'>

<div style='mso-line-spacing:"-233 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:50.0%'><span
style='font-size:200%;color:#E9EB5D'><i>cis QTL</i></span><span
style='font-size:200%;color:#E9EB5D;display:none'><br>
</span></div>

<div style='mso-line-spacing:"-233 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:48.38%;left:0%;width:82.88%;height:50.0%'><span
style='font-size:200%;color:#E9EB5D;mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<img border=0 src="slide0003_image059.png" style='position:absolute;top:57.24%;
left:-1.05%;width:101.98%;height:7.59%'>

<div class=O style='position:absolute;top:44.16%;left:47.15%;width:9.4%;
height:12.72%'>

<div style='mso-line-spacing:"-272 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:51.38%'><span
style='font-size:233%;color:#F6BF69'>Low<br>
</span></div>

<div style='mso-line-spacing:"-272 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:50.0%;left:0%;width:83.09%;height:51.38%'><span
style='font-size:233%;color:#F6BF69;mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

<div style='position:absolute;top:58.12%;left:.79%;width:113.37%;height:6.36%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=O style='mso-line-spacing:"-200 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;position:absolute;top:11.11%;left:1.16%;width:98.83%;
height:75.0%'><span style='font-family:Gadget;font-size:167%;color:white'>&gt;&gt;&gt;&gt;PROMOTER--ATG-Exon1-Intron1-Exon2-Intron2
- etc-3'UTR &gt;&gt;&gt;&gt;&gt;</span></div>

</div>

<img border=0 src="slide0003_image060.png" style='position:absolute;top:37.98%;
left:8.6%;width:13.77%;height:20.67%'>

<div class=O style='position:absolute;top:40.28%;left:10.99%;width:1.72%;
height:11.48%'>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:0%;width:100.0%;
height:46.15%'><span style='font-family:"\30D2\30E9\30AE\30CE\89D2\30B4 Pro W3";
font-size:233%;color:white'><b>&#4;</b></span><span style='font-family:Palatino;
font-size:233%;color:white;display:none'><b><br>
</b></span></div>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:50.76%;left:7.69%;width:84.61%;
height:50.76%'><span style='font-family:Palatino;font-size:233%;color:white;
mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</div>

<div class=O style='position:absolute;top:40.63%;left:18.41%;width:1.72%;
height:11.48%'>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:0%;width:100.0%;
height:46.15%'><span style='font-family:"\30D2\30E9\30AE\30CE\89D2\30B4 Pro W3";
font-size:233%;color:white'><b>&#4;</b></span><span style='font-family:Palatino;
font-size:233%;color:white;display:none'><b><br>
</b></span></div>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:49.23%;left:7.69%;width:84.61%;
height:50.76%'><span style='font-family:Palatino;font-size:233%;color:white;
mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</div>

<img border=0 src="slide0003_image061.png" style='position:absolute;top:33.74%;
left:8.6%;width:13.77%;height:20.67%'>

<div class=O style='position:absolute;top:36.39%;left:18.41%;width:1.72%;
height:11.48%'>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:0%;width:100.0%;
height:46.15%'><span style='font-family:"\30D2\30E9\30AE\30CE\89D2\30B4 Pro W3";
font-size:233%;color:white'><b>&#4;</b></span><span style='font-family:Palatino;
font-size:233%;color:white;display:none'><b><br>
</b></span></div>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:49.23%;left:7.69%;width:84.61%;
height:50.76%'><span style='font-family:Palatino;font-size:233%;color:white;
mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</div>

<div class=O style='position:absolute;top:36.04%;left:10.99%;width:1.72%;
height:11.48%'>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:0%;width:100.0%;
height:46.15%'><span style='font-family:"\30D2\30E9\30AE\30CE\89D2\30B4 Pro W3";
font-size:233%;color:white'><b>&#4;</b></span><span style='font-family:Palatino;
font-size:233%;color:white;display:none'><b><br>
</b></span></div>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:49.23%;left:7.69%;width:84.61%;
height:50.76%'><span style='font-family:Palatino;font-size:233%;color:white;
mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</div>

<div class=O style='position:absolute;top:37.8%;left:20.66%;width:.13%;
height:12.01%'>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:0%;left:0%;width:100.0%;
height:48.52%'><span style='font-family:Palatino;font-size:233%;color:white;
display:none'><b><br>
</b></span></div>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17;position:absolute;top:51.47%;left:0%;width:100.0%;
height:48.52%'><span style='font-family:Palatino;font-size:233%;color:white;
mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</div>

<img border=0 src="slide0003_image062.png" style='position:absolute;top:27.38%;
left:4.9%;width:21.45%;height:21.37%'>

<div style='position:absolute;top:27.38%;left:5.03%;width:20.92%;height:12.54%;
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17;position:absolute;top:0%;left:0%;width:100.0%;height:50.0%'><span
style='font-size:200%;color:#E9EB5D'><i>trans QTL</i></span><span
style='font-size:200%;color:#E9EB5D;display:none'><br>
</span></div>

<div style='mso-line-spacing:"-233 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>This slide is
  illustrates two major types of QTLs that modulate variability in
  transcript-relative steady state abundance.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>1. cis QTLs are defined
  as QTLs that are closely linked to the gene whose transcript is the measured
  trait. For example, a polymorphism in the promoter that affects binding of a
  transcription factor. However, cis QTLs can be far upstream or downstream polymorphisms
  in enhancers or may be in 3Õ UTR binding sites that affect message stability.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>2. trans QTLs map far
  enough away from the location of the gene that gives rise to the transcript
  that is being measured so that we can be fairly certain that the QTL is not
  in the gene itself. The most blatant type of trans QTL would be a
  polymorphism in a transcription factor. But in the majority of cases, the
  trans QTLs can be far removed in a mechanistic sense from the actual events
  modulating transcript abundance. That is why there are three overlapping
  arrows in the figure.<span style="mso-spacerun: yes">&nbsp; </span>The way in
  which an upstream polymorphism influences a downstream difference in mRNA
  abundance can be indirect. Effects can:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3><span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>a.<span style="mso-spacerun:
  yes">&nbsp; </span>cross tissue types (a polymorphic liver enzyme may affect
  CNS gene expression)</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3><span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>b.<span style="mso-spacerun:
  yes">&nbsp; </span>cross time (the modulator is only expressed for one day
  during development but has permanent effects in adults)</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3><span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>c.<span style="mso-spacerun:
  yes">&nbsp; </span>may be contingent on environmental factors (heat shock may
  trigger the expression of a polymorphic factor that affects mRNA abundance).</font><br>
  </td>
 </tr>
</table>

</div>

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<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>This slide is
  illustrates two major types of QTLs that modulate variability in
  transcript-relative steady state abundance.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>1. cis QTLs are defined
  as QTLs that are closely linked to the gene whose transcript is the measured
  trait. For example, a polymorphism in the promoter that affects binding of a
  transcription factor. However, cis QTLs can be far upstream or downstream polymorphisms
  in enhancers or may be in 3Õ UTR binding sites that affect message stability.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. trans QTLs map far
  enough away from the location of the gene that gives rise to the transcript
  that is being measured so that we can be fairly certain that the QTL is not
  in the gene itself. The most blatant type of trans QTL would be a
  polymorphism in a transcription factor. But in the majority of cases, the
  trans QTLs can be far removed in a mechanistic sense from the actual events
  modulating transcript abundance. That is why there are three overlapping
  arrows in the figure.<span style="mso-spacerun: yes">&nbsp; </span>The way in
  which an upstream polymorphism influences a downstream difference in mRNA
  abundance can be indirect. Effects can:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2><span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>a.<span style="mso-spacerun:
  yes">&nbsp; </span>cross tissue types (a polymorphic liver enzyme may affect
  CNS gene expression)</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2><span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>b.<span style="mso-spacerun:
  yes">&nbsp; </span>cross time (the modulator is only expressed for one day
  during development but has permanent effects in adults)</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2><span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>c.<span style="mso-spacerun:
  yes">&nbsp; </span>may be contingent on environmental factors (heat shock may
  trigger the expression of a polymorphic factor that affects mRNA abundance).</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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href="webqtl_demo2.ppt.ppt">
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<meta name=Description content="Aug-15-05: Discovering upstream modulatory loci">
<link rel=Stylesheet href="master03_stylesheet.css">
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onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'><img
border=0 src="slide0004_image063.png" style='position:absolute;top:38.86%;
left:5.03%;width:84.9%;height:45.75%'>

<div style='position:absolute;top:5.47%;left:2.51%;width:93.64%;height:8.65%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";position:absolute;top:20.4%;
left:1.41%;width:97.31%;height:75.51%'><span style='font-family:Verdana;
font-size:64%'>Discovering upstream modulatory loci</span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

</div>

<img border=0 src="slide0004_image064.png" style='position:absolute;top:20.31%;
left:18.01%;width:19.2%;height:25.97%'><img border=0
src="slide0004_image065.png" style='position:absolute;top:32.5%;left:78.01%;
width:19.2%;height:25.97%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Please bring the Trait
  Data and Analysis window to the front and look for the Interval Mapping
  button. Confirm that you are back to the trait amyloid beta precursor
  protein.<span style="mso-spacerun: yes">&nbsp; </span>If so, then just click
  the button.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Notice that the default
  for:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Select Chrs (chromosomes)
  is ALL</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Select Mapping Scale is
  set to GENETIC</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Options: Permutation test
  YES<span style="mso-spacerun: yes">&nbsp; </span>(2000 is the default number)</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Options: Bootstrap test
  YES (2000 is the default number)</font><br>
  </td>
 </tr>
</table>

</div>

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 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Please bring the Trait
  Data and Analysis window to the front and look for the Interval Mapping
  button. Confirm that you are back to the trait amyloid beta precursor
  protein.<span style="mso-spacerun: yes">&nbsp; </span>If so, then just click
  the button.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Notice that the default
  for:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Select Chrs (chromosomes)
  is ALL</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Select Mapping Scale is
  set to GENETIC</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Options: Permutation test
  YES<span style="mso-spacerun: yes">&nbsp; </span>(2000 is the default number)</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Options: Bootstrap test
  YES (2000 is the default number)</font><br>
  </td>
 </tr>
</table>

</body>

</html>
\ No newline at end of file
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<head>
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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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href="webqtl_demo2.ppt.ppt">
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<meta name=Description
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<link rel=Stylesheet href="master03_stylesheet.css">
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<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:-.53%;left:1.72%;width:101.19%;height:8.65%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0;position:absolute;top:18.36%;left:.91%;width:98.95%;
height:75.51%'><span style='font-family:Verdana;font-size:64%'><i>WebQTL
searches for upstream controllers</i></span><span style='font-family:Verdana;
font-size:73%;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

</div>

<div style='position:absolute;top:71.02%;left:34.96%;width:45.96%;height:19.78%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:3.57%;left:2.3%;width:97.69%;
height:91.96%'><span style='position:absolute;top:0%;left:0%;width:98.82%'><span
style='font-size:167%;color:#E9EB5D'><i>App maps on Chr 16 (blue </i></span></span><span
style='position:absolute;top:25.24%;left:0%;width:100.0%'><span
style='font-size:167%;color:#E9EB5D'><i>arrow points to the orange </i></span></span><span
style='position:absolute;top:49.51%;left:0%;width:86.72%'><span
style='font-size:167%;color:#E9EB5D'><i>triangle) but the best </i></span></span><span
style='position:absolute;top:74.75%;left:0%;width:86.72%'><span
style='font-size:167%;color:#E9EB5D'><i>locus is on Chr 7.</i></span><span
style='font-size:233%;color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></div>

</div>

<img border=0 src="slide0005_image066.png" style='position:absolute;top:8.83%;
left:1.19%;width:98.27%;height:53.88%'><img border=0
src="slide0005_image067.png" style='position:absolute;top:46.64%;left:15.76%;
width:15.89%;height:53.35%'><img border=0 src="slide0005_image068.png"
style='position:absolute;top:46.64%;left:80.0%;width:10.99%;height:53.35%'><img
border=0 src="slide0005_image069.png" style='position:absolute;top:41.34%;
left:76.02%;width:11.65%;height:22.79%'><img border=0
src="slide0005_image070.png" style='position:absolute;top:41.51%;left:29.13%;
width:12.71%;height:24.38%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>This is a major output
  type: a so-called full-genome interval map.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>The X-axis represents all
  19 autosomes and the X chromosome as if they were laid end to end with short
  gaps between the telomere of one chromosome and the centromere of the next
  chromosome (mouse chromosomes only have a single long arm and the centromere
  represents the origin of each chromosome for numerical purpose: 0
  centimorgans at almost 0 megabases). The blue labels along the bottom of the
  figure list a subset of the 3795 markers that were used in mapping.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>The thick blue wavy line
  running across chromosomes summarizes the strength of association between
  variation in the phenotype (App expression differences) and the two genotypes
  of all markers and the intervals between markers (hence, interval mapping).<span
  style="mso-spacerun: yes">&nbsp; </span>The height of the wave (blue Y-axis
  to the left) provides the likelihood ratio statistic (LRS). Divide by 4.61 to
  convert these values to LOD scores.<span style="mso-spacerun: yes">&nbsp;
  </span>Or you can read them as a chi-square-like statistic.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>The red line and the red
  axis to the far right provide an estimate of the effect that a QTL has on
  expression of App (this estimate of the so-called additive effect tends to be
  too high). If the red line is below the X-axis then this means that the allele
  inherited from C57BL/6J (B6 or B) at a particular marker is associated with
  higher values. If the red line is above the X-axis then the DBA/2J allele (D2
  or D) is associated with higher trait values. Multiply the additive effect
  size by 2 to estimate the difference between the set of strains that have the
  B/B genotype and those that have the D/D genotype at a specific marker. For
  example, on distal Chr 7 the red line peaks at a value of about 0.2. That
  means that this region of chromosome 2 is responsible for a 0.4 unit
  expression difference between B/B strains and the D/D strains.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>The yellow histogram bars:
  These summarize the results of a whole-genome bootstrap of the trait that is
  performed 1000 times. What is a bootstrap? A bootstrap provides a method to
  evaluate whether results are robust. If we drop out one strain, do we still
  get the same results? When mapping quantitative traits, each strain normally
  gets one equally weighted vote. But using the bootstrap procedure, we give
  each strain a random weighting factor of between 0 and 1.<span
  style="mso-spacerun: yes">&nbsp; </span>We then remap the trait and find THE
  SINGLE BEST LRS VALUE per bootstrap. We do this 1000 times. In this example,
  most bootstrap results cluster on Chr 3 and Chr 7 under the LRS peaks. That
  is somewhat reassuring. But notice that a substantial number of bootstrap are
  scattered around on other chromosomes. About 30% of the bootstrap resamples
  have a peak on Chr 7. That is pretty good, but does makes us realize that the
  sample we are working with is still quite small and fragile.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>The horizontal dashed
  lines at 10.5 and 17.3 are the likelihood ratio statistic (LRS) values
  associated with the suggestive and significant genome-wide probabilities that
  were established by permutations of phenotypes across genotypes. We shuffle
  randomly 2000 times and obtain a distribution of peak LRS scores to generate
  a null distribution. Five percent of the time, one of these permuted data
  sets will have a peak LRS higher than 17.3. We call that level the 0.05
  significance threshold for a whole genome scan. The p = 0.67 point is the
  suggestive level, and corresponds to the green dashed line.<span
  style="mso-spacerun: yes">&nbsp; </span>These thresholds are conservative for
  transcripts that have expression variation that is highly heritable. The putative
  or suggestive QTL on Chr 3 is probably more than just suggestive.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>One other point: the
  mapping procedure we use is computationally very fast, but it is relatively
  simple. We are not looking for gene-gene interactions and we are not fitting
  multiple QTLs in combinations. Consider this QTL analysis a first pass that
  will highlight hot spots and warm spots that are worth following up on using
  more sophisticated models.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>CLICKABLE REGIONS:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>1. If you click on the
  Chromosome number then you will generate a new map just for that chromosome.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>2. If you click on the
  body of the map, say on the blue line, then you will generate a view on a 10
  Mb window of that part of the genome from the UCSC Genome Browser web site.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>3. If you click on a
  marker symbol, then you will generate a new Trait data and Analysis window
  with the genotypes loaded into the window just like any other trait. More on
  this in Section 3.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>4. You can drag these maps
  off of the browser window and onto your desktop. They will be saved as PNG or
  PDF files. You can import them into Photoshop or other programs.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>5. There is also an option
  at the bottom of the page to download a 2X higher resolution image of this
  plot for papers and presentations.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>6. You can also download
  the results of the analysis in a text format</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
\ No newline at end of file
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--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0005_notes_pane.htm
+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>This is a major output
  type: a so-called full-genome interval map.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The X-axis represents all
  19 autosomes and the X chromosome as if they were laid end to end with short
  gaps between the telomere of one chromosome and the centromere of the next
  chromosome (mouse chromosomes only have a single long arm and the centromere
  represents the origin of each chromosome for numerical purpose: 0
  centimorgans at almost 0 megabases). The blue labels along the bottom of the
  figure list a subset of the 3795 markers that were used in mapping.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The thick blue wavy line
  running across chromosomes summarizes the strength of association between
  variation in the phenotype (App expression differences) and the two genotypes
  of all markers and the intervals between markers (hence, interval mapping).<span
  style="mso-spacerun: yes">&nbsp; </span>The height of the wave (blue Y-axis
  to the left) provides the likelihood ratio statistic (LRS). Divide by 4.61 to
  convert these values to LOD scores.<span style="mso-spacerun: yes">&nbsp;
  </span>Or you can read them as a chi-square-like statistic.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The red line and the red
  axis to the far right provide an estimate of the effect that a QTL has on
  expression of App (this estimate of the so-called additive effect tends to be
  too high). If the red line is below the X-axis then this means that the allele
  inherited from C57BL/6J (B6 or B) at a particular marker is associated with
  higher values. If the red line is above the X-axis then the DBA/2J allele (D2
  or D) is associated with higher trait values. Multiply the additive effect
  size by 2 to estimate the difference between the set of strains that have the
  B/B genotype and those that have the D/D genotype at a specific marker. For
  example, on distal Chr 7 the red line peaks at a value of about 0.2. That
  means that this region of chromosome 2 is responsible for a 0.4 unit
  expression difference between B/B strains and the D/D strains.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The yellow histogram bars:
  These summarize the results of a whole-genome bootstrap of the trait that is
  performed 1000 times. What is a bootstrap? A bootstrap provides a method to
  evaluate whether results are robust. If we drop out one strain, do we still
  get the same results? When mapping quantitative traits, each strain normally
  gets one equally weighted vote. But using the bootstrap procedure, we give
  each strain a random weighting factor of between 0 and 1.<span
  style="mso-spacerun: yes">&nbsp; </span>We then remap the trait and find THE
  SINGLE BEST LRS VALUE per bootstrap. We do this 1000 times. In this example,
  most bootstrap results cluster on Chr 3 and Chr 7 under the LRS peaks. That
  is somewhat reassuring. But notice that a substantial number of bootstrap are
  scattered around on other chromosomes. About 30% of the bootstrap resamples
  have a peak on Chr 7. That is pretty good, but does makes us realize that the
  sample we are working with is still quite small and fragile.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The horizontal dashed
  lines at 10.5 and 17.3 are the likelihood ratio statistic (LRS) values
  associated with the suggestive and significant genome-wide probabilities that
  were established by permutations of phenotypes across genotypes. We shuffle
  randomly 2000 times and obtain a distribution of peak LRS scores to generate
  a null distribution. Five percent of the time, one of these permuted data
  sets will have a peak LRS higher than 17.3. We call that level the 0.05
  significance threshold for a whole genome scan. The p = 0.67 point is the
  suggestive level, and corresponds to the green dashed line.<span
  style="mso-spacerun: yes">&nbsp; </span>These thresholds are conservative for
  transcripts that have expression variation that is highly heritable. The putative
  or suggestive QTL on Chr 3 is probably more than just suggestive.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>One other point: the
  mapping procedure we use is computationally very fast, but it is relatively
  simple. We are not looking for gene-gene interactions and we are not fitting
  multiple QTLs in combinations. Consider this QTL analysis a first pass that
  will highlight hot spots and warm spots that are worth following up on using
  more sophisticated models.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>CLICKABLE REGIONS:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>1. If you click on the
  Chromosome number then you will generate a new map just for that chromosome.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. If you click on the
  body of the map, say on the blue line, then you will generate a view on a 10
  Mb window of that part of the genome from the UCSC Genome Browser web site.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3. If you click on a
  marker symbol, then you will generate a new Trait data and Analysis window
  with the genotypes loaded into the window just like any other trait. More on
  this in Section 3.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>4. You can drag these maps
  off of the browser window and onto your desktop. They will be saved as PNG or
  PDF files. You can import them into Photoshop or other programs.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>5. There is also an option
  at the bottom of the page to download a 2X higher resolution image of this
  plot for papers and presentations.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>6. You can also download
  the results of the analysis in a text format</font><br>
  </td>
 </tr>
</table>

</body>

</html>
\ No newline at end of file
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--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0006.htm
+++ /dev/null
@@ -1,25 +0,0 @@
-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
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visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:-.53%;left:1.72%;width:116.02%;height:8.65%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0;position:absolute;top:18.36%;left:.79%;width:99.2%;
height:75.51%'><span style='font-family:Verdana;font-size:64%'><i>Genetic
versus Physical maps for App expression</i></span><span style='font-family:
Verdana;font-size:73%;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

</div>

<img border=0 src="slide0006_image071.png" style='position:absolute;top:8.83%;
left:1.72%;width:98.27%;height:39.92%'><img border=0
src="slide0006_image072.png" style='position:absolute;top:35.51%;left:1.85%;
width:98.27%;height:54.06%'>

<div class=O style='position:absolute;top:91.69%;left:5.96%;width:95.23%;
height:7.42%'><span style='position:absolute;top:0%;left:0%;width:100.0%'><span
style='font-size:117%;color:#E9EB5D'><i>The difference between genetic and
physical scale is analogous to measuring the </i></span></span><span
style='position:absolute;top:42.85%;left:0%;width:96.66%'><span
style='font-size:117%;color:#E9EB5D'><i>separation between New York and Boston
in either travel hours or kilometers</i></span><span style='font-size:150%;
color:#E9EB5D'><i>.</i></span><span style='font-size:167%;color:#E9EB5D;
mso-special-format:lastCR;display:none'><i><br>
</i></span></span></div>

</div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>The map on the top has an
  X-axis scale based on frequency of recombinations events between markers (B
  to D transitions, see slide 19 for a color-coded example). These so-called
  genetic maps are scaled in centimorgan (recombinations per 100 gametes). In contrast,
  the physical map shown below the genetic map has an X-axis scale based on DNA
  length measured in nucleotides or base-pairs. Notice the large difference
  between the two maps in the size of Chr 19 (large on the genetic scale but
  small on the physical scale).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Also notice the large
  difference in the width of the chromosome 7 QTL peak. In mice, recombinations
  occur with higher frequency toward the telomeric side (right side) of each
  chromosome. As a result, genetic maps are stretched out more toward the
  telomere relative to a physical map. The QTL on distal Chr 7 is therefore
  actually more precisely mapped than might appear looking at the genetic map.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>The physical scale is
  becoming more useful than the genetic scale primarily because many other data
  types can be easily superimposed on a physical map. You will see more
  examples in the next several slides.</font><br>
  </td>
 </tr>
</table>

</div>

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--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0006_notes_pane.htm
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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
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<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The map on the top has an
  X-axis scale based on frequency of recombinations events between markers (B
  to D transitions, see slide 19 for a color-coded example). These so-called
  genetic maps are scaled in centimorgan (recombinations per 100 gametes). In contrast,
  the physical map shown below the genetic map has an X-axis scale based on DNA
  length measured in nucleotides or base-pairs. Notice the large difference
  between the two maps in the size of Chr 19 (large on the genetic scale but
  small on the physical scale).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Also notice the large
  difference in the width of the chromosome 7 QTL peak. In mice, recombinations
  occur with higher frequency toward the telomeric side (right side) of each
  chromosome. As a result, genetic maps are stretched out more toward the
  telomere relative to a physical map. The QTL on distal Chr 7 is therefore
  actually more precisely mapped than might appear looking at the genetic map.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The physical scale is
  becoming more useful than the genetic scale primarily because many other data
  types can be easily superimposed on a physical map. You will see more
  examples in the next several slides.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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href="webqtl_demo2.ppt.ppt">
<script>
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<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:-.53%;left:1.72%;width:101.05%;height:8.65%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0;position:absolute;top:18.36%;left:.91%;width:97.9%;
height:75.51%'><span style='font-family:Verdana;font-size:64%'>Physical map for
distal chromosome 7</span><span style='font-family:Verdana;font-size:73%;
mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

</div>

<div style='position:absolute;top:7.77%;left:5.82%;width:94.03%;height:6.18%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:11.42%;left:1.12%;width:98.87%;
height:74.28%'><span style='font-size:167%;color:#E9EB5D'>Distal Chr 7 from
~120 and 132 Mb may modulate</span><span style='font-size:167%;color:#E9EB5D'><i>
App</i></span><span style='font-size:200%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><i><br>
</i></span></div>

</div>

<img border=0 src="slide0007_image073.png" style='position:absolute;top:93.28%;
left:6.62%;width:75.23%;height:3.71%'><img border=0 src="slide0007_image075.png"
style='position:absolute;top:15.54%;left:6.62%;width:68.34%;height:75.61%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Physical map of variation
  in App expression in brain on distal Chr 7 (a blow up of the whole-genome map
  on the previous slide).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>1.</font><font face=Verdana
  size=3> You can now see that the X-axis is on a physical scale of megabases
  (Mb). The QTL peak is roughly between 120 and 132 Mb.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>2. The small irregular
  colored blocks and marks toward the top of the map mark the locations of
  genes superimposed on the physical map. Neighboring genes are offset slightly
  in the vertical axis for display purpose. Note one region of very high gene
  density from about 120 to 123 Mb.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>3. The orange hash marks
  along the X-axis represent the number of single nucleotide polymorphisms that
  distinguish the two parental strains (C57BL/6J and DBA/2J) from each other.
  We call this the SNP seismograph track (see Glossary for more details). Regions
  with low numbers of SNPs have closely matched sequences and are less likely
  to contain QTLs.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>4. As before, the thin red
  line shows the additive effect size. By convention the positive values
  signify the D alleles are associated with higher expression of App in this
  region of Chr 7 than the B alleles. The maximum effect size is about +0.20
  log2 expression units per D allele. The differences been the BB and DD
  genotypes (BB and DD because each strain has two alleles; one per chromosome)
  is therefore about 2^0.4 = 1.32 or a 32% increment in DD relative to BB at
  this locus.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>5. If you scroll just
  under the Physical Map you will see text that reads ÒDISPLAY from XXX Mb TO
  YYY MbÉ..Ó<span style="mso-spacerun: yes">&nbsp; </span>These physical maps
  are zoomable, a feature we will exploit to evaluate candidate genes in this
  QTL interval.</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

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-
-}
-//-->

-</script>
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--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0007_notes_pane.htm
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@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2.ppt.ppt">
<script>
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<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Physical map of variation
  in App expression in brain on distal Chr 7 (a blow up of the whole-genome map
  on the previous slide).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font face=Verdana
  size=2> You can now see that the X-axis is on a physical scale of megabases
  (Mb). The QTL peak is roughly between 120 and 132 Mb.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. The small irregular
  colored blocks and marks toward the top of the map mark the locations of
  genes superimposed on the physical map. Neighboring genes are offset slightly
  in the vertical axis for display purpose. Note one region of very high gene
  density from about 120 to 123 Mb.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3. The orange hash marks
  along the X-axis represent the number of single nucleotide polymorphisms that
  distinguish the two parental strains (C57BL/6J and DBA/2J) from each other.
  We call this the SNP seismograph track (see Glossary for more details). Regions
  with low numbers of SNPs have closely matched sequences and are less likely
  to contain QTLs.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>4. As before, the thin red
  line shows the additive effect size. By convention the positive values
  signify the D alleles are associated with higher expression of App in this
  region of Chr 7 than the B alleles. The maximum effect size is about +0.20
  log2 expression units per D allele. The differences been the BB and DD
  genotypes (BB and DD because each strain has two alleles; one per chromosome)
  is therefore about 2^0.4 = 1.32 or a 32% increment in DD relative to BB at
  this locus.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>5. If you scroll just
  under the Physical Map you will see text that reads ÒDISPLAY from XXX Mb TO
  YYY MbÉ..Ó<span style="mso-spacerun: yes">&nbsp; </span>These physical maps
  are zoomable, a feature we will exploit to evaluate candidate genes in this
  QTL interval.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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href="webqtl_demo2.ppt.ppt">
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border=0 src="slide0008_image076.png" style='position:absolute;top:34.09%;
left:1.72%;width:97.48%;height:61.48%'>

<div style='position:absolute;top:-1.06%;left:.79%;width:93.64%;height:8.65%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";position:absolute;top:18.36%;
left:1.41%;width:97.31%;height:75.51%'><span style='font-family:Verdana;
font-size:64%'>Evaluating candidate genes</span><span style='font-family:Verdana;
font-size:73%;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

</div>

<img border=0 src="slide0008_image077.png" style='position:absolute;top:8.83%;
left:1.72%;width:34.83%;height:22.61%'>

<div style='position:absolute;top:3.35%;left:69.53%;width:33.9%;height:17.84%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:3.96%;left:2.73%;width:93.75%;
height:91.08%'>

<div style='text-align:center;position:absolute;top:0%;left:0%;width:100.0%;
height:33.69%'><span style='font-size:200%;color:#E9EB5D'><i>Right
position<br>
</i></span></div>

<div style='text-align:center;position:absolute;top:32.6%;left:0%;width:100.0%;
height:67.39%'><span style='position:absolute;top:0%;left:.41%;width:100.0%'><span
style='font-size:200%;color:#E9EB5D'><i>and high </i></span></span><span
style='position:absolute;top:50.0%;left:0%;width:100.0%'><span
style='font-size:200%;color:#E9EB5D'><i>correlation</i></span></span></div>

</div>

</div>

<div style='position:absolute;top:17.84%;left:75.89%;width:21.72%;height:14.31%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:3.7%;left:0%;width:100.0%;height:
88.88%'>

<div style='text-align:center;position:absolute;top:0%;left:6.7%;width:86.58%;
height:58.33%'><span style='font-size:267%;color:#E9EB5D'><i><span
style="mso-spacerun: yes">&nbsp;</span></i></span><span style='font-size:200%;
color:#E9EB5D'><i>= better<br>
</i></span></div>

<div style='text-align:center;position:absolute;top:56.94%;left:0%;width:100.0%;
height:43.05%'><span style='font-size:200%;color:#E9EB5D'><i>candidates</i></span></div>

</div>

</div>

</div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4><b>Evaluating
  candidate genes (CHECKED BOXES) responsible for variability in APP
  expression:</b></font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>A large number
  of genes are usually in the QTL interval and are therefore POSITIONAL
  CANDIDATES, but they will differ greatly in their biological and
  bioinformatic plausibility. Assume that the QTL has been located between 119
  and 131 Mb (12 Mb). There will typically be 12 to 15 genes per Mb, so we
  might need to evaluate several hundred positional candidates. In this
  particular case there are about 100 known genes in this interval. Eight of
  these are highlighted in the table above with check marks in the boxes to the
  left.<span style="mso-spacerun: yes">&nbsp; </span>We need to highlight and
  objectively score the biologically relevant subset of all 100 positional
  candidate genes. We could look through gene ontologies and expression levels
  to help us shorten the list. An alternate way available using WebQTL is to
  generate a list of those genes in this interval that have transcripts that
  co-vary in expression with App expression. That is what the table shows.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>1. To replicate
  this table go back to the Trait Data and Analysis Form. Choose to sort
  correlations by POSITION and select RETURN = 500. Then scroll down the list
  to Chr 7 and review the subset of positional candidates that share expression
  with App. You should see a list similar to that shown above. Gtf3c1 is a good
  biological candidate and has a high covariation in expression with App.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>2. Caveat:<span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>Of course, the gene or genes
  that control App expression may not be in this list. A protein coding
  difference might be the ultimate cause of variation in App transcript level
  and the expression covariation might be close to zero. Our list may also
  simply be missing the right transcript since the microarray is not truly
  comprehensive. Furthermore, even if the list contains the QTL gene, an
  expression difference may only have been expressed early in development or
  even in another tissue such as liver. While it is important to recognize
  these caveats, it is equally important to devise a rational way to rank
  candidates given existing data. Coexpression is one of several criteria used
  to evaluate positional candidates. We will see others in the next slide.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>3. We can also
  assess the likelihood that candidates contain functional polymorphism in
  promoters and enhancers that affect their expression simply by mapping the
  transcripts of all candidate genes to see if they Òmap backÓ to the location
  of gene itself. A transcript that maps to its own location is referred to as
  a cis QTL. We essentially ask: Which of the transcripts listed in the
  Correlation Table above (from Gtf3c1 to Zranb1) has variation in expression
  that maps to Chr 7 at about 120 Mb?<span style="mso-spacerun: yes">&nbsp;
  </span>The logic of this search is that if a gene controls the level of its
  own expression it is also much more likely to generate other downstream
  effects. The Gtf3c1 transcript is a weak cis QTL with a local LRS maximum of
  about 7.0 (D alleles are high). That is just about sufficient to declare it
  to be a cis QTL. [No whole genome correction is required and a point-wise
  p-value of 0.05 is the appropriate test. A p-value of 0.05 is roughly
  equivalent to an LRS of 6.0 (LOD = 1.3).]</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</div>

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<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2.ppt.ppt">
<script>
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</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4><b>Evaluating
  candidate genes (CHECKED BOXES) responsible for variability in APP
  expression:</b></font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>A large number
  of genes are usually in the QTL interval and are therefore POSITIONAL
  CANDIDATES, but they will differ greatly in their biological and
  bioinformatic plausibility. Assume that the QTL has been located between 119
  and 131 Mb (12 Mb). There will typically be 12 to 15 genes per Mb, so we
  might need to evaluate several hundred positional candidates. In this
  particular case there are about 100 known genes in this interval. Eight of
  these are highlighted in the table above with check marks in the boxes to the
  left.<span style="mso-spacerun: yes">&nbsp; </span>We need to highlight and
  objectively score the biologically relevant subset of all 100 positional
  candidate genes. We could look through gene ontologies and expression levels
  to help us shorten the list. An alternate way available using WebQTL is to
  generate a list of those genes in this interval that have transcripts that
  co-vary in expression with App expression. That is what the table shows.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>1. To replicate
  this table go back to the Trait Data and Analysis Form. Choose to sort
  correlations by POSITION and select RETURN = 500. Then scroll down the list
  to Chr 7 and review the subset of positional candidates that share expression
  with App. You should see a list similar to that shown above. Gtf3c1 is a good
  biological candidate and has a high covariation in expression with App.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>2. Caveat:<span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>Of course, the gene or genes
  that control App expression may not be in this list. A protein coding
  difference might be the ultimate cause of variation in App transcript level
  and the expression covariation might be close to zero. Our list may also
  simply be missing the right transcript since the microarray is not truly
  comprehensive. Furthermore, even if the list contains the QTL gene, an
  expression difference may only have been expressed early in development or
  even in another tissue such as liver. While it is important to recognize
  these caveats, it is equally important to devise a rational way to rank
  candidates given existing data. Coexpression is one of several criteria used
  to evaluate positional candidates. We will see others in the next slide.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>3. We can also
  assess the likelihood that candidates contain functional polymorphism in
  promoters and enhancers that affect their expression simply by mapping the
  transcripts of all candidate genes to see if they Òmap backÓ to the location
  of gene itself. A transcript that maps to its own location is referred to as
  a cis QTL. We essentially ask: Which of the transcripts listed in the
  Correlation Table above (from Gtf3c1 to Zranb1) has variation in expression
  that maps to Chr 7 at about 120 Mb?<span style="mso-spacerun: yes">&nbsp;
  </span>The logic of this search is that if a gene controls the level of its
  own expression it is also much more likely to generate other downstream
  effects. The Gtf3c1 transcript is a weak cis QTL with a local LRS maximum of
  about 7.0 (D alleles are high). That is just about sufficient to declare it
  to be a cis QTL. [No whole genome correction is required and a point-wise
  p-value of 0.05 is the appropriate test. A p-value of 0.05 is roughly
  equivalent to an LRS of 6.0 (LOD = 1.3).]</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</body>

</html>
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<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2.ppt.ppt">
<script>
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<meta name=Description content="Aug-15-05: Physical maps are zoomable">
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onresize="_RSW()" onkeypress="_KPH(event)">

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width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
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style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:-.53%;left:1.72%;width:101.05%;height:8.65%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0;position:absolute;top:18.36%;left:.91%;width:97.9%;
height:75.51%'><span style='font-family:Verdana;font-size:64%'>Physical maps
are zoomable</span><span style='font-family:Verdana;font-size:73%;mso-special-format:
lastCR;display:none'><i><br>
</i></span></div>

</div>

<img border=0 src="slide0009_image078.png" style='position:absolute;top:8.83%;
left:3.31%;width:89.93%;height:41.69%'><img border=0
src="slide0009_image079.png" style='position:absolute;top:44.52%;left:7.54%;
width:42.91%;height:48.76%'><img border=0 src="slide0009_image080.png"
style='position:absolute;top:94.52%;left:0%;width:97.08%;height:3.71%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>An even higher blow-up of
  part of the Chr 7 physical map of variation in App expression in brain.<span
  style="mso-spacerun: yes">&nbsp; </span>The QTL region actually extends from
  about 119 to 129.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>1. As mentioned
  in the previous slide another important approach to ranking candidates is
  based on the number of sequence variants that distinguish the parental
  strains. If we were sure that the sequences of the gene, its promoter, and
  its enhancers were identical between the strains then we could discount--but
  not eliminate--that gene as a candidate. The Gtf3c1 candidate almost falls
  into this category: of 663 known SNPs in and around this gene, only four
  differ between C57BL/6J and DBA/2J. Gtf3c1 is essentially
  identical-by-descent in these strains and is a less likely candidate. In
  contrast, if the two alleles of the gene have dozens of functional variants
  in exons, promoters, enhancers, and splice sites, then it becomes a higher
  priority candidate.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>Of course it
  only takes a single critical sequence variant to generate downstream effects.
  The argument above is really about the prior probabilities. Where would you
  place your bets given the information at hand?</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>2.<span
  style="mso-spacerun: yes">&nbsp; </span>If you scroll down the INTERVAL
  ANALYST you will find that Ctbp2 is a particularly interesting candidate that
  contains lots of SNPs (n = 75 and a SNP density of 0.55 SNP/Kb). Ctbp2 is
  also closer to our QTL peak than was Gtf3c1. Not only does Ctbp2 contain lots
  of SNPs but it is also is associated with a powerful cis QTL with an LRS of
  24.2 (divide by 4.61 to get the equivalent LOD score of 5.25).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>3.<span
  style="mso-spacerun: yes">&nbsp; </span>At this high magnification,
  individual genes are distinct. They are color coded by their density of SNPs.
  Bright orange represents those genes that have a high SNP density (C57BL/6J
  versus DBA/2J), black represents genes with low SNP density. Roll the cursor
  over a gene block and its name will pop up, along with information on exon
  number.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>4.<span
  style="mso-spacerun: yes">&nbsp; </span>Beneath the physical map you will
  find an INTERVAL ANALYST table that lists information on known genes in the
  region on which you have zoomed the Physical Map.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>5.<span
  style="mso-spacerun: yes">&nbsp; </span>As always: error-checking is
  important. Some genes may be missing from the Interval Analyst (recent
  additions or errors of omission). In this case the Zranb1 gene that is
  located just proximal to Ctbp2 is not listed in the INTERVAL ANALYST.
  Double-check the interval using the Genome Browser links (blue and beige
  horizontal bars) at the top of the PHYSICAL MAP.</font><br>
  </td>
 </tr>
</table>

</div>

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<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
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<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
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 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>An even higher blow-up of
  part of the Chr 7 physical map of variation in App expression in brain.<span
  style="mso-spacerun: yes">&nbsp; </span>The QTL region actually extends from
  about 119 to 129.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>1. As mentioned
  in the previous slide another important approach to ranking candidates is
  based on the number of sequence variants that distinguish the parental
  strains. If we were sure that the sequences of the gene, its promoter, and
  its enhancers were identical between the strains then we could discount--but
  not eliminate--that gene as a candidate. The Gtf3c1 candidate almost falls
  into this category: of 663 known SNPs in and around this gene, only four
  differ between C57BL/6J and DBA/2J. Gtf3c1 is essentially
  identical-by-descent in these strains and is a less likely candidate. In
  contrast, if the two alleles of the gene have dozens of functional variants
  in exons, promoters, enhancers, and splice sites, then it becomes a higher
  priority candidate.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>Of course it
  only takes a single critical sequence variant to generate downstream effects.
  The argument above is really about the prior probabilities. Where would you
  place your bets given the information at hand?</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2.<span
  style="mso-spacerun: yes">&nbsp; </span>If you scroll down the INTERVAL
  ANALYST you will find that Ctbp2 is a particularly interesting candidate that
  contains lots of SNPs (n = 75 and a SNP density of 0.55 SNP/Kb). Ctbp2 is
  also closer to our QTL peak than was Gtf3c1. Not only does Ctbp2 contain lots
  of SNPs but it is also is associated with a powerful cis QTL with an LRS of
  24.2 (divide by 4.61 to get the equivalent LOD score of 5.25).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3.<span
  style="mso-spacerun: yes">&nbsp; </span>At this high magnification,
  individual genes are distinct. They are color coded by their density of SNPs.
  Bright orange represents those genes that have a high SNP density (C57BL/6J
  versus DBA/2J), black represents genes with low SNP density. Roll the cursor
  over a gene block and its name will pop up, along with information on exon
  number.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>4.<span
  style="mso-spacerun: yes">&nbsp; </span>Beneath the physical map you will
  find an INTERVAL ANALYST table that lists information on known genes in the
  region on which you have zoomed the Physical Map.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>5.<span
  style="mso-spacerun: yes">&nbsp; </span>As always: error-checking is
  important. Some genes may be missing from the Interval Analyst (recent
  additions or errors of omission). In this case the Zranb1 gene that is
  located just proximal to Ctbp2 is not listed in the INTERVAL ANALYST.
  Double-check the interval using the Genome Browser links (blue and beige
  horizontal bars) at the top of the PHYSICAL MAP.</font><br>
  </td>
 </tr>
</table>

</body>

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<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
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visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:0%;left:1.72%;width:106.35%;height:7.24%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0;position:absolute;top:12.19%;left:.87%;width:99.12%;
height:90.24%'><span style='font-family:Verdana;font-size:64%'>Evaluating </span><span
style='font-family:Verdana;font-size:64%'><i>Ctbp2</i></span><span
style='font-family:Verdana;font-size:64%'> as a candidate QTL for </span><span
style='font-family:Verdana;font-size:64%'><i>App</i></span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

</div>

<img border=0 src="slide0010_image082.png" style='position:absolute;top:94.52%;
left:3.31%;width:96.68%;height:4.24%'><img border=0 src="slide0010_image083.png"
style='position:absolute;top:7.77%;left:3.31%;width:48.34%;height:40.28%'>

<div class=O style='position:absolute;top:52.82%;left:55.23%;width:35.76%;
height:37.98%'><span style='position:absolute;top:0%;left:0%;width:94.81%'><span
style='font-size:233%;color:#E9EB5D'>This is</span><span style='font-size:233%;
color:#E9EB5D'><i> the </i></span></span><span style='position:absolute;
top:16.74%;left:0%;width:95.92%'><span style='font-size:233%;color:#E9EB5D'><i>Ctbp2
</i></span><span style='font-size:233%;color:#E9EB5D'>cis QTL, </span></span><span
style='position:absolute;top:33.48%;left:0%;width:98.14%'><span
style='font-size:233%;color:#E9EB5D'>but is detected </span></span><span
style='position:absolute;top:49.76%;left:0%;width:94.81%'><span
style='font-size:233%;color:#E9EB5D'>only in the </span></span><span
style='position:absolute;top:66.51%;left:0%;width:100.0%'><span
style='font-size:233%;color:#E9EB5D'>Rosen striatum </span></span><span
style='position:absolute;top:83.25%;left:0%;width:94.81%'><span
style='font-size:233%;color:#E9EB5D'>data set.</span><span style='font-size:
233%;color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></div>

<div class=O style='position:absolute;top:16.25%;left:56.02%;width:48.21%;
height:12.72%'><span style='position:absolute;top:0%;left:0%;width:94.78%'><span
style='font-size:233%;color:#E9EB5D'>This is</span><span style='font-size:233%;
color:#E9EB5D'><i> the App QTL </i></span></span><span style='position:absolute;
top:48.61%;left:0%;width:100.0%'><span style='font-size:233%;color:#E9EB5D'>in
the INIA data set. </span><span style='font-size:233%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><i><br>
</i></span></span></div>

<img border=0 src="slide0010_image084.png" style='position:absolute;top:39.39%;
left:3.31%;width:48.47%;height:53.35%'><img border=0
src="slide0010_image085.png" style='position:absolute;top:10.95%;left:35.36%;
width:.39%;height:72.79%'><img border=0 src="slide0010_image086.png"
style='position:absolute;top:10.95%;left:31.52%;width:.39%;height:72.79%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>This slide illustrates one
  reason why Ctbp2 should be considered a high priority positional candidate
  gene that may modulate the expression level of App.<span style="mso-spacerun:
  yes">&nbsp; </span>Ctbp2 is a strong cis QTL in some brain regions (here the
  data are taken from the striatum).<span style="mso-spacerun: yes">&nbsp;
  </span>If Ctbp2 contains variants that modulate its own expression then these
  expression differences may produce many downstream effects. Of course, we now
  want to know much more about the known biology of Ctbp2. What kind of gene is
  it? To begin to answer that question we can use a number of resources listed
  in the LINKS page.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>1.</font><font face=Verdana
  size=3> The App QTL is bimodal. Perhaps there are actually two causal factors
  in this region--one close to 123 Mb and the other close to 127 Mb.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>2. The precision of QTL
  mapping depends on several factors, including the effect size and
  interactions among QTLs modulating a trait, the number of genetic individuals
  that are studied, and the distribution of recombinations in the study
  population.<span style="mso-spacerun: yes">&nbsp; </span>In the case above,
  the QTL(s) are likely to be confined to the interval from 120 to 132 Mb. The
  bootstrap test (yellow bars shown in some of the previous slides) can be
  usual for estimating the consistency of QTL peaks.</font><br>
  </td>
 </tr>
</table>

</div>

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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
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<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>This slide illustrates one
  reason why Ctbp2 should be considered a high priority positional candidate
  gene that may modulate the expression level of App.<span style="mso-spacerun:
  yes">&nbsp; </span>Ctbp2 is a strong cis QTL in some brain regions (here the
  data are taken from the striatum).<span style="mso-spacerun: yes">&nbsp;
  </span>If Ctbp2 contains variants that modulate its own expression then these
  expression differences may produce many downstream effects. Of course, we now
  want to know much more about the known biology of Ctbp2. What kind of gene is
  it? To begin to answer that question we can use a number of resources listed
  in the LINKS page.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font face=Verdana
  size=2> The App QTL is bimodal. Perhaps there are actually two causal factors
  in this region--one close to 123 Mb and the other close to 127 Mb.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. The precision of QTL
  mapping depends on several factors, including the effect size and
  interactions among QTLs modulating a trait, the number of genetic individuals
  that are studied, and the distribution of recombinations in the study
  population.<span style="mso-spacerun: yes">&nbsp; </span>In the case above,
  the QTL(s) are likely to be confined to the interval from 120 to 132 Mb. The
  bootstrap test (yellow bars shown in some of the previous slides) can be
  usual for estimating the consistency of QTL peaks.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
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style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:0%;left:1.72%;width:101.05%;height:8.65%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0;position:absolute;top:18.36%;left:.91%;width:97.9%;
height:75.51%'><span style='font-family:Verdana;font-size:64%'>Evaluating </span><span
style='font-family:Verdana;font-size:64%'><i>Ctbp2</i></span><span
style='font-family:Verdana;font-size:64%'> using other resources</span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

</div>

<img border=0 src="slide0011_image087.png" style='position:absolute;top:10.07%;
left:1.72%;width:48.21%;height:53.35%'><img border=0
src="slide0011_image088.png" style='position:absolute;top:40.81%;left:19.2%;
width:78.54%;height:54.77%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Ctbp2 should also be
  considered a high priority biological candidate gene responsible for
  modulating App expression levels. The C-terminal binding protein 2 is a
  transcriptional co-repressor also known as Ribeye.</font><font
  face=Times-Roman size=3> The gene produces two transcripts encoding distinct
  proteins. The short form is a transcriptional repressor that binds a
  Pro-X-Asp-Leu-Ser peptide motif and interacts with several transcription
  factors including EVI1, ZFPM1, and ZFHX1A (aka TCF8, deltaEF1). The longer
  isoform is a major component of specialized synapses in photoreceptors. Both
  proteins contain a NAD+ binding domain similar to NAD+-dependent
  2-hydroxyacid dehydrogenases.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>1. To find out more about
  CTBP2 protein and the Ctbp2 gene, link to iHOP at
  http://www.pdg.cnb.uam.es/UniPub/iHOP/ and type in CTBP2</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>Try Arrowsmith at
  http://arrowsmith.psych.uic.edu/cgi-test/arrowsmith_uic/pubsmith.cgi</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>2. Both APP and CTBP2 are
  involved in oxidoreducatase activity or Notch signaling. To establish this
  common gene ontology visit NCBI<span style="mso-spacerun: yes">&nbsp;
  </span>http://www.ncbi.nih.gov/entrez/query.fcgi?db=gene and enter each gene
  symbol.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=3>3. You can get interesting
  hints regarding Ctbp2 expression partners by examining the genetic
  correlations between Ctbp2 probe set 1422887_a_at and all other transcripts
  on the M430 Affymetrix array. Use the Striatum data set because we already
  know from previous work (the previous slide) that this gene is a cis
  QTL.<span style="mso-spacerun: yes">&nbsp; </span>You should be able to show
  that Ctbp2 and Notch3 have antagonistic expression patterns in striatum. The
  negative genetic correlation with E2f4 is even stronger. The transcript also
  has a high positive genetic correlation with Rdh14. Of particular interest
  with respect to APP protein processing, Ctbp2 covaries positively with Bace2
  (the transcript of the beta site APP-cleaving enzyme 2).</font><br>
  </td>
 </tr>
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  </td>
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  </td>
 </tr>
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</div>

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<head>
<meta name=ProgId content=PowerPoint.Slide>
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<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2.ppt.ppt">
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  <td align=left colspan=1><font face=Verdana size=2>Ctbp2 should also be
  considered a high priority biological candidate gene responsible for
  modulating App expression levels. The C-terminal binding protein 2 is a
  transcriptional co-repressor also known as Ribeye.</font><font
  face=Times-Roman size=2> The gene produces two transcripts encoding distinct
  proteins. The short form is a transcriptional repressor that binds a
  Pro-X-Asp-Leu-Ser peptide motif and interacts with several transcription
  factors including EVI1, ZFPM1, and ZFHX1A (aka TCF8, deltaEF1). The longer
  isoform is a major component of specialized synapses in photoreceptors. Both
  proteins contain a NAD+ binding domain similar to NAD+-dependent
  2-hydroxyacid dehydrogenases.</font><br>
  </td>
 </tr>
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  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
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  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>1. To find out more about
  CTBP2 protein and the Ctbp2 gene, link to iHOP at
  http://www.pdg.cnb.uam.es/UniPub/iHOP/ and type in CTBP2</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Try Arrowsmith at
  http://arrowsmith.psych.uic.edu/cgi-test/arrowsmith_uic/pubsmith.cgi</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. Both APP and CTBP2 are
  involved in oxidoreducatase activity or Notch signaling. To establish this
  common gene ontology visit NCBI<span style="mso-spacerun: yes">&nbsp;
  </span>http://www.ncbi.nih.gov/entrez/query.fcgi?db=gene and enter each gene
  symbol.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3. You can get interesting
  hints regarding Ctbp2 expression partners by examining the genetic
  correlations between Ctbp2 probe set 1422887_a_at and all other transcripts
  on the M430 Affymetrix array. Use the Striatum data set because we already
  know from previous work (the previous slide) that this gene is a cis
  QTL.<span style="mso-spacerun: yes">&nbsp; </span>You should be able to show
  that Ctbp2 and Notch3 have antagonistic expression patterns in striatum. The
  negative genetic correlation with E2f4 is even stronger. The transcript also
  has a high positive genetic correlation with Rdh14. Of particular interest
  with respect to APP protein processing, Ctbp2 covaries positively with Bace2
  (the transcript of the beta site APP-cleaving enzyme 2).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
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  <td align=left colspan=1><br>
  </td>
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<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
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href="webqtl_demo2.ppt.ppt">
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<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:-.35%;left:3.31%;width:93.64%;height:14.48%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:292;
mso-text-indent-alt:0;position:absolute;top:0%;left:1.13%;width:97.59%;
height:51.21%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Summary of Part 2</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

<div style='position:absolute;top:15.01%;left:5.96%;width:101.19%;height:31.09%'>

<div class=O1 style='mso-margin-left-alt:432'></div>

<div class=O2 style='mso-margin-left-alt:720'></div>

<div class=O3 style='mso-margin-left-alt:1008'></div>

<div class=O4 style='mso-margin-left-alt:1296'></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:0%;
left:0%;width:86.25%;height:14.2%'><span style='position:absolute;top:0%;
left:2.88%;width:97.11%'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.96%;font-family:Arial'>1.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Covered the basics of QTL
analysis and mapping.<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:14.2%;
left:0%;width:86.25%;height:14.2%'><span style='position:absolute;top:0%;
left:2.88%;width:97.11%'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.96%;font-family:Arial'>2.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Reviewed difference between
genetic and physical maps.<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:28.4%;
left:0%;width:100.0%;height:42.61%'><span style='position:absolute;top:0%;
left:2.48%;width:97.51%'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.55%;font-family:Arial'>3.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Discussed interpreting features
of QTL maps including the LRS function, </span></span><span style='position:
absolute;top:33.33%;left:2.48%;width:91.23%'><span style='font-family:"Gill Sans";
font-size:167%;color:#E9EB5D;mso-color-index:3'>the additive effect function,
the bootstrap bars, and the permutation </span></span><span style='position:
absolute;top:68.0%;left:2.48%;width:83.76%'><span style='font-family:"Gill Sans";
font-size:167%;color:#E9EB5D;mso-color-index:3'>thresholds.<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:71.59%;
left:0%;width:88.35%;height:14.2%'><span style='position:absolute;top:0%;
left:2.81%;width:97.18%'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.89%;font-family:Arial'>4.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Illustrated techniques to
generate a list of positional candidates.<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:85.79%;
left:0%;width:86.25%;height:14.2%'><span style='position:absolute;top:0%;
left:2.88%;width:97.11%'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.96%;font-family:Arial'>5.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Discussed some factors used to
evaluate candidate genes.</span></span></div>

</div>

<div class=O style='position:absolute;top:58.65%;left:5.96%;width:106.22%;
height:22.26%'><span style='position:absolute;top:0%;left:0%;width:84.53%'><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'>What does a QTL signify? A good QTL is a claim that a particular </span></span><span
style='position:absolute;top:19.84%;left:0%;width:96.38%'><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'>chromosomal region contains a causal source of variation in the phenotype. </span></span><span
style='position:absolute;top:39.68%;left:0%;width:100.0%'><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'>The importance of this hypothesis depends on the quality and relevance of
the </span></span><span style='position:absolute;top:59.52%;left:0%;width:90.89%'><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'>phenotype and the statistical strength of the QTL. As usual, test and be </span></span><span
style='position:absolute;top:79.36%;left:0%;width:84.53%'><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'>skeptical.</span></span></div>

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<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
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  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>By clicking on the
  CORRELATION of the Atcay transcript to the App transcript, you can generate a
  Correlation plot between these two transcripts. In this App and Atcay
  scatterplot, each point is a strain mean value. For example, BXD33 and BXD8
  have low App and Atcay expressions. The two parental strains and the F1 are
  also included in this plot.</font><br>
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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2.ppt.ppt">
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<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:0%;left:1.72%;width:101.05%;height:8.65%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0;position:absolute;top:18.36%;left:.91%;width:97.9%;
height:75.51%'><span style='font-family:Verdana;font-size:64%'>Test Questions</span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

</div>

<div class=O style='position:absolute;top:11.83%;left:4.37%;width:108.34%;
height:6.53%'><span style='font-size:233%;color:#E9EB5D'>1. Evaluate candidates
for the Chr 3 </span><span style='font-size:233%;color:#E9EB5D'><i>App</i></span><span
style='font-size:233%;color:#E9EB5D'> QTL.</span><span style='font-size:233%;
color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

<div class=O style='position:absolute;top:24.02%;left:4.9%;width:100.92%;
height:12.72%'><span style='position:absolute;top:0%;left:0%;width:100.0%'><span
style='font-size:233%;color:#E9EB5D'>2. Do </span><span style='font-size:233%;
color:#E9EB5D'><i>App</i></span><span style='font-size:233%;color:#E9EB5D'> and
</span><span style='font-size:233%;color:#E9EB5D'><i>Ctbp2</i></span><span
style='font-size:233%;color:#E9EB5D'> expression share any </span></span><span
style='position:absolute;top:50.0%;left:0%;width:93.43%'><span
style='font-size:233%;color:#E9EB5D'>other QTLs beside that on Chr 7?</span><span
style='font-size:233%;color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></div>

<div class=O style='position:absolute;top:43.99%;left:4.9%;width:102.91%;
height:19.08%'><span style='position:absolute;top:0%;left:0%;width:100.0%'><span
style='font-size:233%;color:#E9EB5D'>3. Can you exploit literature mining tools
to </span></span><span style='position:absolute;top:33.33%;left:0%;width:98.45%'><span
style='font-size:233%;color:#E9EB5D'>find a strong relationship between </span><span
style='font-size:233%;color:#E9EB5D'><i>App</i></span><span style='font-size:
233%;color:#E9EB5D'> and </span></span><span style='position:absolute;
top:65.74%;left:0%;width:91.63%'><span style='font-size:233%;color:#E9EB5D'><i>Ctbp2</i></span><span
style='font-size:233%;color:#E9EB5D'>? </span><span style='font-size:233%;
color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></div>

<div class=O style='position:absolute;top:69.08%;left:4.9%;width:110.19%;
height:12.72%'><span style='position:absolute;top:0%;left:0%;width:100.0%'><span
style='font-size:233%;color:#E9EB5D'>4. Why might the cis QTL for </span><span
style='font-size:233%;color:#E9EB5D'><i>Ctbp2</i></span><span style='font-size:
233%;color:#E9EB5D'> expression </span></span><span style='position:absolute;
top:50.0%;left:0%;width:89.66%'><span style='font-size:233%;color:#E9EB5D'>only
be detected in the striatum data set?</span><span style='font-size:233%;
color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></div>

</div>

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<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
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  <td align=left colspan=1><font face=Helvetica size=2>A group of traits from
  many different databases can be selected and brought together for joint
  analysis. In this case all of the content of the BXD SELECTIONS is from a
  single BRAIN database, the top 20 neighbors of the App transcript from the
  Correlation Results table. Eight of these neighbors plus App is shown in the
  slide.</font><br>
  </td>
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  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
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  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font
  face=Helvetica size=2>All of items in the BXD SELECTIONS were selected using
  the SELECT ALL button</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. The buttons at the
  top (and bottom) of this page can do some cool stuff. We will work with
  NETWORK GRAPH first.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>3. Think of the
  SELECTIONS as your shopping cart. You go to different aisles in the
  supermarket to acquire different types of items of interest. These could
  include transcripts, classical phenotypes (longevity, brain weight, prepulse
  inhibition, iron levels in midbrain). ÒChecking outÓ in this case involves
  doing some analysis with the items in the cart.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>4. Different tools
  handle different numbers of items. Most will handle up to 100 traits.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</body>

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left:1.46%;width:97.35%;height:100.0%'><span style='position:absolute;
top:0%;left:0%;width:100.0%'><span style='font-size:82%'>rwilliam@nb.utmem.edu<br>
</span></span><span
style='position:absolute;top:34.05%;left:4.67%;width:95.47%'><span
style='font-size:82%'><br>
</span></span><span style='position:absolute;
top:68.11%;left:4.67%;width:95.47%'><span style='font-size:82%;mso-special-format:
lastCR;display:none'><br>
</span></span></div>

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<div class=O style='position:absolute;top:27.56%;left:9.4%;width:50.59%;
height:7.77%'><span style='font-family:"Gill Sans";font-size:300%;color:#E9EB5D'>kmanly@utmem.edu</span></div>

<div class=O style='position:absolute;top:83.56%;left:4.37%;width:108.34%;
height:15.9%'><span style='position:absolute;top:0%;left:0%;width:90.83%'><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D'>The </span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D'><i>App</i></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D'> findings reviewed
in this presentation are part of an </span></span><span style='position:absolute;
top:33.33%;left:0%;width:100.0%'><span style='font-family:"Gill Sans";
font-size:200%;color:#E9EB5D'>ongoing study by R. Williams. R. Homayouni, and
R. Clark (July 15, </span></span><span style='position:absolute;top:66.66%;
left:0%;width:84.35%'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D'>2005)</span><span style='font-family:"Gill Sans";font-size:300%;
color:#E9EB5D;mso-special-format:lastCR;display:none'><br>
</span></span></div>

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<head>
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<div style='text-align:left;font-family:"Gill Sans";font-weight:normal;
font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
mso-fareast-hint:no;layout-flow:horizontal;color:#E9EB5D;font-size:293%;
mso-text-raise:0%;mso-line-spacing:"-277 0 -1";mso-margin-left-alt:232;
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color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
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  <tr>
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   <td align=left colspan=1><font face=Helvetica size=3>Part 2: Discovering
   upstream modulators and quantitative trait loci (QTLs). A quantitative trait
   locus is a chromosomal region that harbors one or a few polymorphic gene
   loci that influence a trait. We are going to be looking for QTLs that
   modulate the steady state expression level of App in the adult mouse
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  <td align=left colspan=1><font face=Helvetica size=2>Going back to the Trait
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  traits (four are selected) to our BXD SELECTIONS window.</font><br>
  </td>
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</layer><script>
-	mytop = 0.35 * g_height; myleft = 0.57 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.57 * g_width;
-yy = 0.35 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0002_image010.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.35 * g_height; myleft = 0.74 * g_width; myheight = 0.03 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.74 * g_width;
-yy = 0.35 * g_height;
-ht = 0.03 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0002_image011.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.42 * g_height; myleft = 0.05 * g_width; myheight = 0.12 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0.01 * g_width; myheight = 0.1 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:200%;color:#FFFF99'><b>F1<br>
</b></span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:200%;color:#FFFF99;mso-special-format:
lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.39 * g_height; myleft = 0.22 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.22 * g_width;
-yy = 0.39 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image012.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.39 * g_height; myleft = 0.38 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.38 * g_width;
-yy = 0.39 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image013.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.39 * g_height; myleft = 0.55 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.55 * g_width;
-yy = 0.39 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image014.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.39 * g_height; myleft = 0.72 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.72 * g_width;
-yy = 0.39 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image015.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.43 * g_height; myleft = 0.43 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.43 * g_width;
-yy = 0.43 * g_height;
-ht = 0.03 * g_height;
-wd = 0.11 * g_width;
-document.write(
-'<img border=0 src="slide0002_image016.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.6 * g_height; myleft = 0.2 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.2 * g_width;
-yy = 0.6 * g_height;
-ht = 0.03 * g_height;
-wd = 0.09 * g_width;
-document.write(
-'<img border=0 src="slide0002_image017.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.71 * g_height; myleft = 0.58 * g_width; myheight = 0.26 * g_height; mywidth = 0.2 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.03 * g_height; myleft = 0.01 * g_width; myheight = 0.22 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.15 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:center'><span style='font-family:Arial;font-size:117%;
color:#FFFF99'><b>20 generations </b></span></span></layer><script>
-	mytop = 0.06 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:center'><span style='font-family:Arial;font-size:117%;
color:#FFFF99'><b>brother-sister </b></span></span></layer><script>
-	mytop = 0.12 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:center'><span style='font-family:Arial;font-size:117%;
color:#FFFF99'><b>matings</b></span><span style='font-family:Arial;font-size:
233%;color:#FFFF99;display:none'><b><br>
</b></span></span></layer></div>

</layer><script>
-	mytop = 0.16 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:233%;
color:#FFFF99;mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.6 * g_height; myleft = 0.5 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.5 * g_width;
-yy = 0.6 * g_height;
-ht = 0.03 * g_height;
-wd = 0.09 * g_width;
-document.write(
-'<img border=0 src="slide0002_image018.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.62 * g_height; myleft = 0.54 * g_width; myheight = 0.28 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.54 * g_width;
-yy = 0.62 * g_height;
-ht = 0.28 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image019.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.61 * g_height; myleft = 0.79 * g_width; myheight = 0.03 * g_height; mywidth = 0.1 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.79 * g_width;
-yy = 0.61 * g_height;
-ht = 0.03 * g_height;
-wd = 0.1 * g_width;
-document.write(
-'<img border=0 src="slide0002_image020.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.62 * g_height; myleft = 0.83 * g_width; myheight = 0.28 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.83 * g_width;
-yy = 0.62 * g_height;
-ht = 0.28 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image021.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.92 * g_height; myleft = 0.21 * g_width; myheight = 0.09 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.07 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>BXD1</span><span
style='font-family:Arial;font-size:150%;color:#484848;display:none'><br>
</span></div>

</layer><script>
-	mytop = 0.04 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#484848;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.92 * g_height; myleft = 0.51 * g_width; myheight = 0.09 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.07 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>BXD2<br>
</span></div>

</layer><script>
-	mytop = 0.04 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.92 * g_height; myleft = 0.8 * g_width; myheight = 0.05 * g_height; mywidth = 0.1 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%;mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>BXD80</span></div>

</layer></div>

</layer><script>
-	mytop = 0.9 * g_height; myleft = 0.64 * g_width; myheight = 0.17 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0.01 * g_width; myheight = 0.15 * g_height; mywidth = 0.16 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.07 * g_height; mywidth = 0.16 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-341 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:300%;color:#FFFF99'>+ É +<br>
</span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0 * g_width; myheight = 0.07 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-341 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:300%;color:#FFFF99;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.62 * g_height; myleft = 0.04 * g_width; myheight = 0.12 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.1 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:200%;color:#FFFF99'><b>F2<br>
</b></span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:200%;color:#FFFF99;mso-special-format:
lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.18 * g_width; myheight = 0.01 * g_height; mywidth = 0.75 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.18 * g_width;
-yy = 0.54 * g_height;
-ht = 0.01 * g_height;
-wd = 0.75 * g_width;
-document.write(
-'<img border=0 src="slide0002_image022.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.17 * g_width; myheight = 0.03 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.17 * g_width;
-yy = 0.54 * g_height;
-ht = 0.03 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0002_image023.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.32 * g_width; myheight = 0.03 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.32 * g_width;
-yy = 0.54 * g_height;
-ht = 0.03 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0002_image024.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.48 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.48 * g_width;
-yy = 0.54 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0002_image025.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.62 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.62 * g_width;
-yy = 0.54 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0002_image026.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.77 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.77 * g_width;
-yy = 0.54 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0002_image027.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.92 * g_width; myheight = 0.03 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.92 * g_width;
-yy = 0.54 * g_height;
-ht = 0.03 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0002_image028.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.44 * g_height; myleft = 0.49 * g_width; myheight = 0.1 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.49 * g_width;
-yy = 0.44 * g_height;
-ht = 0.1 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0002_image029.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.15 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.15 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image030.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.3 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.3 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image031.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.46 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.46 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image032.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.6 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.6 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image033.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.75 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.75 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image034.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.9 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.9 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0002_image035.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.84 * g_height; myleft = 0.56 * g_width; myheight = 0.01 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.56 * g_width;
-yy = 0.84 * g_height;
-ht = 0.01 * g_height;
-wd = 0.01 * g_width;
-document.write(
-'<img border=0 src="slide0002_image036.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.8 * g_height; myleft = 0.25 * g_width; myheight = 0.11 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.25 * g_width;
-yy = 0.8 * g_height;
-ht = 0.11 * g_height;
-wd = 0.01 * g_width;
-document.write(
-'<img border=0 src="slide0002_image037.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.84 * g_height; myleft = 0.86 * g_width; myheight = 0.02 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.86 * g_width;
-yy = 0.84 * g_height;
-ht = 0.02 * g_height;
-wd = 0.01 * g_width;
-document.write(
-'<img border=0 src="slide0002_image038.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.75 * g_height; myleft = 0.01 * g_width; myheight = 0.13 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0 * g_width; myheight = 0.11 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'><b>BXD RI<br>
</b></span></div>

</layer><script>
-	mytop = 0.03 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'><b>Strain set<br>
</b></span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0.01 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99;mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.12 * g_height; myleft = 0.14 * g_width; myheight = 0.06 * g_height; mywidth = 0.1 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.14 * g_width;
-yy = 0.12 * g_height;
-ht = 0.06 * g_height;
-wd = 0.1 * g_width;
-document.write(
-'<img border=0 src="slide0002_image039.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.1 * g_height; myleft = 0.76 * g_width; myheight = 0.08 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.76 * g_width;
-yy = 0.1 * g_height;
-ht = 0.08 * g_height;
-wd = 0.14 * g_width;
-document.write(
-'<img border=0 src="slide0002_image040.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.2 * g_height; myleft = 0.17 * g_width; myheight = 0.13 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0 * g_width; myheight = 0.11 * g_height; mywidth = 0.08 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>fully<br>
</span></div>

</layer><script>
-	mytop = 0.03 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.08 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>inbred<br>
</span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99;mso-special-format:lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.38 * g_height; myleft = 0.02 * g_width; myheight = 0.09 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.07 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>isogenic<br>
</span></div>

</layer><script>
-	mytop = 0.04 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99;mso-special-format:lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.01 * g_width; myheight = 0.13 * g_height; mywidth = 0.12 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0 * g_width; myheight = 0.11 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>hetero-<br>
</span></div>

</layer><script>
-	mytop = 0.03 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>geneous<br>
</span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99;mso-special-format:lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.74 * g_height; myleft = 0.29 * g_width; myheight = 0.21 * g_height; mywidth = 0.21 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.19 * g_height; mywidth = 0.19 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.15 * g_height; mywidth = 0.19 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.19 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:center'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>Recombined </span></span></layer><script>
-	mytop = 0.04 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.19 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:center'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>chromosomes </span></span></layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.19 * g_width;
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style='text-align:center'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>are needed for </span></span></layer><script>
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style='text-align:center'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>mapping<br>
</span></span></layer></div>

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<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99;mso-special-format:lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>female<br>
</span></div>

</layer><script>
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:117%;color:#FFFF99'>chromosome
pair</span><span style='font-family:Arial;font-size:150%;color:#FFFF99;
display:none'><br>
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

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<div><script language=JavaScript><!--

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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
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<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
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<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
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<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
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<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:117%;
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</span></div>

</layer></div>

</layer></div>

</layer><script>
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<div><script language=JavaScript><!--

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<div><script language=JavaScript><!--

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<div><script language=JavaScript><!--

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<div><script language=JavaScript><!--

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<div><script language=JavaScript><!--

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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%;mso-line-spacing:"-341 0 0";mso-margin-left-alt:17;
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mso-text-indent-alt:17'><span style='font-family:Arial;font-size:300%;
color:aqua'>B</span><span style='font-family:Arial;font-size:300%;color:#FFFF99'>X</span><span
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<div><script language=JavaScript><!--

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<div><script language=JavaScript><!--

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<div><script language=JavaScript><!--

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</LAYER>

-

<layer>
 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
  <tr>
   <td width=5 nowrap></td>
   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The next few slides
   provide a short introduction to mapping the loci that are responsible for
   variation in a trait such as App expression level. These modulatory regions
   of the genome are sometimes called quantitative trait loci or QTLs. You may
   want to do some independent reading on this topic if this is your first
   exposure to QTL analysis.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The genetic reference
   population (GRP) of BXD recombinant inbred strains were originally generated
   about 25 years ago by Benjamin Taylor at The Jackson Laboratory. He crossed
   female C57BL/6J mice with male DBA/2J mice to generate the F1 and F2
   progeny. At the bottom of this slide we have schematized one chromosome pair
   from three of the BXD RI strains.<span style="mso-spacerun: yes">&nbsp;
   </span>The dashed vertical lines that lead to the final BXD RI lines involve
   21 full sib matings (about 7 years of breeding). Some lines die out during
   inbreeding. For example, there is no longer any BXD3 strain.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>1. Over the last decade,
   our group (Lu Lu and Rob Williams) and Jeremy Peirce and Lee Silver at
   Princeton have enlarged Ben TaylorÕs set. There are now just over 80 BXD
   strains. They have all been genotyped using about 13,700 markers (SNPs and
   microsatellites). These markers are used to define the ÒblueÓ and ÒredÓ
   regions of the chromosomes as shown in the figure above.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. Chromosomes of RI GRPs
   usually have about 4 times as many recombinations as those of F2 animals.
   However, unlike an F2, both chromosomes of an RI are identical. Therefore,
   50 RI strains contain as many recombinations as 100 F2 animals.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3. BXD43 through BXD100
   were generated using a special method that resulted in a further doubling of
   the average recombination density per chromosome. The entire set of 80 BXDs
   therefore contains as many recombinations as about 260 F2 animals.</font><br>
   </td>
  </tr>
 </table>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0016_image036.png b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0016_image036.png
deleted file mode 100755
index baa1d807..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0016_image036.png
+++ /dev/null
Binary files differdiff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0016_notes_pane.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0016_notes_pane.htm
deleted file mode 100755
index f5776dad..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0016_notes_pane.htm
+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>We have computed the
  Network Graph, now using other types of traits.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Saline Hot Plate Latency
  is the green node labeled 10020.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Freezing (fear) is the
  green node labeled 10447.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
</table>

</body>

</html>
\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0017.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0017.htm
deleted file mode 100755
index cc8ff93a..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0017.htm
+++ /dev/null
@@ -1,421 +0,0 @@
-<html>

<head>
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<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2.ppt.ppt">
<script>
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<body onresize="restore()" onload="DoOnLoad()" style='font-size:&{font_size()};'
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<div><script language=JavaScript><!--

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<div style='mso-line-spacing:"-126 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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</layer><script>
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<div style='mso-line-spacing:"-126 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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lastCR;display:none'><br>
</span></div>

</layer></div>

</layer><script>
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<div><script language=JavaScript><!--

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</layer><script>
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-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.04 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-126 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Gadget;font-size:150%;color:white'>aaaa<br>
</span></div>

</layer><script>
-	mytop = 0.03 * g_height; myleft = 0 * g_width; myheight = 0.04 * g_height; mywidth = 0.11 * g_width;
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<div style='mso-line-spacing:"-126 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Gadget;font-size:150%;color:white;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer><script>
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<div><script>
-	mytop = 0.01 * g_height; myleft = 0.01 * g_width; myheight = 0.16 * g_height; mywidth = 0.24 * g_width;
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.07 * g_height; mywidth = 0.24 * g_width;
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<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-size:267%;color:#E2EBF0'>D2 strain</span><span
style='font-family:Palatino;font-size:333%;color:#FBFDB8;display:none'><br>
</span></div>

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<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-family:Palatino;font-size:333%;color:#FBFDB8;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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-</script>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-size:267%;color:#F6BF69'>B6 strain</span><span
style='font-family:Palatino;font-size:333%;color:#F6BF69;display:none'><br>
</span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.21 * g_width;
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-</script>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-family:Palatino;font-size:333%;color:#F6BF69;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.17 * g_height; myleft = 0.31 * g_width; myheight = 0.42 * g_height; mywidth = 0.01 * g_width;
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<div><script language=JavaScript><!--

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</layer><script>
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<div><script language=JavaScript><!--

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</layer><script>
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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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<div style='mso-line-spacing:"-320 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><script>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'><i>amount of
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'><i>transcript</i></span><span
style='font-family:Palatino;font-size:367%;color:#E9EB5D;display:none'><br>
</span></span></layer></div>

</layer><script>
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<div style='mso-line-spacing:"-422 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-family:Palatino;font-size:367%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.06 * g_height; myleft = 0.72 * g_width; myheight = 0.19 * g_height; mywidth = 0.21 * g_width;
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-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0.01 * g_width; myheight = 0.16 * g_height; mywidth = 0.18 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.07 * g_height; mywidth = 0.18 * g_width;
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<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-size:267%;color:white'>4 </span><span style='font-size:
233%;color:white'>units</span><span style='font-family:Palatino;font-size:333%;
color:#E9EB5D;display:none'><br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.18 * g_width;
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-</script>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-family:Palatino;font-size:333%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.29 * g_height; myleft = 0.72 * g_width; myheight = 0.19 * g_height; mywidth = 0.21 * g_width;
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-</script>

<div><script>
-	mytop = 0.02 * g_height; myleft = 0.01 * g_width; myheight = 0.16 * g_height; mywidth = 0.18 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.07 * g_height; mywidth = 0.18 * g_width;
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<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-size:267%;color:white'>2</span><span style='font-size:
233%;color:white'> units</span><span style='font-family:Palatino;font-size:
333%;color:#E9EB5D;display:none'><br>
</span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.18 * g_width;
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-</script>

<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-family:Palatino;font-size:333%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.15 * g_height; myleft = 0.31 * g_width; myheight = 0.05 * g_height; mywidth = 0.4 * g_width;
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<div><script language=JavaScript><!--

-xx = 0.31 * g_width;
-yy = 0.15 * g_height;
-ht = 0.05 * g_height;
-wd = 0.4 * g_width;
-document.write(
-'<img border=0 src="slide0003_image058.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.17 * g_height; myleft = 0.09 * g_width; myheight = 0.16 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#E2EBF0'>D<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#E2EBF0;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer><script>
-	mytop = 0.17 * g_height; myleft = 0.17 * g_width; myheight = 0.16 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#F6BF69'>B<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#F6BF69;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer><script>
-	mytop = 0.79 * g_height; myleft = 0.05 * g_width; myheight = 0.13 * g_height; mywidth = 1.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.12 * g_height; mywidth = 1.02 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%;mso-line-spacing:"-256 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;mso-line-spacing:"-256 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 1.02 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:left'><span style='font-size:233%;color:#E2EBF0'>D</span><span
style='font-size:233%;color:#E9EB5D'> </span><span style='font-size:200%;
color:#E9EB5D'>and </span><span style='font-size:233%;color:#F6BF69'>B</span><span
style='font-size:233%;color:#E9EB5D'> </span><span style='font-size:200%;
color:#E9EB5D'>may be SNP-like variants in the promoter </span></span></layer><script>
-	mytop = 0.04 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 1.02 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:left'><span style='font-size:200%;color:#E9EB5D'>itself (cis
QTL) or in </span><span style='font-size:200%;color:#EAEC5E'>upstream genes
(trans QTLs)</span><span style='font-size:300%;color:#E9EB5D'>.</span></span></layer></div>

</layer></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0.04 * g_width; myheight = 0.16 * g_height; mywidth = 0.22 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.22 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-233 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-size:200%;color:#E9EB5D'>UPSTREAM<br>
</span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.22 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-233 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-size:200%;color:#E9EB5D'>modulators<br>
</span></div>

</layer><script>
-	mytop = 0.1 * g_height; myleft = 0.01 * g_width; myheight = 0.05 * g_height; mywidth = 0.2 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-233 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-size:200%;color:#E9EB5D;
mso-special-format:lastCR;display:none'><br>
</span></div>

</layer></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0.44 * g_width; myheight = 0.17 * g_height; mywidth = 0.16 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.16 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-size:300%;color:#E2EBF0'>High<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-size:300%;color:#E2EBF0;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.63 * g_height; myleft = 0.08 * g_width; myheight = 0.17 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.16 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#E2EBF0'>D<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#E2EBF0;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.63 * g_height; myleft = 0.15 * g_width; myheight = 0.17 * g_height; mywidth = 0.05 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.16 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#F6BF69'>B<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#F6BF69;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.71 * g_height; myleft = 0.07 * g_width; myheight = 0.12 * g_height; mywidth = 0.16 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.1 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-233 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:200%;color:#E9EB5D'><i>cis QTL</i></span><span
style='font-size:200%;color:#E9EB5D;display:none'><br>
</span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.12 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-233 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:200%;color:#E9EB5D;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = -0.01 * g_width; myheight = 0.07 * g_height; mywidth = 1.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = -0.01 * g_width;
-yy = 0.57 * g_height;
-ht = 0.07 * g_height;
-wd = 1.01 * g_width;
-document.write(
-'<img border=0 src="slide0003_image059.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.44 * g_height; myleft = 0.47 * g_width; myheight = 0.12 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-272 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:233%;color:#F6BF69'>Low<br>
</span></div>

</layer><script>
-	mytop = 0.06 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-272 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:233%;color:#F6BF69;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer><script>
-	mytop = 0.58 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 1.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.04 * g_height; mywidth = 1.12 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%;mso-line-spacing:"-200 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;mso-line-spacing:"-200 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17'><span style='font-family:Gadget;font-size:167%;
color:white'>&gt;&gt;&gt;&gt;PROMOTER--ATG-Exon1-Intron1-Exon2-Intron2 -
etc-3'UTR &gt;&gt;&gt;&gt;&gt;</span></div>

</layer></div>

</layer><script>
-	mytop = 0.37 * g_height; myleft = 0.08 * g_width; myheight = 0.2 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.08 * g_width;
-yy = 0.37 * g_height;
-ht = 0.2 * g_height;
-wd = 0.13 * g_width;
-document.write(
-'<img border=0 src="slide0003_image060.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.4 * g_height; myleft = 0.1 * g_width; myheight = 0.11 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:"\30D2\30E9\30AE\30CE\89D2\30B4 Pro W3";
font-size:233%;color:white'><b>&#4;</b></span><span style='font-family:Palatino;
font-size:233%;color:white;display:none'><b><br>
</b></span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Palatino;font-size:233%;
color:white;mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer><script>
-	mytop = 0.4 * g_height; myleft = 0.18 * g_width; myheight = 0.11 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:"\30D2\30E9\30AE\30CE\89D2\30B4 Pro W3";
font-size:233%;color:white'><b>&#4;</b></span><span style='font-family:Palatino;
font-size:233%;color:white;display:none'><b><br>
</b></span></div>

</layer><script>
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   <td align=left colspan=1><font face=Helvetica size=3>This slide is
   illustrates two major types of QTLs that modulate variability in
   transcript-relative steady state abundance.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>1. cis QTLs are defined
   as QTLs that are closely linked to the gene whose transcript is the measured
   trait. For example, a polymorphism in the promoter that affects binding of a
   transcription factor. However, cis QTLs can be far upstream or downstream polymorphisms
   in enhancers or may be in 3Õ UTR binding sites that affect message
   stability.</font><br>
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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. trans QTLs map far
   enough away from the location of the gene that gives rise to the transcript
   that is being measured so that we can be fairly certain that the QTL is not
   in the gene itself. The most blatant type of trans QTL would be a
   polymorphism in a transcription factor. But in the majority of cases, the
   trans QTLs can be far removed in a mechanistic sense from the actual events
   modulating transcript abundance. That is why there are three overlapping
   arrows in the figure.<span style="mso-spacerun: yes">&nbsp; </span>The way
   in which an upstream polymorphism influences a downstream difference in mRNA
   abundance can be indirect. Effects can:</font><br>
   </td>
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   <td align=left colspan=1><font face=Helvetica size=3><span
   style="mso-spacerun: yes">&nbsp;&nbsp; </span>a.<span style="mso-spacerun:
   yes">&nbsp; </span>cross tissue types (a polymorphic liver enzyme may affect
   CNS gene expression)</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3><span
   style="mso-spacerun: yes">&nbsp;&nbsp; </span>b.<span style="mso-spacerun:
   yes">&nbsp; </span>cross time (the modulator is only expressed for one day
   during development but has permanent effects in adults)</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3><span
   style="mso-spacerun: yes">&nbsp;&nbsp; </span>c.<span style="mso-spacerun:
   yes">&nbsp; </span>may be contingent on environmental factors (heat shock
   may trigger the expression of a polymorphic factor that affects mRNA
   abundance).</font><br>
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style='font-family:Verdana;font-size:64%'>Discovering upstream modulatory loci</span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

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   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Please bring the Trait
   Data and Analysis window to the front and look for the Interval Mapping
   button. Confirm that you are back to the trait amyloid beta precursor
   protein.<span style="mso-spacerun: yes">&nbsp; </span>If so, then just click
   the button.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notice that the default
   for:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Select Chrs (chromosomes)
   is ALL</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Select Mapping Scale is
   set to GENETIC</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Options: Permutation test
   YES<span style="mso-spacerun: yes">&nbsp; </span>(2000 is the default
   number)</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Options: Bootstrap test
   YES (2000 is the default number)</font><br>
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  <td align=left colspan=1><font face=Helvetica size=2>Part 2: Discovering
  upstream modulators and quantitative trait loci (QTLs). A quantitative trait
  locus is a chromosomal region that harbors one or a few polymorphic gene loci
  that influence a trait. We are going to be looking for QTLs that modulate the
  steady state expression level of App in the adult mouse forebrain.</font><br>
  </td>
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</i></span></div>

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  <tr>
   <td width=5 nowrap></td>
   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>This is a major output
   type: a so-called full-genome interval map.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The X-axis represents all
   19 autosomes and the X chromosome as if they were laid end to end with short
   gaps between the telomere of one chromosome and the centromere of the next
   chromosome (mouse chromosomes only have a single long arm and the centromere
   represents the origin of each chromosome for numerical purpose: 0
   centimorgans at almost 0 megabases). The blue labels along the bottom of the
   figure list a subset of the 3795 markers that were used in mapping.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The thick blue wavy line
   running across chromosomes summarizes the strength of association between
   variation in the phenotype (App expression differences) and the two
   genotypes of all markers and the intervals between markers (hence, interval
   mapping).<span style="mso-spacerun: yes">&nbsp; </span>The height of the
   wave (blue Y-axis to the left) provides the likelihood ratio statistic
   (LRS). Divide by 4.61 to convert these values to LOD scores.<span
   style="mso-spacerun: yes">&nbsp; </span>Or you can read them as a
   chi-square-like statistic.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The red line and the red
   axis to the far right provide an estimate of the effect that a QTL has on
   expression of App (this estimate of the so-called additive effect tends to
   be too high). If the red line is below the X-axis then this means that the
   allele inherited from C57BL/6J (B6 or B) at a particular marker is
   associated with higher values. If the red line is above the X-axis then the
   DBA/2J allele (D2 or D) is associated with higher trait values. Multiply the
   additive effect size by 2 to estimate the difference between the set of
   strains that have the B/B genotype and those that have the D/D genotype at a
   specific marker. For example, on distal Chr 7 the red line peaks at a value
   of about 0.2. That means that this region of chromosome 2 is responsible for
   a 0.4 unit expression difference between B/B strains and the D/D strains.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The yellow histogram
   bars: These summarize the results of a whole-genome bootstrap of the trait
   that is performed 1000 times. What is a bootstrap? A bootstrap provides a
   method to evaluate whether results are robust. If we drop out one strain, do
   we still get the same results? When mapping quantitative traits, each strain
   normally gets one equally weighted vote. But using the bootstrap procedure,
   we give each strain a random weighting factor of between 0 and 1.<span
   style="mso-spacerun: yes">&nbsp; </span>We then remap the trait and find THE
   SINGLE BEST LRS VALUE per bootstrap. We do this 1000 times. In this example,
   most bootstrap results cluster on Chr 3 and Chr 7 under the LRS peaks. That
   is somewhat reassuring. But notice that a substantial number of bootstrap
   are scattered around on other chromosomes. About 30% of the bootstrap
   resamples have a peak on Chr 7. That is pretty good, but does makes us
   realize that the sample we are working with is still quite small and
   fragile.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The horizontal dashed
   lines at 10.5 and 17.3 are the likelihood ratio statistic (LRS) values
   associated with the suggestive and significant genome-wide probabilities
   that were established by permutations of phenotypes across genotypes. We
   shuffle randomly 2000 times and obtain a distribution of peak LRS scores to
   generate a null distribution. Five percent of the time, one of these
   permuted data sets will have a peak LRS higher than 17.3. We call that level
   the 0.05 significance threshold for a whole genome scan. The p = 0.67 point
   is the suggestive level, and corresponds to the green dashed line.<span
   style="mso-spacerun: yes">&nbsp; </span>These thresholds are conservative
   for transcripts that have expression variation that is highly heritable. The
   putative or suggestive QTL on Chr 3 is probably more than just suggestive.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>One other point: the
   mapping procedure we use is computationally very fast, but it is relatively
   simple. We are not looking for gene-gene interactions and we are not fitting
   multiple QTLs in combinations. Consider this QTL analysis a first pass that
   will highlight hot spots and warm spots that are worth following up on using
   more sophisticated models.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>CLICKABLE REGIONS:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>1. If you click on the
   Chromosome number then you will generate a new map just for that chromosome.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. If you click on the
   body of the map, say on the blue line, then you will generate a view on a 10
   Mb window of that part of the genome from the UCSC Genome Browser web site.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3. If you click on a
   marker symbol, then you will generate a new Trait data and Analysis window
   with the genotypes loaded into the window just like any other trait. More on
   this in Section 3.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>4. You can drag these
   maps off of the browser window and onto your desktop. They will be saved as
   PNG or PDF files. You can import them into Photoshop or other programs.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>5. There is also an
   option at the bottom of the page to download a 2X higher resolution image of
   this plot for papers and presentations.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>6. You can also download
   the results of the analysis in a text format</font><br>
   </td>
  </tr>
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 <tr>
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  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The next few slides
  provide a short introduction to mapping the loci that are responsible for
  variation in a trait such as App expression level. These modulatory regions
  of the genome are sometimes called quantitative trait loci or QTLs. You may
  want to do some independent reading on this topic if this is your first
  exposure to QTL analysis.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The genetic reference
  population (GRP) of BXD recombinant inbred strains were originally generated
  about 25 years ago by Benjamin Taylor at The Jackson Laboratory. He crossed
  female C57BL/6J mice with male DBA/2J mice to generate the F1 and F2 progeny.
  At the bottom of this slide we have schematized one chromosome pair from
  three of the BXD RI strains.<span style="mso-spacerun: yes">&nbsp; </span>The
  dashed vertical lines that lead to the final BXD RI lines involve 21 full sib
  matings (about 7 years of breeding). Some lines die out during inbreeding.
  For example, there is no longer any BXD3 strain.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>1. Over the last decade,
  our group (Lu Lu and Rob Williams) and Jeremy Peirce and Lee Silver at
  Princeton have enlarged Ben TaylorÕs set. There are now just over 80 BXD
  strains. They have all been genotyped using about 13,700 markers (SNPs and
  microsatellites). These markers are used to define the ÒblueÓ and ÒredÓ
  regions of the chromosomes as shown in the figure above.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. Chromosomes of RI GRPs
  usually have about 4 times as many recombinations as those of F2 animals.
  However, unlike an F2, both chromosomes of an RI are identical. Therefore, 50
  RI strains contain as many recombinations as 100 F2 animals.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3. BXD43 through BXD100
  were generated using a special method that resulted in a further doubling of
  the average recombination density per chromosome. The entire set of 80 BXDs
  therefore contains as many recombinations as about 260 F2 animals.</font><br>
  </td>
 </tr>
</table>

</body>

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
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style='text-align:left'><span style='font-size:117%;color:#E9EB5D'><i>The
difference between genetic and physical scale is analogous to measuring the </i></span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-size:117%;color:#E9EB5D'><i>separation
between New York and Boston in either travel hours or kilometers</i></span><span
style='font-size:150%;color:#E9EB5D'><i>.</i></span><span style='font-size:
167%;color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></layer></div>

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-

<layer>
 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
  <tr>
   <td width=5 nowrap></td>
   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The map on the top has an
   X-axis scale based on frequency of recombinations events between markers (B
   to D transitions, see slide 19 for a color-coded example). These so-called
   genetic maps are scaled in centimorgan (recombinations per 100 gametes). In
   contrast, the physical map shown below the genetic map has an X-axis scale
   based on DNA length measured in nucleotides or base-pairs. Notice the large
   difference between the two maps in the size of Chr 19 (large on the genetic
   scale but small on the physical scale).</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Also notice the large
   difference in the width of the chromosome 7 QTL peak. In mice,
   recombinations occur with higher frequency toward the telomeric side (right
   side) of each chromosome. As a result, genetic maps are stretched out more
   toward the telomere relative to a physical map. The QTL on distal Chr 7 is
   therefore actually more precisely mapped than might appear looking at the
   genetic map.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The physical scale is
   becoming more useful than the genetic scale primarily because many other
   data types can be easily superimposed on a physical map. You will see more
   examples in the next several slides.</font><br>
   </td>
  </tr>
 </table>
 </div>
</layer>

<script language=JavaScript><!--

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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
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<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>This slide is
  illustrates two major types of QTLs that modulate variability in
  transcript-relative steady state abundance.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>1. cis QTLs are defined
  as QTLs that are closely linked to the gene whose transcript is the measured
  trait. For example, a polymorphism in the promoter that affects binding of a
  transcription factor. However, cis QTLs can be far upstream or downstream polymorphisms
  in enhancers or may be in 3Õ UTR binding sites that affect message stability.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. trans QTLs map far
  enough away from the location of the gene that gives rise to the transcript
  that is being measured so that we can be fairly certain that the QTL is not
  in the gene itself. The most blatant type of trans QTL would be a
  polymorphism in a transcription factor. But in the majority of cases, the
  trans QTLs can be far removed in a mechanistic sense from the actual events
  modulating transcript abundance. That is why there are three overlapping
  arrows in the figure.<span style="mso-spacerun: yes">&nbsp; </span>The way in
  which an upstream polymorphism influences a downstream difference in mRNA
  abundance can be indirect. Effects can:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2><span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>a.<span style="mso-spacerun:
  yes">&nbsp; </span>cross tissue types (a polymorphic liver enzyme may affect
  CNS gene expression)</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2><span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>b.<span style="mso-spacerun:
  yes">&nbsp; </span>cross time (the modulator is only expressed for one day
  during development but has permanent effects in adults)</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2><span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>c.<span style="mso-spacerun:
  yes">&nbsp; </span>may be contingent on environmental factors (heat shock may
  trigger the expression of a polymorphic factor that affects mRNA abundance).</font><br>
  </td>
 </tr>
</table>

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font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
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mso-text-indent-alt:0'><span style='font-family:Verdana;font-size:64%'>Physical
map for distal chromosome 7</span><span style='font-family:Verdana;font-size:
73%;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><span style='font-size:167%;color:#E9EB5D'>Distal Chr 7 from
~120 and 132 Mb may modulate</span><span style='font-size:167%;color:#E9EB5D'><i>
App</i></span><span style='font-size:200%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><i><br>
</i></span></div>

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<layer>
 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
  <tr>
   <td width=5 nowrap></td>
   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Physical map of variation
   in App expression in brain on distal Chr 7 (a blow up of the whole-genome
   map on the previous slide).</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Verdana size=3> You can now see that the X-axis is on a physical scale
   of megabases (Mb). The QTL peak is roughly between 120 and 132 Mb.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. The small irregular
   colored blocks and marks toward the top of the map mark the locations of
   genes superimposed on the physical map. Neighboring genes are offset
   slightly in the vertical axis for display purpose. Note one region of very
   high gene density from about 120 to 123 Mb.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3. The orange hash marks
   along the X-axis represent the number of single nucleotide polymorphisms
   that distinguish the two parental strains (C57BL/6J and DBA/2J) from each
   other. We call this the SNP seismograph track (see Glossary for more
   details). Regions with low numbers of SNPs have closely matched sequences
   and are less likely to contain QTLs.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>4. As before, the thin
   red line shows the additive effect size. By convention the positive values
   signify the D alleles are associated with higher expression of App in this
   region of Chr 7 than the B alleles. The maximum effect size is about +0.20
   log2 expression units per D allele. The differences been the BB and DD
   genotypes (BB and DD because each strain has two alleles; one per
   chromosome) is therefore about 2^0.4 = 1.32 or a 32% increment in DD
   relative to BB at this locus.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>5. If you scroll just
   under the Physical Map you will see text that reads ÒDISPLAY from XXX Mb TO
   YYY MbÉ..Ó<span style="mso-spacerun: yes">&nbsp; </span>These physical maps
   are zoomable, a feature we will exploit to evaluate candidate genes in this
   QTL interval.</font><br>
   </td>
  </tr>
 </table>
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<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Please bring the Trait
  Data and Analysis window to the front and look for the Interval Mapping
  button. Confirm that you are back to the trait amyloid beta precursor
  protein.<span style="mso-spacerun: yes">&nbsp; </span>If so, then just click
  the button.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Notice that the default
  for:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Select Chrs (chromosomes)
  is ALL</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Select Mapping Scale is
  set to GENETIC</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Options: Permutation test
  YES<span style="mso-spacerun: yes">&nbsp; </span>(2000 is the default number)</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Options: Bootstrap test
  YES (2000 is the default number)</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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mso-text-raise:0%;mso-line-spacing:"-358 0 -1";mso-line-spacing:"-358 0 -1"'><span
style='font-family:Verdana;font-size:64%'>Evaluating candidate genes</span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

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<div style='text-align:center'><span style='font-size:200%;color:#E9EB5D'><i>Right
position<br>
</i></span></div>

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style='text-align:center'><span style='font-size:200%;color:#E9EB5D'><i>and
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<div style='text-align:center'><span style='font-size:267%;color:#E9EB5D'><i><span
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color:#E9EB5D'><i>= better<br>
</i></span></div>

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<div style='text-align:center'><span style='font-size:200%;color:#E9EB5D'><i>candidates</i></span></div>

</layer></div>

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-

<layer>
 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
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   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4><b>Evaluating
   candidate genes (CHECKED BOXES) responsible for variability in APP
   expression:</b></font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>A large number
   of genes are usually in the QTL interval and are therefore POSITIONAL
   CANDIDATES, but they will differ greatly in their biological and
   bioinformatic plausibility. Assume that the QTL has been located between 119
   and 131 Mb (12 Mb). There will typically be 12 to 15 genes per Mb, so we
   might need to evaluate several hundred positional candidates. In this
   particular case there are about 100 known genes in this interval. Eight of
   these are highlighted in the table above with check marks in the boxes to
   the left.<span style="mso-spacerun: yes">&nbsp; </span>We need to highlight
   and objectively score the biologically relevant subset of all 100 positional
   candidate genes. We could look through gene ontologies and expression levels
   to help us shorten the list. An alternate way available using WebQTL is to
   generate a list of those genes in this interval that have transcripts that
   co-vary in expression with App expression. That is what the table shows.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>1. To replicate
   this table go back to the Trait Data and Analysis Form. Choose to sort
   correlations by POSITION and select RETURN = 500. Then scroll down the list
   to Chr 7 and review the subset of positional candidates that share
   expression with App. You should see a list similar to that shown above.
   Gtf3c1 is a good biological candidate and has a high covariation in
   expression with App.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>2. Caveat:<span
   style="mso-spacerun: yes">&nbsp;&nbsp; </span>Of course, the gene or genes
   that control App expression may not be in this list. A protein coding
   difference might be the ultimate cause of variation in App transcript level
   and the expression covariation might be close to zero. Our list may also
   simply be missing the right transcript since the microarray is not truly
   comprehensive. Furthermore, even if the list contains the QTL gene, an
   expression difference may only have been expressed early in development or
   even in another tissue such as liver. While it is important to recognize
   these caveats, it is equally important to devise a rational way to rank
   candidates given existing data. Coexpression is one of several criteria used
   to evaluate positional candidates. We will see others in the next slide.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>3. We can also
   assess the likelihood that candidates contain functional polymorphism in
   promoters and enhancers that affect their expression simply by mapping the
   transcripts of all candidate genes to see if they Òmap backÓ to the location
   of gene itself. A transcript that maps to its own location is referred to as
   a cis QTL. We essentially ask: Which of the transcripts listed in the
   Correlation Table above (from Gtf3c1 to Zranb1) has variation in expression
   that maps to Chr 7 at about 120 Mb?<span style="mso-spacerun: yes">&nbsp;
   </span>The logic of this search is that if a gene controls the level of its
   own expression it is also much more likely to generate other downstream
   effects. The Gtf3c1 transcript is a weak cis QTL with a local LRS maximum of
   about 7.0 (D alleles are high). That is just about sufficient to declare it
   to be a cis QTL. [No whole genome correction is required and a point-wise
   p-value of 0.05 is the appropriate test. A p-value of 0.05 is roughly
   equivalent to an LRS of 6.0 (LOD = 1.3).]</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
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<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>This is a major output
  type: a so-called full-genome interval map.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The X-axis represents all
  19 autosomes and the X chromosome as if they were laid end to end with short
  gaps between the telomere of one chromosome and the centromere of the next
  chromosome (mouse chromosomes only have a single long arm and the centromere
  represents the origin of each chromosome for numerical purpose: 0
  centimorgans at almost 0 megabases). The blue labels along the bottom of the
  figure list a subset of the 3795 markers that were used in mapping.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The thick blue wavy line
  running across chromosomes summarizes the strength of association between
  variation in the phenotype (App expression differences) and the two genotypes
  of all markers and the intervals between markers (hence, interval mapping).<span
  style="mso-spacerun: yes">&nbsp; </span>The height of the wave (blue Y-axis
  to the left) provides the likelihood ratio statistic (LRS). Divide by 4.61 to
  convert these values to LOD scores.<span style="mso-spacerun: yes">&nbsp;
  </span>Or you can read them as a chi-square-like statistic.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The red line and the red
  axis to the far right provides an estimate of the effect that a QTL has on
  expression of App (this estimate of the so-called additive effect tends to be
  too high). If the red line is below the X-axis then this means that the allele
  inherited from C57BL/6J (B6 or B) at a particular marker is associated with
  higher values. If the red line is above the X-axis then the DBA/2J allele (D2
  or D) is associated with higher trait values. Multiply the additive effect
  size by 2 to estimate the difference between the set of strains that have the
  B/B genotype and those that have the D/D genotype at a specific marker. For
  example, on distal Chr 7 the red line peaks at a value of about 0.2. That
  means that this region of chromosome 2 is responsible for a 0.4 unit
  expression difference between B/B strains and the D/D strains.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The yellow histogram bars:
  These summarize the results of a whole-genome bootstrap of the trait that is
  performed 1000 times. What is a bootstrap? A bootstrap provides a method to
  evaluate whether results are robust. If we drop out one strain, do we still
  get the same results? When mapping quantitative traits, each strain normally
  gets one equally weighted vote. But using the bootstrap procedure, we give
  each strain a random weighting factor of between 0 and 1.<span
  style="mso-spacerun: yes">&nbsp; </span>We then remap the trait and find THE
  SINGLE BEST LRS VALUE per bootstrap. We do this 1000 times. In this example,
  most bootstrap results cluster on Chr 3 and Chr 7 under the LRS peaks. That
  is somewhat reassuring. But notice that a substantial number of bootstrap are
  scattered around on other chromosomes. About 30% of the bootstrap resamples
  have a peak on Chr 7. That is pretty good, but does makes us realize that the
  sample we are working with is still quite small and fragile.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>The horizontal dashed
  lines at 10.5 and 17.3 are the likelihood ratio statistic (LRS) values
  associated with the suggestive and significant genome-wide probabilities that
  were established by permutations of phenotypes across genotypes. We shuffle
  randomly 2000 times and obtain a distribution of peak LRS scores to generate
  a null distribution. Five percent of the time, one of these permuted data
  sets will have a peak LRS higher than 17.3. We call that level the 0.05
  significance threshold for a whole genome scan. The p = 0.67 point is the the
  suggestive level, and corresponds to the green dashed line.<span
  style="mso-spacerun: yes">&nbsp; </span>These thresholds are conservative for
  transcripts that have expression variation that is highly heritable. The
  putative or suggestive QTL on Chr 3 is probably more than just suggestive.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>One other point: the
  mapping procedure we use is computationally very fast, but it is relatively
  simple. We are not looking for gene-gene interactions and we are not fitting
  multiple QTLs in combinations. Consider this QTL analysis a first pass that
  will highlight hot spots and warm spots that are worth following up on using
  more sophisticated models.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>CLICKABLE REGIONS:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>1. If you click on the
  Chromosome number then you will generate a new map just for that chromosome.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. If you click on the
  body of the map, say on the blue line, then you will generate a view on a 10
  Mb window of that part of the genome from the UCSC Genome Browser web site.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3. If you click on a
  marker symbol, then you will generate a new Trait data and Analysis window
  with the genotypes loaded into the window just like any other trait. More on
  this in Section 3.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>4. You can drag these maps
  off of the browser window and onto your desktop. They will be saved as PNG or
  PDF files. You can import them into Photoshop or other programs.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>5. There is also an option
  at the bottom of the page to download a 2X higher resolution image of this
  plot for papers and presentations.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>6. You can also download
  the results of the analysis in a text format</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>An even higher blow-up of
   part of the Chr 7 physical map of variation in App expression in brain.<span
   style="mso-spacerun: yes">&nbsp; </span>The QTL region actually extends from
   about 119 to 129.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>1. As mentioned
   in the previous slide another important approach to ranking candidates is
   based on the number of sequence variants that distinguish the parental
   strains. If we were sure that the sequences of the gene, its promoter, and
   its enhancers were identical between the strains then we could discount--but
   not eliminate--that gene as a candidate. The Gtf3c1 candidate almost falls
   into this category: of 663 known SNPs in and around this gene, only four
   differ between C57BL/6J and DBA/2J. Gtf3c1 is essentially
   identical-by-descent in these strains and is a less likely candidate. In
   contrast, if the two alleles of the gene have dozens of functional variants
   in exons, promoters, enhancers, and splice sites, then it becomes a higher
   priority candidate.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>Of course it
   only takes a single critical sequence variant to generate downstream
   effects. The argument above is really about the prior probabilities. Where
   would you place your bets given the information at hand?</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2.<span
   style="mso-spacerun: yes">&nbsp; </span>If you scroll down the INTERVAL
   ANALYST you will find that Ctbp2 is a particularly interesting candidate
   that contains lots of SNPs (n = 75 and a SNP density of 0.55 SNP/Kb). Ctbp2
   is also closer to our QTL peak than was Gtf3c1. Not only does Ctbp2 contain
   lots of SNPs but it is also is associated with a powerful cis QTL with an
   LRS of 24.2 (divide by 4.61 to get the equivalent LOD score of 5.25).</font><br>
   </td>
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   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3.<span
   style="mso-spacerun: yes">&nbsp; </span>At this high magnification,
   individual genes are distinct. They are color coded by their density of
   SNPs. Bright orange represents those genes that have a high SNP density
   (C57BL/6J versus DBA/2J), black represents genes with low SNP density. Roll
   the cursor over a gene block and its name will pop up, along with
   information on exon number.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>4.<span
   style="mso-spacerun: yes">&nbsp; </span>Beneath the physical map you will
   find an INTERVAL ANALYST table that lists information on known genes in the
   region on which you have zoomed the Physical Map.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>5.<span
   style="mso-spacerun: yes">&nbsp; </span>As always: error-checking is
   important. Some genes may be missing from the Interval Analyst (recent
   additions or errors of omission). In this case the Zranb1 gene that is
   located just proximal to Ctbp2 is not listed in the INTERVAL ANALYST.
   Double-check the interval using the Genome Browser links (blue and beige
   horizontal bars) at the top of the PHYSICAL MAP.</font><br>
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  <td align=left colspan=1><font face=Verdana size=2>The map on the top has an
  X-axis scale based on frequency of recombinations events between markers (B
  to D transitions, see slide 19 for a color-coded example). These so-called
  genetic maps are scaled in centimorgan (recombinations per 100 gametes). In contrast,
  the physical map shown below the genetic map has an X-axis scale based on DNA
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</span><span style='font-family:Verdana;font-size:64%'><i>Ctbp2</i></span><span
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
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-</script><span
style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>This is</span><span
style='font-size:233%;color:#E9EB5D'><i> the </i></span></span></layer><script>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'><i>Ctbp2 </i></span><span
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detected </span></span></layer><script>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>data set.</span><span
style='font-size:233%;color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></layer></div>

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>This is</span><span
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>in the INIA
data set. </span><span style='font-size:233%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><i><br>
</i></span></span></layer></div>

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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>This slide illustrates
   one reason why Ctbp2 should be considered a high priority positional
   candidate gene that may modulate the expression level of App.<span
   style="mso-spacerun: yes">&nbsp; </span>Ctbp2 is a strong cis QTL in some
   brain regions (here the data are taken from the striatum).<span
   style="mso-spacerun: yes">&nbsp; </span>If Ctbp2 contains variants that
   modulate its own expression then these expression differences may produce
   many downstream effects. Of course, we now want to know much more about the
   known biology of Ctbp2. What kind of gene is it? To begin to answer that
   question we can use a number of resources listed in the LINKS page.</font><br>
   </td>
  </tr>
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   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Verdana size=3> The App QTL is bimodal. Perhaps there are actually two
   causal factors in this region--one close to 123 Mb and the other close to
   127 Mb.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. The precision of QTL
   mapping depends on several factors, including the effect size and
   interactions among QTLs modulating a trait, the number of genetic
   individuals that are studied, and the distribution of recombinations in the
   study population.<span style="mso-spacerun: yes">&nbsp; </span>In the case
   above, the QTL(s) are likely to be confined to the interval from 120 to 132
   Mb. The bootstrap test (yellow bars shown in some of the previous slides)
   can be usual for estimating the consistency of QTL peaks.</font><br>
   </td>
  </tr>
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<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
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<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Physical map of variation
  in App expression in brain on distal Chr 7 (a blow up of the whole-genome map
  on the previous slide).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
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  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font face=Verdana
  size=2> You can now see that the X-axis is on a physical scale of megabases
  (Mb). The QTL peak is roughly between 120 and 132 Mb.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. The small irregular
  colored blocks and marks toward the top of the map mark the locations of
  genes superimposed on the physical map. Neighboring genes are offset slightly
  in the vertical axis for display purpose. Note one region of very high gene
  density from about 120 to 123 Mb.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3. The orange hash marks
  along the X-axis represent the number of single nucleotide polymorphisms that
  distinguish the two parental strains (C57BL/6J and DBA/2J) from each other.
  We call this the SNP seismograph track (see Glossary for more details). Regions
  with low numbers of SNP have closely matched sequences and are less likely to
  contain QTLs.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>4. As before, the thin red
  line shows the additive effect size. By convention the positive values
  signify the D alleles are associated with higher expression of App in this
  region of Chr 7 than the B alleles. The maximum effect size is about +0.20
  log2 expression units per D allele. The differences been the BB and DD
  genotypes (BB and DD because each strain has two alleles; one per chromosome)
  is therefore about 2^0.4 = 1.32; or a 32% increment in DD relative to BB at
  this locus.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>5. If you scroll just
  under the Physical Map you will see text that reads ÒDISPLAY from XXX Mb TO
  YYY MbÉ..Ó<span style="mso-spacerun: yes">&nbsp; </span>These physical maps
  are zoomable, a feature we will exploit to evaluate candidate genes in this
  QTL interval.</font><br>
  </td>
 </tr>
</table>

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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
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mso-text-indent-alt:0'><span style='font-family:Verdana;font-size:64%'>Evaluating
</span><span style='font-family:Verdana;font-size:64%'><i>Ctbp2</i></span><span
style='font-family:Verdana;font-size:64%'> using other resources</span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

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 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
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  </tr>
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   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Ctbp2 should also be
   considered a high priority biological candidate gene responsible for
   modulating App expression levels. The C-terminal binding protein 2 is a
   transcriptional co-repressor also known as Ribeye.</font><font
   face=Times-Roman size=3> The gene produces two transcripts encoding distinct
   proteins. The short form is a transcriptional repressor that binds a
   Pro-X-Asp-Leu-Ser peptide motif and interacts with several transcription
   factors including EVI1, ZFPM1, and ZFHX1A (aka TCF8, deltaEF1). The longer
   isoform is a major component of specialized synapses in photoreceptors. Both
   proteins contain a NAD+ binding domain similar to NAD+-dependent
   2-hydroxyacid dehydrogenases.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>1. To find out more about
   CTBP2 protein and the Ctbp2 gene, link to iHOP at
   http://www.pdg.cnb.uam.es/UniPub/iHOP/ and type in CTBP2</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Try Arrowsmith at
   http://arrowsmith.psych.uic.edu/cgi-test/arrowsmith_uic/pubsmith.cgi</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. Both APP and CTBP2 are
   involved in oxidoreducatase activity or Notch signaling. To establish this
   common gene ontology visit NCBI<span style="mso-spacerun: yes">&nbsp;
   </span>http://www.ncbi.nih.gov/entrez/query.fcgi?db=gene and enter each gene
   symbol.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3. You can get
   interesting hints regarding Ctbp2 expression partners by examining the
   genetic correlations between Ctbp2 probe set 1422887_a_at and all other
   transcripts on the M430 Affymetrix array. Use the Striatum data set because
   we already know from previous work (the previous slide) that this gene is a
   cis QTL.<span style="mso-spacerun: yes">&nbsp; </span>You should be able to
   show that Ctbp2 and Notch3 have antagonistic expression patterns in
   striatum. The negative genetic correlation with E2f4 is even stronger. The
   transcript also has a high positive genetic correlation with Rdh14. Of
   particular interest with respect to APP protein processing, Ctbp2 covaries
   positively with Bace2 (the transcript of the beta site APP-cleaving enzyme
   2).</font><br>
   </td>
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   <td align=left colspan=1><br>
   </td>
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   </td>
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<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
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href="webqtl_demo2.ppt.ppt">
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<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4><b>Evaluating
  candidate genes (CHECKED BOXES) responsible for variability in APP
  expression:</b></font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>A large number
  of genes are usually in the QTL interval and are therefore POSITIONAL
  CANDIDATES, but they will differ greatly in their biological and
  bioinformatic plausibility. Assume that the QTL has been located between 119
  and 131 Mb (12 Mb). There will typically be 12 to 15 genes per Mb, so we
  might need to evaluate several hundred positional candidates. In this
  particular case there are about 100 known genes in this interval. Eight of
  these are highlighted in the table above with check marks in the boxes to the
  left.<span style="mso-spacerun: yes">&nbsp; </span>We need to highlight and
  objectively score the biologically relevant subset of all 100 positional
  candidate genes. We could look through gene ontologies and expression levels
  to help us shorten the list. An alternate way available using WebQTL is to
  generate a list of those genes in this interval that have transcripts that
  co-vary in expression with App expression. That is what the table shows.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>1. To replicate
  this table go back to the Trait Data and Analysis Form. Choose to sort
  correlations by POSITION and select RETURN = 500. Then scroll down the list
  to Chr 7 and review the subset of positional candidates that share expression
  with App. You should see a list similar to that shown above. Gtf3c1 is a good
  biological candidate and has a high covariation in expression with App.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>2. Caveat:<span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>Of course, the gene or genes
  that control App expression may not be in this list. A protein coding
  difference might be the ultimate cause of variation in App transcript level
  and the expression covariation might be close to zero. Our list may also
  simply be missing the right transcript since the microarray is not truly
  comprehensive. Furthermore, even if the list contains the QT gene, an
  expression difference may only have been expressed early in development or
  even in another tissue such as liver. While it is important to recognize
  these caveats, it is equally important to devise a rational way to rank
  candidates given existing data. Coexpression is one of several criteria used
  to evaluate positional candidates. We will see others in the next slide.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>3. We can also
  assess the likelihood that candidates contain functional polymorphism in
  promoters and enhancers that affect their expression simply by mapping the
  transcripts of all candidate genes to see if they Òmap backÓ to the location
  of gene itself. A transcript that maps to its own location is referred to as
  a cis QTL. We essentially ask: Which of the the transcripts listed in the
  Correlation Table above (from Gtf3c1 to Zranb1) has variation in expression
  that maps to Chr 7 at about 120 Mb?<span style="mso-spacerun: yes">&nbsp;
  </span>The logic of this search is that if a gene controls the level of its
  own expression it is also much more likely to generate other downstream
  effects. The Gtf3c1 transcript is a weak cis QTL with a local LRS maximum of
  about 7.0 (D alleles are high). That is just about sufficient to declare it
  to be a cis QTL. [No whole genome correction is required and a point-wise
  p-value of 0.05 is the appropriate test. A p-value of 0.05 is roughly
  equivalent to an LRS of 6.0 (LOD = 1.3).]</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</body>

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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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<div style='mso-special-format:nobullet;text-align:left;font-family:"Gill Sans";
font-weight:normal;font-style:normal;text-decoration:none;text-shadow:none;
text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;color:#FBFDB8;
font-size:213%;mso-text-raise:0%;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
292;mso-text-indent-alt:0;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
292;mso-text-indent-alt:0'><span style='mso-special-format:nobullet;display:
none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Summary of Part 2</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

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<div>

<layer>
 <div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
 normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
 no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
 mso-text-raise:0%'></div>
</layer>

<layer>
 <div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
 normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
 no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
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</layer>

<layer>
 <div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
 normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
 no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
 mso-text-raise:0%'></div>
</layer>

<layer>
 <div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
 normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
 no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
 mso-text-raise:0%'></div>
</layer>

<script>
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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
color:black;mso-color-index:1;font-size:80%;mso-text-raise:0%;mso-margin-left-alt:
144;mso-margin-left-alt:144'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.96%;font-family:Arial'>1.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Covered the basics of QTL
analysis and mapping.<br>
</span></span></layer></div>

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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
color:black;mso-color-index:1;font-size:80%;mso-text-raise:0%;mso-margin-left-alt:
144;mso-margin-left-alt:144'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.96%;font-family:Arial'>2.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Reviewed difference between
genetic and physical maps.<br>
</span></span></layer></div>

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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
color:black;mso-color-index:1;font-size:80%;mso-text-raise:0%;mso-margin-left-alt:
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.55%;font-family:Arial'>3.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Discussed interpreting features
of QTL maps including the LRS function, </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>the additive effect function, the bootstrap
bars, and the permutation </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>thresholds.<br>
</span></span></layer></div>

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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.89%;font-family:Arial'>4.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Illustrated techniques to
generate a list of positional candidates.<br>
</span></span></layer></div>

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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.96%;font-family:Arial'>5.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Discussed some factors used to
evaluate candidate genes.</span></span></layer></div>

</layer></div>

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>What does a QTL signify? A good QTL is a claim
that a particular </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>chromosomal region contains a causal source of
variation in the phenotype. </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>The importance of this hypothesis depends on
the quality and relevance of the </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>phenotype and the statistical strength of the
QTL. As usual, test and be </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>skeptical.</span></span></layer></div>

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<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2.ppt.ppt">
<script>
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<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Even higher blow-up of
  part of the Chr 7 physical map of variation in App expression in brain.<span
  style="mso-spacerun: yes">&nbsp; </span>The QTL region actually extends from
  about 119 to 129.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>1. As mentioned
  in the previous slide another important approach to ranking candidates is
  based on the number of sequence variants that distinguish the parental
  strains. If we were sure that the sequences of the gene, its promoter, and
  its enhancers were identical between the strains then we could discount--but
  not eliminate--that gene as a candidate. The Gtf3c1 candidate almost falls
  into this category: of 663 known SNPs in and around this gene, only four
  differ between C57BL/6J and DBA/2J. Gtf3c1 is essentially
  identical-by-descent in these strains and is a less likely candidate. In
  contrast, if the two alleles of the gene have dozens of functional variants
  in exons, promoters, enhancers, and splice sites, then it becomes a higher
  priority candidate.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face="Times New Roman" size=4>Of course it
  only takes a single critical sequence variant to generate downstream effects.
  The argument above is really about the prior probabilities. Where would you
  place your bets given the information at hand?</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2.<span
  style="mso-spacerun: yes">&nbsp; </span>If you scroll down the INTERVAL
  ANALYST you will find that Ctbp2 is a particularly interesting candidate that
  contains lots of SNPs (n = 75 and a SNP density of 0.55 SNP/Kb). Ctbp2 is
  also closer to our QTL peak than was Gtf3c1. Not only does Ctbp2 contain lots
  of SNPs but it is also is associated with a powerful cis QTL with an LRS of
  24.2 (divide by 4.61 to get the equivalent LOD score of 5.25).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3.<span
  style="mso-spacerun: yes">&nbsp; </span>At this high magnification,
  individual genes are distinct. They are color coded by their density of SNPs.
  Bright orange represents those genes that have a high SNP density (C57BL/6J
  versus DBA/2J), black represents genes with low SNP density. Roll the cursor
  over a gene block and its name will pop up, along with information on exon
  number.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>4.<span
  style="mso-spacerun: yes">&nbsp; </span>Beneath the physical map you will
  find an INTERVAL ANALYST table that lists information on known genes in the
  region on which you have zoomed the Physical Map.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>5.<span
  style="mso-spacerun: yes">&nbsp; </span>As always: error-checking is
  important. Some genes may be missing from the Interval Analyst (recent
  additions or errors of omission). In this case the Zranb1 gene that is
  located just proximal to Ctbp2 is not listed in the INTERVAL ANALYST.
  Double-check the interval using the Genome Browser links (blue and beige
  horizontal bars) at the top of the PHYSICAL MAP.</font><br>
  </td>
 </tr>
</table>

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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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<div><script>
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<div style='text-align:left;font-family:"Gill Sans";font-weight:normal;
font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
mso-fareast-hint:no;layout-flow:horizontal;color:#E9EB5D;font-size:293%;
mso-text-raise:0%;mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0;mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0'><span style='font-family:Verdana;font-size:64%'>Test
Questions</span><span style='font-family:Verdana;font-size:73%;mso-special-format:
lastCR;display:none'><i><br>
</i></span></div>

</layer></div>

</layer><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><span style='font-size:233%;color:#E9EB5D'>1. Evaluate
candidates for the Chr 3 </span><span style='font-size:233%;color:#E9EB5D'><i>App</i></span><span
style='font-size:233%;color:#E9EB5D'> QTL.</span><span style='font-size:233%;
color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

</layer><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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-</script><span
style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>2. Do </span><span
style='font-size:233%;color:#E9EB5D'><i>App</i></span><span style='font-size:
233%;color:#E9EB5D'> and </span><span style='font-size:233%;color:#E9EB5D'><i>Ctbp2</i></span><span
style='font-size:233%;color:#E9EB5D'> expression share any </span></span></layer><script>
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-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>other QTLs
beside that on Chr 7?</span><span style='font-size:233%;color:#E9EB5D;
mso-special-format:lastCR;display:none'><i><br>
</i></span></span></layer></div>

</layer><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 1.02 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>3. Can you
exploit literature mining tools to </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>find a
strong relationship between </span><span style='font-size:233%;color:#E9EB5D'><i>App</i></span><span
style='font-size:233%;color:#E9EB5D'> and </span></span></layer><script>
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-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:left'><span style='font-size:233%;color:#E9EB5D'><i>Ctbp2</i></span><span
style='font-size:233%;color:#E9EB5D'>? </span><span style='font-size:233%;
color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></layer></div>

</layer><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 1.1 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>4. Why might
the cis QTL for </span><span style='font-size:233%;color:#E9EB5D'><i>Ctbp2</i></span><span
style='font-size:233%;color:#E9EB5D'> expression </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>only be
detected in the striatum data set?</span><span style='font-size:233%;
color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></layer></div>

</layer></div>

</LAYER>

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<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2.ppt.htm">
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href="webqtl_demo2.ppt.ppt">
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  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>This slide illustrates one
  reason why Ctbp2 should be considered a high priority positional candidate
  gene that may modulate the expression level of App.<span style="mso-spacerun:
  yes">&nbsp; </span>Ctbp2 is a strong cis QTL in some brain regions (here the
  data are taken from the striatum).<span style="mso-spacerun: yes">&nbsp;
  </span>If Ctbp2 contains variants that modulate its own expression then these
  expression differencess may produce many downstream effects. Of course, we
  now want to know much more about the known biology of Ctbp2. What kind of
  gene is it? To begin to answer that question we can use a number of resources
  listed in the LINKS page.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font face=Verdana
  size=2> The App QTL is bimodal. Perhaps there are actually two causal factors
  in this region--one close to 123 Mb and the other close to 127 Mb.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. The precision of QTL
  mapping depends on several factors, including the effect size and
  interactions among QTLs modulating a trait, the number of genetic individuals
  that are studied, and the distribution of recombinations in the study
  population.<span style="mso-spacerun: yes">&nbsp; </span>In the case above,
  the QTL(s) are likely to be confined to the interval from 120 to 132 Mb. The
  bootstrap test (yellow bars shown in some of the previous slides) can be
  usual for estimating the consiistency of QTL peaks.</font><br>
  </td>
 </tr>
</table>

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<head>
<meta name=ProgId content=PowerPoint.Slide>
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color:#E9EB5D'>kmanly@utmem.edu</span></div>

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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D'>The </span><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D'><i>App</i></span><span style='font-family:"Gill Sans";
font-size:200%;color:#E9EB5D'> findings reviewed in this presentation are part
of an </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D'>ongoing study by R. Williams. R. Homayouni, and R. Clark (July
15, </span></span></layer><script>
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color:#E9EB5D'>2005)</span><span style='font-family:"Gill Sans";font-size:300%;
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  <td align=left colspan=1><font face=Verdana size=2>Ctbp2 should also be
  considered a high priority biological candidate gene responsible for
  modulating App expression levels. The<span style="mso-spacerun: yes">&nbsp;
  </span>C-terminal binding protein 2 is a transcriptional co-repressor also
  known as Ribeye.</font><font face=Times-Roman size=2> The gene produces two
  transcripts encoding distinct proteins. The short form is a transcriptional
  repressor that binds a Pro-X-Asp-Leu-Ser peptide motif common to adenoviral
  oncoprotein E1a and a related motif in BKLF. This short form also interacts<span
  style="mso-spacerun: yes">&nbsp; </span>with several transcription factors
  including EVI1, ZFPM1, and<span style="mso-spacerun: yes">&nbsp;&nbsp;
  </span>ZFHX1A (aka TCF8, deltaEF1). The longer isoform is a major component
  of specialized synapses in photoreceptors. Both proteins contain a NAD+
  binding domain similar to NAD+-dependent 2-hydroxyacid dehydrogenases.</font><br>
  </td>
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  <td align=left colspan=1><font face=Verdana size=2>Notes:</font><br>
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  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>1. To find out more about
  CTBP2 protein and the Ctbp2 gene, link to iHOP at
  http://www.pdg.cnb.uam.es/UniPub/iHOP/ and type in CTBP2</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>Try Arrowsmith at
  http://arrowsmith.psych.uic.edu/cgi-test/arrowsmith_uic/pubsmith.cgi</font><br>
  </td>
 </tr>
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  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>2. Both APP and CTBP2 are
  involved in oxidoreducatase activity or Notch signalling. To estabilish this
  common gene ontology visit NCBI<span style="mso-spacerun: yes">&nbsp;
  </span>http://www.ncbi.nih.gov/entrez/query.fcgi?db=gene<span
  style="mso-spacerun: yes">&nbsp; </span>and enter each gene symbol.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Verdana size=2>3. You can get intersting
  hints regarding Ctbp2 expression partners by examining the genetic
  correlations between Ctbp2 probe set 1422887_a_at and all other transcripts
  on the M430 Affymetrix array. Use the Striatum data set because we already
  know from previous work (the previous slide) that this gene is a cis
  QTL.<span style="mso-spacerun: yes">&nbsp; </span>You should be able to show
  that Ctbp2 and Notch3 have antagonistic expression patterns in striatum. The
  negative genetic correlation with E2f4 is even stronger. The transcript also
  has a high positive genetic correlation with Rdh14. Of particualr interest
  with respect to APP protein processing, Ctbp2 covaries positiviely with Bace2
  (the transcript of the beta site APP-cleaving enzyme 2).</font><br>
  </td>
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   CORRELATION of the Atcay transcript to the App transcript, you can generate
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   scatterplot, each point is a strain mean value. For example, BXD33 and BXD8
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diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0044.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0044.htm
deleted file mode 100755
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its neighbors</span></div>

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   <td align=left colspan=1><font face=Helvetica size=3>A group of traits from
   many different databases can be selected and brought together for joint
   analysis. In this case all of the content of the BXD SELECTIONS is from a
   single BRAIN database, the top 20 neighbors of the App transcript from the
   Correlation Results table. Eight of these neighbors plus App is shown in the
   slide.</font><br>
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   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Helvetica size=3>All of items in the BXD SELECTIONS were selected using
   the SELECT ALL button</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. The buttons at the
   top (and bottom) of this page can do some cool stuff. We will work with
   NETWORK GRAPH first.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>3. Think of the
   SELECTIONS as your shopping cart. You go to different aisles in the
   supermarket to acquire different types of items of interest. These could
   include transcripts, classical phenotypes (longevity, brain weight, prepulse
   inhibition, iron levels in midbrain). ÒChecking outÓ in this case involves
   doing some analysis with the items in the cart.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>4. Different tools
   handle different numbers of items. Most will handle up to 100 traits.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0045.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0045.htm
deleted file mode 100755
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-

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  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Output of the Network
   Graph. Warm colors (orange and red) are positive correlations above 0.5
   whereas cool colors (green and blue) are negative correlations. Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Helvetica size=3> All of the nodes (gene/transcripts) on this graph are
   clickable.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. For this graph the
   App expression values have ÒrevertedÓ to their pre-Windsorized values.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>3. To generate this
   graph, we used the default setting:<span style="mso-spacerun: yes">&nbsp;
   </span>Size of 16 by 16 inches; Gene Symbols; Don't Show Correlations; Use
   curved lines (aka ÒedgesÓ).</font><br>
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<script language=JavaScript><!--

-//-->

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\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0046.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0046.htm
deleted file mode 100755
index 93429543..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0046.htm
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font-weight:normal;font-style:normal;text-decoration:none;text-shadow:none;
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font-size:213%;mso-text-raise:0%;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
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none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Correlations of </span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> with classical traits</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

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 <div id=NotesObj style='display:none'>
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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Going back to the Trait
   Data and Analysis Form window, we have computed the correlations between
   strain variation in App expression level and other classical phenotypes that
   have already been measured in many of the same BXD strains.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Helvetica size=3>The number of common strains varies widely--in this
   case from 14 to 23 strains.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. We can add these
   traits (four are selected) to our BXD SELECTIONS window.</font><br>
   </td>
  </tr>
 </table>
 </div>
</layer>

<script language=JavaScript><!--

-//-->

-</script><script language=JavaScript><!--

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\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0047.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0047.htm
deleted file mode 100755
index e7568e44..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0047.htm
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<div style='mso-special-format:nobullet;text-align:left;font-family:"Gill Sans";
font-weight:normal;font-style:normal;text-decoration:none;text-shadow:none;
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none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Network Graph of </span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> with classical traits</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

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   Network Graph, now using other types of traits.</font><br>
   </td>
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   <td colspan=1></td>
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\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0048.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0048.htm
deleted file mode 100755
index f36b1e25..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0048.htm
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<div style='mso-special-format:nobullet;text-align:left;font-family:"Gill Sans";
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text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;color:#FBFDB8;
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none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Summary of Part 1:</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer><script>
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<div>

<layer>
 <div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<layer>
 <div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<layer>
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<layer>
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<script>
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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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144;mso-margin-left-alt:144'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.84%;font-family:Arial'>1.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You have learned the basics
about searching for traits<br>
</span></span></layer></div>

</layer><script>
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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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144;mso-margin-left-alt:144'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-3.03%;font-family:Arial'>2.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know some methods to check
data quality<br>
</span></span></layer></div>

</layer><script>
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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
color:black;mso-color-index:1;font-size:80%;mso-text-raise:0%;mso-margin-left-alt:
144;mso-margin-left-alt:144'><script>
-	mytop = 0 * g_height; myleft = 0.02 * g_width; myheight = 0.05 * g_height; mywidth = 0.83 * g_width;
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-3.03%;font-family:Arial'>3.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to edit bad or
suspicious data<br>
</span></span></layer></div>

</layer><script>
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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
color:black;mso-color-index:1;font-size:80%;mso-text-raise:0%;mso-margin-left-alt:
144;mso-margin-left-alt:144'><script>
-	mytop = 0 * g_height; myleft = 0.02 * g_width; myheight = 0.05 * g_height; mywidth = 0.88 * g_width;
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.85%;font-family:Arial'>4.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to review the
basic statistics of a trait<br>
</span></span></layer></div>

</layer><script>
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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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144;mso-margin-left-alt:144'><script>
-	mytop = 0 * g_height; myleft = 0.02 * g_width; myheight = 0.05 * g_height; mywidth = 0.91 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.74%;font-family:Arial'>5.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to generate a
scattergram between two </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>traits using the Traits Correlation tool<br>
</span></span></layer></div>

</layer><script>
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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
color:black;mso-color-index:1;font-size:80%;mso-text-raise:0%;mso-margin-left-alt:
144;mso-margin-left-alt:144'><script>
-	mytop = 0 * g_height; myleft = 0.02 * g_width; myheight = 0.05 * g_height; mywidth = 0.98 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.56%;font-family:Arial'>6.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to add items to
your SELECTIONS window<br>
</span></span></layer></div>

</layer><script>
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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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144;mso-margin-left-alt:144'><script>
-	mytop = 0 * g_height; myleft = 0.02 * g_width; myheight = 0.05 * g_height; mywidth = 0.97 * g_width;
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.57%;font-family:Arial'>7.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to generate a
Network Graph of traits that </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>co-vary. </span></span></layer></div>

</layer></div>

</layer><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>What does genetic covariance mean? The genetic
covariance can </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>be functional and mechanistic, but it can also
be due to linkage </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>disequilibrium. Finally, it can be due to
sampling error or poor </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>experimental design. Evaluate the biological
plausibility of </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>correlations. Test and be skeptical.</span></span></layer></div>

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diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0049.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0049.htm
deleted file mode 100755
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<div style='text-align:left;font-family:"Gill Sans";font-weight:normal;
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style='text-align:left'><span style='font-size:73%'>The GeneNetwork and WebQTL
: PART 2<span style="mso-spacerun: yes">&nbsp;&nbsp; </span><br>
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style='text-align:left'><span style='font-size:73%'>link to www.genenetwork.org</span><span
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</i></span></span></layer></div>

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   <td align=left colspan=1><font face=Helvetica size=3>Part 2: Discovering
   upstream modulators and quantitative trait loci (QTLs). A quantitative trait
   locus is a chromosomal region that harbors one or a few polymorphic gene
   loci that influence a trait. We are going to be looking for QTLs that
   modulate the steady state expression level of App in the adult mouse
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diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0050.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0050.htm
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-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
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<div><script language=JavaScript><!--

-xx = 0.66 * g_width;
-yy = 0.2 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image042.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.35 * g_height; myleft = 0.23 * g_width; myheight = 0.01 * g_height; mywidth = 0.5 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.23 * g_width;
-yy = 0.35 * g_height;
-ht = 0.01 * g_height;
-wd = 0.5 * g_width;
-document.write(
-'<img border=0 src="slide0019_image043.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.35 * g_height; myleft = 0.24 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.24 * g_width;
-yy = 0.35 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image044.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.35 * g_height; myleft = 0.4 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.4 * g_width;
-yy = 0.35 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image045.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.35 * g_height; myleft = 0.57 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.57 * g_width;
-yy = 0.35 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image046.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.35 * g_height; myleft = 0.74 * g_width; myheight = 0.03 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.74 * g_width;
-yy = 0.35 * g_height;
-ht = 0.03 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image047.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.42 * g_height; myleft = 0.05 * g_width; myheight = 0.12 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0.01 * g_width; myheight = 0.1 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:200%;color:#FFFF99'><b>F1<br>
</b></span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:200%;color:#FFFF99;mso-special-format:
lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.39 * g_height; myleft = 0.22 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.22 * g_width;
-yy = 0.39 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image048.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.39 * g_height; myleft = 0.38 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.38 * g_width;
-yy = 0.39 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image049.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.39 * g_height; myleft = 0.55 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.55 * g_width;
-yy = 0.39 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image050.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.39 * g_height; myleft = 0.72 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.72 * g_width;
-yy = 0.39 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image051.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.43 * g_height; myleft = 0.43 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.43 * g_width;
-yy = 0.43 * g_height;
-ht = 0.03 * g_height;
-wd = 0.11 * g_width;
-document.write(
-'<img border=0 src="slide0019_image052.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.6 * g_height; myleft = 0.2 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.2 * g_width;
-yy = 0.6 * g_height;
-ht = 0.03 * g_height;
-wd = 0.09 * g_width;
-document.write(
-'<img border=0 src="slide0019_image053.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.71 * g_height; myleft = 0.58 * g_width; myheight = 0.26 * g_height; mywidth = 0.2 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.03 * g_height; myleft = 0.01 * g_width; myheight = 0.22 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.15 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:center'><span style='font-family:Arial;font-size:117%;
color:#FFFF99'><b>20 generations </b></span></span></layer><script>
-	mytop = 0.06 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:center'><span style='font-family:Arial;font-size:117%;
color:#FFFF99'><b>brother-sister </b></span></span></layer><script>
-	mytop = 0.12 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:center'><span style='font-family:Arial;font-size:117%;
color:#FFFF99'><b>matings</b></span><span style='font-family:Arial;font-size:
233%;color:#FFFF99;display:none'><b><br>
</b></span></span></layer></div>

</layer><script>
-	mytop = 0.16 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:233%;
color:#FFFF99;mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.6 * g_height; myleft = 0.5 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.5 * g_width;
-yy = 0.6 * g_height;
-ht = 0.03 * g_height;
-wd = 0.09 * g_width;
-document.write(
-'<img border=0 src="slide0019_image054.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.62 * g_height; myleft = 0.54 * g_width; myheight = 0.28 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.54 * g_width;
-yy = 0.62 * g_height;
-ht = 0.28 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image055.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.61 * g_height; myleft = 0.79 * g_width; myheight = 0.03 * g_height; mywidth = 0.1 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.79 * g_width;
-yy = 0.61 * g_height;
-ht = 0.03 * g_height;
-wd = 0.1 * g_width;
-document.write(
-'<img border=0 src="slide0019_image056.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.62 * g_height; myleft = 0.83 * g_width; myheight = 0.28 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.83 * g_width;
-yy = 0.62 * g_height;
-ht = 0.28 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image057.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.92 * g_height; myleft = 0.21 * g_width; myheight = 0.09 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.07 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>BXD1</span><span
style='font-family:Arial;font-size:150%;color:#484848;display:none'><br>
</span></div>

</layer><script>
-	mytop = 0.04 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#484848;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.92 * g_height; myleft = 0.51 * g_width; myheight = 0.09 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.07 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99'>BXD2<br>
</span></div>

</layer><script>
-	mytop = 0.04 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:150%;color:#FFFF99;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.92 * g_height; myleft = 0.8 * g_width; myheight = 0.05 * g_height; mywidth = 0.1 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%;mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>BXD80</span></div>

</layer></div>

</layer><script>
-	mytop = 0.9 * g_height; myleft = 0.64 * g_width; myheight = 0.17 * g_height; mywidth = 0.17 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0.01 * g_width; myheight = 0.15 * g_height; mywidth = 0.16 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.07 * g_height; mywidth = 0.16 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-341 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:300%;color:#FFFF99'>+ É +<br>
</span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0 * g_width; myheight = 0.07 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-341 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:300%;color:#FFFF99;mso-special-format:
lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.62 * g_height; myleft = 0.04 * g_width; myheight = 0.12 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.1 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:200%;color:#FFFF99'><b>F2<br>
</b></span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-230 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-family:Arial;font-size:200%;color:#FFFF99;mso-special-format:
lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.18 * g_width; myheight = 0.01 * g_height; mywidth = 0.75 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.18 * g_width;
-yy = 0.54 * g_height;
-ht = 0.01 * g_height;
-wd = 0.75 * g_width;
-document.write(
-'<img border=0 src="slide0019_image058.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.17 * g_width; myheight = 0.03 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.17 * g_width;
-yy = 0.54 * g_height;
-ht = 0.03 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image059.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.32 * g_width; myheight = 0.03 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.32 * g_width;
-yy = 0.54 * g_height;
-ht = 0.03 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image060.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.48 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.48 * g_width;
-yy = 0.54 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image061.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.62 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.62 * g_width;
-yy = 0.54 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image062.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.77 * g_width; myheight = 0.04 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.77 * g_width;
-yy = 0.54 * g_height;
-ht = 0.04 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image063.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.92 * g_width; myheight = 0.03 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.92 * g_width;
-yy = 0.54 * g_height;
-ht = 0.03 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image064.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.44 * g_height; myleft = 0.49 * g_width; myheight = 0.1 * g_height; mywidth = 0 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.49 * g_width;
-yy = 0.44 * g_height;
-ht = 0.1 * g_height;
-wd = 0 * g_width;
-document.write(
-'<img border=0 src="slide0019_image065.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.15 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.15 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image066.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.3 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.3 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image067.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.46 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.46 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image068.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.6 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.6 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image069.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.75 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.75 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image070.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = 0.9 * g_width; myheight = 0.11 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.9 * g_width;
-yy = 0.57 * g_height;
-ht = 0.11 * g_height;
-wd = 0.04 * g_width;
-document.write(
-'<img border=0 src="slide0019_image071.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.84 * g_height; myleft = 0.56 * g_width; myheight = 0.01 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.56 * g_width;
-yy = 0.84 * g_height;
-ht = 0.01 * g_height;
-wd = 0.01 * g_width;
-document.write(
-'<img border=0 src="slide0019_image072.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.8 * g_height; myleft = 0.25 * g_width; myheight = 0.11 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.25 * g_width;
-yy = 0.8 * g_height;
-ht = 0.11 * g_height;
-wd = 0.01 * g_width;
-document.write(
-'<img border=0 src="slide0019_image073.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.84 * g_height; myleft = 0.86 * g_width; myheight = 0.02 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.86 * g_width;
-yy = 0.84 * g_height;
-ht = 0.02 * g_height;
-wd = 0.01 * g_width;
-document.write(
-'<img border=0 src="slide0019_image074.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.75 * g_height; myleft = 0.01 * g_width; myheight = 0.13 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0 * g_width; myheight = 0.11 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'><b>BXD RI<br>
</b></span></div>

</layer><script>
-	mytop = 0.03 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'><b>Strain set<br>
</b></span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0.01 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99;mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.12 * g_height; myleft = 0.14 * g_width; myheight = 0.06 * g_height; mywidth = 0.1 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.14 * g_width;
-yy = 0.12 * g_height;
-ht = 0.06 * g_height;
-wd = 0.1 * g_width;
-document.write(
-'<img border=0 src="slide0019_image075.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.1 * g_height; myleft = 0.76 * g_width; myheight = 0.08 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.76 * g_width;
-yy = 0.1 * g_height;
-ht = 0.08 * g_height;
-wd = 0.14 * g_width;
-document.write(
-'<img border=0 src="slide0019_image076.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.2 * g_height; myleft = 0.17 * g_width; myheight = 0.13 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0 * g_width; myheight = 0.11 * g_height; mywidth = 0.08 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>fully<br>
</span></div>

</layer><script>
-	mytop = 0.03 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.08 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>inbred<br>
</span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99;mso-special-format:lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.38 * g_height; myleft = 0.02 * g_width; myheight = 0.09 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.07 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>isogenic<br>
</span></div>

</layer><script>
-	mytop = 0.04 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99;mso-special-format:lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.54 * g_height; myleft = 0.01 * g_width; myheight = 0.13 * g_height; mywidth = 0.12 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0.01 * g_height; myleft = 0 * g_width; myheight = 0.11 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>hetero-<br>
</span></div>

</layer><script>
-	mytop = 0.03 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.11 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
color:#FFFF99'>geneous<br>
</span></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0 * g_width; myheight = 0.03 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
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</span></div>

</layer></div>

</layer></div>

</layer><script>
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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
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<div style='text-align:center;mso-line-spacing:"-173 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Arial;font-size:150%;
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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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<div><script>
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<div style='mso-line-spacing:"-173 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
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<div style='text-align:center;mso-line-spacing:"-134 0 0";mso-margin-left-alt:
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<div><script language=JavaScript><!--

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<div><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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</LAYER>

-

<layer>
 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
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   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The next few slides
   provide a short introduction to mapping the loci that are responsible for
   variation in a trait such as App expression level. These modulatory regions
   of the genome are sometimes called quantitative trait loci or QTLs. You may
   want to do some independent reading on this topic if this is your first
   exposure to QTL analysis.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The genetic reference
   population (GRP) of BXD recombinant inbred strains were originally generated
   about 25 years ago by Benjamin Taylor at The Jackson Laboratory. He crossed
   female C57BL/6J mice with male DBA/2J mice to generate the F1 and F2
   progeny. At the bottom of this slide we have schematized one chromosome pair
   from three of the BXD RI strains.<span style="mso-spacerun: yes">&nbsp;
   </span>The dashed vertical lines that lead to the final BXD RI lines involve
   21 full sib matings (about 7 years of breeding). Some lines die out during
   inbreeding. For example, there is no longer any BXD3 strain.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>1. Over the last decade,
   our group (Lu Lu and Rob Williams) and Jeremy Peirce and Lee Silver at
   Princeton have enlarged Ben TaylorÕs set. There are now just over 80 BXD
   strains. They have all been genotyped using about 13,700 markers (SNPs and
   microsatellites). These markers are used to define the ÒblueÓ and ÒredÓ
   regions of the chromosomes as shown in the figure above.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. Chromosomes of RI GRPs
   usually have about 4 times as many recombinations as those of F2 animals.
   However, unlike an F2, both chromosomes of an RI are identical. Therefore,
   50 RI strains contain as many recombinations as 100 F2 animals.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3. BXD43 through BXD100
   were generated using a special method that resulted in a further doubling of
   the average recombination density per chromosome. The entire set of 80 BXDs
   therefore contains as many recombinations as about 260 F2 animals.</font><br>
   </td>
  </tr>
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<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
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333%;color:#E9EB5D;display:none'><br>
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<div style='mso-line-spacing:"-384 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
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</span></div>

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-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.31 * g_width;
-yy = 0.15 * g_height;
-ht = 0.05 * g_height;
-wd = 0.4 * g_width;
-document.write(
-'<img border=0 src="slide0020_image094.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.17 * g_height; myleft = 0.09 * g_width; myheight = 0.16 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#E2EBF0'>D<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#E2EBF0;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer><script>
-	mytop = 0.17 * g_height; myleft = 0.17 * g_width; myheight = 0.16 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#F6BF69'>B<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#F6BF69;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer><script>
-	mytop = 0.79 * g_height; myleft = 0.05 * g_width; myheight = 0.13 * g_height; mywidth = 1.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.12 * g_height; mywidth = 1.02 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%;mso-line-spacing:"-256 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;mso-line-spacing:"-256 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 1.02 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:left'><span style='font-size:233%;color:#E2EBF0'>D</span><span
style='font-size:233%;color:#E9EB5D'> </span><span style='font-size:200%;
color:#E9EB5D'>and </span><span style='font-size:233%;color:#F6BF69'>B</span><span
style='font-size:233%;color:#E9EB5D'> </span><span style='font-size:200%;
color:#E9EB5D'>may be SNP-like variants in the promoter </span></span></layer><script>
-	mytop = 0.04 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 1.02 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script><span
style='text-align:left'><span style='font-size:200%;color:#E9EB5D'>itself (cis
QTL) or in </span><span style='font-size:200%;color:#EAEC5E'>upstream genes
(trans QTLs)</span><span style='font-size:300%;color:#E9EB5D'>.</span></span></layer></div>

</layer></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0.04 * g_width; myheight = 0.16 * g_height; mywidth = 0.22 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.22 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-233 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-size:200%;color:#E9EB5D'>UPSTREAM<br>
</span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.22 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-233 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-size:200%;color:#E9EB5D'>modulators<br>
</span></div>

</layer><script>
-	mytop = 0.1 * g_height; myleft = 0.01 * g_width; myheight = 0.05 * g_height; mywidth = 0.2 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-233 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-size:200%;color:#E9EB5D;
mso-special-format:lastCR;display:none'><br>
</span></div>

</layer></div>

</layer><script>
-	mytop = 0.07 * g_height; myleft = 0.44 * g_width; myheight = 0.17 * g_height; mywidth = 0.16 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.16 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-size:300%;color:#E2EBF0'>High<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:16;mso-text-indent-alt:
16'><span style='font-size:300%;color:#E2EBF0;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.63 * g_height; myleft = 0.08 * g_width; myheight = 0.17 * g_height; mywidth = 0.06 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.16 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#E2EBF0'>D<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#E2EBF0;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.63 * g_height; myleft = 0.15 * g_width; myheight = 0.17 * g_height; mywidth = 0.05 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.16 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.04 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#F6BF69'>B<br>
</span></div>

</layer><script>
-	mytop = 0.08 * g_height; myleft = 0 * g_width; myheight = 0.08 * g_height; mywidth = 0.03 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-350 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:300%;color:#F6BF69;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.71 * g_height; myleft = 0.07 * g_width; myheight = 0.12 * g_height; mywidth = 0.16 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.1 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.14 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-233 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:200%;color:#E9EB5D'><i>cis QTL</i></span><span
style='font-size:200%;color:#E9EB5D;display:none'><br>
</span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.12 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-233 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:200%;color:#E9EB5D;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer></div>

</layer><script>
-	mytop = 0.57 * g_height; myleft = -0.01 * g_width; myheight = 0.07 * g_height; mywidth = 1.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = -0.01 * g_width;
-yy = 0.57 * g_height;
-ht = 0.07 * g_height;
-wd = 1.01 * g_width;
-document.write(
-'<img border=0 src="slide0020_image095.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.44 * g_height; myleft = 0.47 * g_width; myheight = 0.12 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 0.09 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-272 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:233%;color:#F6BF69'>Low<br>
</span></div>

</layer><script>
-	mytop = 0.06 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 0.07 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='mso-line-spacing:"-272 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17'><span style='font-size:233%;color:#F6BF69;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

</layer><script>
-	mytop = 0.58 * g_height; myleft = 0 * g_width; myheight = 0.06 * g_height; mywidth = 1.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script>
-	mytop = 0 * g_height; myleft = 0.01 * g_width; myheight = 0.04 * g_height; mywidth = 1.12 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%;mso-line-spacing:"-200 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17;mso-line-spacing:"-200 0 0";mso-margin-left-alt:17;
mso-text-indent-alt:17'><span style='font-family:Gadget;font-size:167%;
color:white'>&gt;&gt;&gt;&gt;PROMOTER--ATG-Exon1-Intron1-Exon2-Intron2 -
etc-3'UTR &gt;&gt;&gt;&gt;&gt;</span></div>

</layer></div>

</layer><script>
-	mytop = 0.37 * g_height; myleft = 0.08 * g_width; myheight = 0.2 * g_height; mywidth = 0.13 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div><script language=JavaScript><!--

-xx = 0.08 * g_width;
-yy = 0.37 * g_height;
-ht = 0.2 * g_height;
-wd = 0.13 * g_width;
-document.write(
-'<img border=0 src="slide0020_image096.png" x=' + xx + ' y=' +yy + ' height=' + ht + ' width=' + wd + '>' );
-//-->

-</script></div>

</layer><script>
-	mytop = 0.4 * g_height; myleft = 0.1 * g_width; myheight = 0.11 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:"\30D2\30E9\30AE\30CE\89D2\30B4 Pro W3";
font-size:233%;color:white'><b>&#4;</b></span><span style='font-family:Palatino;
font-size:233%;color:white;display:none'><b><br>
</b></span></div>

</layer><script>
-	mytop = 0.05 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:Palatino;font-size:233%;
color:white;mso-special-format:lastCR;display:none'><b><br>
</b></span></div>

</layer></div>

</layer><script>
-	mytop = 0.4 * g_height; myleft = 0.18 * g_width; myheight = 0.11 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
-	mytop = 0 * g_height; myleft = 0 * g_width; myheight = 0.05 * g_height; mywidth = 0.01 * g_width;
-	document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' );
-</script>

<div style='text-align:center;mso-line-spacing:"-269 0 0";mso-margin-left-alt:
17;mso-text-indent-alt:17'><span style='font-family:"\30D2\30E9\30AE\30CE\89D2\30B4 Pro W3";
font-size:233%;color:white'><b>&#4;</b></span><span style='font-family:Palatino;
font-size:233%;color:white;display:none'><b><br>
</b></span></div>

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   <td align=left colspan=1><font face=Helvetica size=3>This slide is
   illustrates two major types of QTLs that modulate variability in
   transcript-relative steady state abundance.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
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  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>1. cis QTLs are defined
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  <tr>
   <td colspan=1></td>
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   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. trans QTLs map far
   enough away from the location of the gene that gives rise to the transcript
   that is being measured so that we can be fairly certain that the QTL is not
   in the gene itself. The most blatant type of trans QTL would be a
   polymorphism in a transcription factor. But in the majority of cases, the
   trans QTLs can be far removed in a mechanistic sense from the actual events
   modulating transcript abundance. That is why there are three overlapping
   arrows in the figure.<span style="mso-spacerun: yes">&nbsp; </span>The way
   in which an upstream polymorphism influences a downstream difference in mRNA
   abundance can be indirect. Effects can:</font><br>
   </td>
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   CNS gene expression)</font><br>
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  <tr>
   <td colspan=1></td>
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   style="mso-spacerun: yes">&nbsp;&nbsp; </span>b.<span style="mso-spacerun:
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   during development but has permanent effects in adults)</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3><span
   style="mso-spacerun: yes">&nbsp;&nbsp; </span>c.<span style="mso-spacerun:
   yes">&nbsp; </span>may be contingent on environmental factors (heat shock
   may trigger the expression of a polymorphic factor that affects mRNA
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style='font-family:Verdana;font-size:64%'>Discovering upstream modulatory loci</span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

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   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Please bring the Trait
   Data and Analysis window to the front and look for the Interval Mapping
   button. Confirm that you are back to the trait amyloid beta precursor
   protein.<span style="mso-spacerun: yes">&nbsp; </span>If so, then just click
   the button.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notice that the default
   for:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Select Chrs (chromosomes)
   is ALL</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Select Mapping Scale is
   set to GENETIC</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Options: Permutation test
   YES<span style="mso-spacerun: yes">&nbsp; </span>(2000 is the default
   number)</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Options: Bootstrap test
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diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0053.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0053.htm
deleted file mode 100755
index d729b467..00000000
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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>This is a major output
   type: a so-called full-genome interval map.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The X-axis represents all
   19 autosomes and the X chromosome as if they were laid end to end with short
   gaps between the telomere of one chromosome and the centromere of the next
   chromosome (mouse chromosomes only have a single long arm and the centromere
   represents the origin of each chromosome for numerical purpose: 0
   centimorgans at almost 0 megabases). The blue labels along the bottom of the
   figure list a subset of the 3795 markers that were used in mapping.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The thick blue wavy line
   running across chromosomes summarizes the strength of association between
   variation in the phenotype (App expression differences) and the two
   genotypes of all markers and the intervals between markers (hence, interval
   mapping).<span style="mso-spacerun: yes">&nbsp; </span>The height of the
   wave (blue Y-axis to the left) provides the likelihood ratio statistic
   (LRS). Divide by 4.61 to convert these values to LOD scores.<span
   style="mso-spacerun: yes">&nbsp; </span>Or you can read them as a
   chi-square-like statistic.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The red line and the red
   axis to the far right provides an estimate of the effect that a QTL has on
   expression of App (this estimate of the so-called additive effect tends to
   be too high). If the red line is below the X-axis then this means that the
   allele inherited from C57BL/6J (B6 or B) at a particular marker is
   associated with higher values. If the red line is above the X-axis then the
   DBA/2J allele (D2 or D) is associated with higher trait values. Multiply the
   additive effect size by 2 to estimate the difference between the set of
   strains that have the B/B genotype and those that have the D/D genotype at a
   specific marker. For example, on distal Chr 7 the red line peaks at a value
   of about 0.2. That means that this region of chromosome 2 is responsible for
   a 0.4 unit expression difference between B/B strains and the D/D strains.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The yellow histogram
   bars: These summarize the results of a whole-genome bootstrap of the trait
   that is performed 1000 times. What is a bootstrap? A bootstrap provides a
   method to evaluate whether results are robust. If we drop out one strain, do
   we still get the same results? When mapping quantitative traits, each strain
   normally gets one equally weighted vote. But using the bootstrap procedure,
   we give each strain a random weighting factor of between 0 and 1.<span
   style="mso-spacerun: yes">&nbsp; </span>We then remap the trait and find THE
   SINGLE BEST LRS VALUE per bootstrap. We do this 1000 times. In this example,
   most bootstrap results cluster on Chr 3 and Chr 7 under the LRS peaks. That
   is somewhat reassuring. But notice that a substantial number of bootstrap
   are scattered around on other chromosomes. About 30% of the bootstrap
   resamples have a peak on Chr 7. That is pretty good, but does makes us
   realize that the sample we are working with is still quite small and
   fragile.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The horizontal dashed
   lines at 10.5 and 17.3 are the likelihood ratio statistic (LRS) values
   associated with the suggestive and significant genome-wide probabilities
   that were established by permutations of phenotypes across genotypes. We
   shuffle randomly 2000 times and obtain a distribution of peak LRS scores to
   generate a null distribution. Five percent of the time, one of these
   permuted data sets will have a peak LRS higher than 17.3. We call that level
   the 0.05 significance threshold for a whole genome scan. The p = 0.67 point
   is the the suggestive level, and corresponds to the green dashed line.<span
   style="mso-spacerun: yes">&nbsp; </span>These thresholds are conservative
   for transcripts that have expression variation that is highly heritable. The
   putative or suggestive QTL on Chr 3 is probably more than just suggestive.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>One other point: the
   mapping procedure we use is computationally very fast, but it is relatively
   simple. We are not looking for gene-gene interactions and we are not fitting
   multiple QTLs in combinations. Consider this QTL analysis a first pass that
   will highlight hot spots and warm spots that are worth following up on using
   more sophisticated models.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>CLICKABLE REGIONS:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>1. If you click on the
   Chromosome number then you will generate a new map just for that chromosome.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. If you click on the
   body of the map, say on the blue line, then you will generate a view on a 10
   Mb window of that part of the genome from the UCSC Genome Browser web site.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3. If you click on a
   marker symbol, then you will generate a new Trait data and Analysis window
   with the genotypes loaded into the window just like any other trait. More on
   this in Section 3.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>4. You can drag these
   maps off of the browser window and onto your desktop. They will be saved as
   PNG or PDF files. You can import them into Photoshop or other programs.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>5. There is also an
   option at the bottom of the page to download a 2X higher resolution image of
   this plot for papers and presentations.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>6. You can also download
   the results of the analysis in a text format</font><br>
   </td>
  </tr>
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-</script><span
style='text-align:left'><span style='font-size:117%;color:#E9EB5D'><i>separation
between New York and Boston in either travel hours or kilometers</i></span><span
style='font-size:150%;color:#E9EB5D'><i>.</i></span><span style='font-size:
167%;color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></layer></div>

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-

<layer>
 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
  <tr>
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   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The map on the top has an
   X-axis scale based on frequency of recombinations events between markers (B
   to D transitions, see slide 19 for a color-coded example). These so-called
   genetic maps are scaled in centimorgan (recombinations per 100 gametes). In
   contrast, the physical map shown below the genetic map has an X-axis scale
   based on DNA length measured in nucleotides or base-pairs. Notice the large
   difference between the two maps in the size of Chr 19 (large on the genetic
   scale but small on the physical scale).</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Also notice the large
   difference in the width of the chromosome 7 QTL peak. In mice,
   recombinations occur with higher frequency toward the telomeric side (righ
   sidet) of each chromosome. As a result, genetic maps are stretched out more
   toward the telomere relative to a physical map. The QTL on distal Chr 7 is
   therefore actually more precisely mapped than might appear looking at the
   genetic map.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>The physical scale is
   becoming more useful than the genetic scale primarily because many other
   data types can be easily superimposed on a physical map. You will see more
   examples in the next several slides.</font><br>
   </td>
  </tr>
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deleted file mode 100755
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mso-text-indent-alt:0'><span style='font-family:Verdana;font-size:64%'>Physical
map for distal chromosome 7</span><span style='font-family:Verdana;font-size:
73%;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

</layer></div>

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no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><span style='font-size:167%;color:#E9EB5D'>Distal Chr 7 from
~120 and 132 Mb may modulate</span><span style='font-size:167%;color:#E9EB5D'><i>
App</i></span><span style='font-size:200%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><i><br>
</i></span></div>

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 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
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   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Physical map of variation
   in App expression in brain on distal Chr 7 (a blow up of the whole-genome
   map on the previous slide).</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Verdana size=3> You can now see that the X-axis is on a physical scale
   of megabases (Mb). The QTL peak is roughly between 120 and 132 Mb.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. The small irregular
   colored blocks and marks toward the top of the map mark the locations of
   genes superimposed on the physical map. Neighboring genes are offset
   slightly in the vertical axis for display purpose. Note one region of very
   high gene density from about 120 to 123 Mb.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3. The orange hash marks
   along the X-axis represent the number of single nucleotide polymorphisms
   that distinguish the two parental strains (C57BL/6J and DBA/2J) from each
   other. We call this the SNP seismograph track (see Glossary for more
   details). Regions with low numbers of SNP have closely matched sequences and
   are less likely to contain QTLs.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>4. As before, the thin
   red line shows the additive effect size. By convention the positive values
   signify the D alleles are associated with higher expression of App in this
   region of Chr 7 than the B alleles. The maximum effect size is about +0.20
   log2 expression units per D allele. The differences been the BB and DD
   genotypes (BB and DD because each strain has two alleles; one per
   chromosome) is therefore about 2^0.4 = 1.32; or a 32% increment in DD
   relative to BB at this locus.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>5. If you scroll just
   under the Physical Map you will see text that reads ÒDISPLAY from XXX Mb TO
   YYY MbÉ..Ó<span style="mso-spacerun: yes">&nbsp; </span>These physical maps
   are zoomable, a feature we will exploit to evaluate candidate genes in this
   QTL interval.</font><br>
   </td>
  </tr>
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<script language=JavaScript><!--

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diff --git a/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0056.htm b/web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0056.htm
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style='font-family:Verdana;font-size:64%'>Evaluating candidate genes</span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

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<div style='text-align:center'><span style='font-size:200%;color:#E9EB5D'><i>Right
position<br>
</i></span></div>

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<div style='text-align:center'><span style='font-size:267%;color:#E9EB5D'><i><span
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</i></span></div>

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<div style='text-align:center'><span style='font-size:200%;color:#E9EB5D'><i>candidates</i></span></div>

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 <div id=NotesObj style='display:none'>
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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4><b>Evaluating
   candidate genes (CHECKED BOXES) responsible for variability in APP
   expression:</b></font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>A large number
   of genes are usually in the QTL interval and are therefore POSITIONAL
   CANDIDATES, but they will differ greatly in their biological and
   bioinformatic plausibility. Assume that the QTL has been located between 119
   and 131 Mb (12 Mb). There will typically be 12 to 15 genes per Mb, so we
   might need to evaluate several hundred positional candidates. In this
   particular case there are about 100 known genes in this interval. Eight of
   these are highlighted in the table above with check marks in the boxes to
   the left.<span style="mso-spacerun: yes">&nbsp; </span>We need to highlight
   and objectively score the biologically relevant subset of all 100 positional
   candidate genes. We could look through gene ontologies and expression levels
   to help us shorten the list. An alternate way available using WebQTL is to
   generate a list of those genes in this interval that have transcripts that
   co-vary in expression with App expression. That is what the table shows.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>1. To replicate
   this table go back to the Trait Data and Analysis Form. Choose to sort
   correlations by POSITION and select RETURN = 500. Then scroll down the list
   to Chr 7 and review the subset of positional candidates that share
   expression with App. You should see a list similar to that shown above.
   Gtf3c1 is a good biological candidate and has a high covariation in
   expression with App.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>2. Caveat:<span
   style="mso-spacerun: yes">&nbsp;&nbsp; </span>Of course, the gene or genes
   that control App expression may not be in this list. A protein coding
   difference might be the ultimate cause of variation in App transcript level
   and the expression covariation might be close to zero. Our list may also
   simply be missing the right transcript since the microarray is not truly
   comprehensive. Furthermore, even if the list contains the QT gene, an
   expression difference may only have been expressed early in development or
   even in another tissue such as liver. While it is important to recognize
   these caveats, it is equally important to devise a rational way to rank
   candidates given existing data. Coexpression is one of several criteria used
   to evaluate positional candidates. We will see others in the next slide.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>3. We can also
   assess the likelihood that candidates contain functional polymorphism in
   promoters and enhancers that affect their expression simply by mapping the
   transcripts of all candidate genes to see if they Òmap backÓ to the location
   of gene itself. A transcript that maps to its own location is referred to as
   a cis QTL. We essentially ask: Which of the the transcripts listed in the
   Correlation Table above (from Gtf3c1 to Zranb1) has variation in expression
   that maps to Chr 7 at about 120 Mb?<span style="mso-spacerun: yes">&nbsp;
   </span>The logic of this search is that if a gene controls the level of its
   own expression it is also much more likely to generate other downstream
   effects. The Gtf3c1 transcript is a weak cis QTL with a local LRS maximum of
   about 7.0 (D alleles are high). That is just about sufficient to declare it
   to be a cis QTL. [No whole genome correction is required and a point-wise
   p-value of 0.05 is the appropriate test. A p-value of 0.05 is roughly
   equivalent to an LRS of 6.0 (LOD = 1.3).]</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
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font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
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maps are zoomable</span><span style='font-family:Verdana;font-size:73%;
mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Even higher blow-up of
   part of the Chr 7 physical map of variation in App expression in brain.<span
   style="mso-spacerun: yes">&nbsp; </span>The QTL region actually extends from
   about 119 to 129.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>1. As mentioned
   in the previous slide another important approach to ranking candidates is
   based on the number of sequence variants that distinguish the parental
   strains. If we were sure that the sequences of the gene, its promoter, and
   its enhancers were identical between the strains then we could discount--but
   not eliminate--that gene as a candidate. The Gtf3c1 candidate almost falls
   into this category: of 663 known SNPs in and around this gene, only four
   differ between C57BL/6J and DBA/2J. Gtf3c1 is essentially
   identical-by-descent in these strains and is a less likely candidate. In
   contrast, if the two alleles of the gene have dozens of functional variants
   in exons, promoters, enhancers, and splice sites, then it becomes a higher
   priority candidate.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face="Times New Roman" size=4>Of course it
   only takes a single critical sequence variant to generate downstream
   effects. The argument above is really about the prior probabilities. Where
   would you place your bets given the information at hand?</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2.<span
   style="mso-spacerun: yes">&nbsp; </span>If you scroll down the INTERVAL
   ANALYST you will find that Ctbp2 is a particularly interesting candidate
   that contains lots of SNPs (n = 75 and a SNP density of 0.55 SNP/Kb). Ctbp2
   is also closer to our QTL peak than was Gtf3c1. Not only does Ctbp2 contain
   lots of SNPs but it is also is associated with a powerful cis QTL with an
   LRS of 24.2 (divide by 4.61 to get the equivalent LOD score of 5.25).</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3.<span
   style="mso-spacerun: yes">&nbsp; </span>At this high magnification,
   individual genes are distinct. They are color coded by their density of
   SNPs. Bright orange represents those genes that have a high SNP density
   (C57BL/6J versus DBA/2J), black represents genes with low SNP density. Roll
   the cursor over a gene block and its name will pop up, along with
   information on exon number.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>4.<span
   style="mso-spacerun: yes">&nbsp; </span>Beneath the physical map you will
   find an INTERVAL ANALYST table that lists information on known genes in the
   region on which you have zoomed the Physical Map.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>5.<span
   style="mso-spacerun: yes">&nbsp; </span>As always: error-checking is
   important. Some genes may be missing from the Interval Analyst (recent
   additions or errors of omission). In this case the Zranb1 gene that is
   located just proximal to Ctbp2 is not listed in the INTERVAL ANALYST.
   Double-check the interval using the Genome Browser links (blue and beige
   horizontal bars) at the top of the PHYSICAL MAP.</font><br>
   </td>
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mso-text-indent-alt:0'><span style='font-family:Verdana;font-size:64%'>Evaluating
</span><span style='font-family:Verdana;font-size:64%'><i>Ctbp2</i></span><span
style='font-family:Verdana;font-size:64%'> as a candidate QTL for </span><span
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style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
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</i></span></span></layer></div>

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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>This slide illustrates
   one reason why Ctbp2 should be considered a high priority positional
   candidate gene that may modulate the expression level of App.<span
   style="mso-spacerun: yes">&nbsp; </span>Ctbp2 is a strong cis QTL in some
   brain regions (here the data are taken from the striatum).<span
   style="mso-spacerun: yes">&nbsp; </span>If Ctbp2 contains variants that
   modulate its own expression then these expression differencess may produce
   many downstream effects. Of course, we now want to know much more about the
   known biology of Ctbp2. What kind of gene is it? To begin to answer that
   question we can use a number of resources listed in the LINKS page.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Verdana size=3> The App QTL is bimodal. Perhaps there are actually two
   causal factors in this region--one close to 123 Mb and the other close to
   127 Mb.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. The precision of QTL
   mapping depends on several factors, including the effect size and
   interactions among QTLs modulating a trait, the number of genetic
   individuals that are studied, and the distribution of recombinations in the
   study population.<span style="mso-spacerun: yes">&nbsp; </span>In the case
   above, the QTL(s) are likely to be confined to the interval from 120 to 132
   Mb. The bootstrap test (yellow bars shown in some of the previous slides)
   can be usual for estimating the consiistency of QTL peaks.</font><br>
   </td>
  </tr>
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<div style='text-align:left;font-family:"Gill Sans";font-weight:normal;
font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
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mso-text-indent-alt:0'><span style='font-family:Verdana;font-size:64%'>Evaluating
</span><span style='font-family:Verdana;font-size:64%'><i>Ctbp2</i></span><span
style='font-family:Verdana;font-size:64%'> using other resources</span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>

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   <td align=left colspan=1><font face=Verdana size=3>Ctbp2 should also be
   considered a high priority biological candidate gene responsible for
   modulating App expression levels. The<span style="mso-spacerun: yes">&nbsp;
   </span>C-terminal binding protein 2 is a transcriptional co-repressor also
   known as Ribeye.</font><font face=Times-Roman size=3> The gene produces two
   transcripts encoding distinct proteins. The short form is a transcriptional
   repressor that binds a Pro-X-Asp-Leu-Ser peptide motif common to adenoviral
   oncoprotein E1a and a related motif in BKLF. This short form also interacts<span
   style="mso-spacerun: yes">&nbsp; </span>with several transcription factors
   including EVI1, ZFPM1, and<span style="mso-spacerun: yes">&nbsp;&nbsp;
   </span>ZFHX1A (aka TCF8, deltaEF1). The longer isoform is a major component
   of specialized synapses in photoreceptors. Both proteins contain a NAD+
   binding domain similar to NAD+-dependent 2-hydroxyacid dehydrogenases.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>1. To find out more about
   CTBP2 protein and the Ctbp2 gene, link to iHOP at
   http://www.pdg.cnb.uam.es/UniPub/iHOP/ and type in CTBP2</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Try Arrowsmith at
   http://arrowsmith.psych.uic.edu/cgi-test/arrowsmith_uic/pubsmith.cgi</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>2. Both APP and CTBP2 are
   involved in oxidoreducatase activity or Notch signalling. To estabilish this
   common gene ontology visit NCBI<span style="mso-spacerun: yes">&nbsp;
   </span>http://www.ncbi.nih.gov/entrez/query.fcgi?db=gene<span
   style="mso-spacerun: yes">&nbsp; </span>and enter each gene symbol.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>3. You can get intersting
   hints regarding Ctbp2 expression partners by examining the genetic
   correlations between Ctbp2 probe set 1422887_a_at and all other transcripts
   on the M430 Affymetrix array. Use the Striatum data set because we already
   know from previous work (the previous slide) that this gene is a cis
   QTL.<span style="mso-spacerun: yes">&nbsp; </span>You should be able to show
   that Ctbp2 and Notch3 have antagonistic expression patterns in striatum. The
   negative genetic correlation with E2f4 is even stronger. The transcript also
   has a high positive genetic correlation with Rdh14. Of particualr interest
   with respect to APP protein processing, Ctbp2 covaries positiviely with
   Bace2 (the transcript of the beta site APP-cleaving enzyme 2).</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
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none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Summary of Part 2:</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

</layer></div>

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<div>

<layer>
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</layer>

<layer>
 <div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<layer>
 <div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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<layer>
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</layer>

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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
color:black;mso-color-index:1;font-size:80%;mso-text-raise:0%;mso-margin-left-alt:
144;mso-margin-left-alt:144'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.96%;font-family:Arial'>1.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Covered the basics of QTL
analysis and mapping.<br>
</span></span></layer></div>

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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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144;mso-margin-left-alt:144'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.71%;font-family:Arial'>2.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Reviewed difference between
genetic and physical maps.<br>
</span></span></layer></div>

</layer><script>
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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
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144;mso-margin-left-alt:144'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.62%;font-family:Arial'>3.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Discussed interpreting features
of QTL maps including the </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>LRS function, the additive effect function,
the bootstrap bars, </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>and the permutation thresholds.<br>
</span></span></layer></div>

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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.51%;font-family:Arial'>4.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Illustrated technics to
generate a list of positional candidates.<br>
</span></span></layer></div>

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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
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style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Discussed some factors used to
evaluate candidate genes.</span></span></layer></div>

</layer></div>

</layer><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>What does a QTL signify? A good QTL is a claim
that a particular </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>chromosomal region contains a causal source of
variation in the </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>phenotype. The importance of this hypothesis
depends on the </span></span></layer><script>
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-</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>quality and relevance of the phenotype and the
statistical </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>strength of the QTL. As usual, test and be
skeptical.</span></span></layer></div>

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<div><script>
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<div style='text-align:left;font-family:"Gill Sans";font-weight:normal;
font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
mso-fareast-hint:no;layout-flow:horizontal;color:#E9EB5D;font-size:293%;
mso-text-raise:0%;mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0;mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
mso-text-indent-alt:0'><span style='font-family:Verdana;font-size:64%'>Test
Questions</span><span style='font-family:Verdana;font-size:73%;mso-special-format:
lastCR;display:none'><i><br>
</i></span></div>

</layer></div>

</layer><script>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><span style='font-size:233%;color:#E9EB5D'>1. Evaluate
candidates for the Chr 3 </span><span style='font-size:233%;color:#E9EB5D'><i>App</i></span><span
style='font-size:233%;color:#E9EB5D'> QTL.</span><span style='font-size:233%;
color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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-</script><span
style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>2. Do </span><span
style='font-size:233%;color:#E9EB5D'><i>App</i></span><span style='font-size:
233%;color:#E9EB5D'> and </span><span style='font-size:233%;color:#E9EB5D'><i>Ctbp2</i></span><span
style='font-size:233%;color:#E9EB5D'> expression share any </span></span></layer><script>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>other QTLs
beside that on Chr 7?</span><span style='font-size:233%;color:#E9EB5D;
mso-special-format:lastCR;display:none'><i><br>
</i></span></span></layer></div>

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>3. Can you
exploit literature mining tools to </span></span></layer><script>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>find strong
relation between </span><span style='font-size:233%;color:#E9EB5D'><i>App</i></span><span
style='font-size:233%;color:#E9EB5D'> and </span><span style='font-size:233%;
color:#E9EB5D'><i>Ctbp2</i></span><span style='font-size:233%;color:#E9EB5D'>? </span><span
style='font-size:233%;color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></layer></div>

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index a2ed520a..00000000
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index f2002169..00000000
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index 4a47f1fe..00000000
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deleted file mode 100755
index 2981fa86..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/frame.htm
+++ /dev/null
@@ -1,43 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
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<link title="Presentation File" type="application/powerpoint" rel=alternate
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<script>
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<script> <!--
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-
-function WriteMe() {
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- 	  document.write( '<frameset cols=\"20%,*\" id=PPTHorizAdjust >' +
-	  '<frame src=\"outline_collapsed.htm\" name=PPTOtl>' );
-	  var distribution;
-	if ( parent.includeNotes ) 
-		distribution = "*,20%";
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-		distribution = "*,0";		
-	document.write('<frameset rows=\"' + distribution + '\" id=PPTVertAdjust >' +
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/fs_navigation_bar.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/fs_navigation_bar.htm
deleted file mode 100755
index 2b5174d1..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/fs_navigation_bar.htm
+++ /dev/null
@@ -1,84 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
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-</script>
<title>Navigation Bar</title>

-<script>
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-	dad = parent;
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-  
-  document.write( '<img src="' + prevBtn + '" border=0 alt="Previous Slide" title="Previous Slide">' );
-
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-  if( false || fEnable )
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-
-  document.write( '</td><td align=center valign=' + textAlign + '> &nbsp &nbsp <font face=\"Arial\" color=#000000 size=2>' + innerText + '</font>  &nbsp &nbsp </td><td align=left valign=top>' );
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-    document.write( '<a onclick="if(event) event.cancelBubble=true"  href="javascript:dad.M_GoNextSld()" >' );
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-  document.write( '<img src="' + nextBtn + '" border=0 alt="Next Slide" title="Next Slide">' );
-
-  if( false ||  fEnable )
-    document.write( '</a>' );
-  document.write( '</td> </tr></table> </td>  <td align=right valign=top>' );
-  document.write( '<a onclick="if(event) event.cancelBubble=true"  href="javascript:mainWin.CloseFullScreen()" > ' );
-   document.write( '<img src="fullscrClose.gif"border=0 alt="Close" title="Close">');
-   document.write( ' </a>' );
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-  document.write( '</td> </tr></table>' );
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-if ( mainWin.msie < 0 ) {
-	document.captureEvents(Event.MOUSEDOWN);
-	document.onmousedown = handleClick;
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-
-function handleClick(event) {
-	if ( event.which == 3 )
-		return false;
-	return true;
-}
-//-->
-</script>
-
</head>

<body background=navbg.gif topmargin=2 onresize="restore()" scroll="no" 
onkeypress="parent.processNavKPH(event)" onclick="parent.processNavClick()"oncontextmenu="parent.processNavClick(); return false">

<center><script language=JavaScript><!--

-WriteBody();//-->

-</script></center>

</body>

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\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/fullscr.gif b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/fullscr.gif
deleted file mode 100755
index 85842700..00000000
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deleted file mode 100755
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Binary files differdiff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/fullscreen.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/fullscreen.htm
deleted file mode 100755
index d562e618..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/fullscreen.htm
+++ /dev/null
@@ -1,48 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! opener.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
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-</script><script language=JavaScript src=script.js></script><script language=JavaScript><!--

-var SCREEN_MODE = "FullScreen";
- base = self;
- g_fullscrMode = 1;LoadHTMLVersion();
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-</script>
</head>

<script> <!--
-closing = false;
-PPTPRESENTATION = 1;
-function getSlideName() {
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-	else	
-		NavPopup = window.open( "fs_navigation_bar.htm", "controls", "WIDTH=300,HEIGHT=50");
-	NavPopup.focus();
-}
-
-
-function WriteMe() {
-	document.write( '<frameset rows=\" *,35 \" frameborder=0> '  +
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-	'<frame src=\"' + getSlideName() + '\" name=PPTSld marginheight=0  marginwidth=0 scrolling=no noresize> ' +
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-	window.focus();
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-
-function shutdown( ) {
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-WriteMe();
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-
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/master02.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/master02.htm
deleted file mode 100755
index 2eebab33..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/master02.htm
+++ /dev/null
@@ -1,11 +0,0 @@
-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
<meta name=Robots content=NoIndex>
<link rel=Stylesheet href="master03_stylesheet.css">
<script language=JavaScript src=script.js></script>
-<script>
-<!--
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-
</head>

<body>

<div class=O style='text-align:right;position:absolute;top:.53%;left:58.01%;
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<div class=O style='position:absolute;top:97.52%;left:1.32%;width:42.64%;
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</body>

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\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/master03.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/master03.htm
deleted file mode 100755
index 89745289..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/master03.htm
+++ /dev/null
@@ -1,11 +0,0 @@
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<head>
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<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
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<script>
-if ( ! top.PPTPRESENTATION ) {
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-</script>
<meta name=Robots content=NoIndex>
<link rel=Stylesheet href="master03_stylesheet.css">
<script language=JavaScript src=script.js></script>
-<script>
-<!--
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-//-->
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-
</head>

<body>

<div style='position:absolute;top:.35%;left:6.09%;width:90.33%;height:18.19%;
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  href="javascript:parent.base.Slide('5')" id=AREF>&quot;First page of data:&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID6 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p6" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('6')" id=AREF>&quot;Data sources:&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID7 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p7" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('7')" id=AREF>&quot;Expression estimates
  for App on...&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID8 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p8" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('8')" id=AREF>&quot;Critiquing the App
  data the...&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID9 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p9" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('9')" id=AREF>&quot;App expression after
  windsorizing&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID10 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p10" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('10')" id=AREF>&quot;Discovering shared
  expression patterns&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID11 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p11" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('11')" id=AREF>&quot;Transcript
  neighborhoods&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID12 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p12" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('12')" id=AREF>&quot;App and Atcay
  transcript scatterplot&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID13 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p13" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('13')" id=AREF>&quot;App transcript and
  eight of...&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID14 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p14" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('14')" id=AREF>App transcript coexpression
  neighborhood</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID15 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p15" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('15')" id=AREF>&quot;Correlations of App
  with classical...&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID16 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p16" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('16')" id=AREF>&quot;Network Graph of App
  with...&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID17 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p17" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('17')" id=AREF>&quot;Summary of Part 1:&quot;</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID18 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p18" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('18')" id=AREF>Contact for comments and
  improvements:</a></b></font></td>
 </tr>
</table>

</body>

</html>
\ No newline at end of file
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<head>
<meta name=ProgId content=PowerPoint.Slide>
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onload=" parent.base.highlite();" onresize="self.location.reload();">

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID1 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p1" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('1')" id=AREF>GeneNetwork and WebQTL:</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Part 1: How to study expression
  variation and covariation (slides 2&#8211;16)</font></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Part 2. Discovering upstream modulators
  (slides 17&#8211;30)</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID2 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p2" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('2')" id=AREF>Slide 2</a></b></font></td>
 </tr>
</table>

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 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID3 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p3" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('3')" id=AREF>Slide 3</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID4 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p4" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('4')" id=AREF><font face="Gill Sans">Search
  results</font></a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID5 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p5" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('5')" id=AREF>&quot;First page of data:&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>First page of data: The Trait Data and
  Analysis Form</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID6 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p6" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('6')" id=AREF>&quot;Data sources:&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Data sources: Metadata for each
  resource</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID7 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p7" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('7')" id=AREF>&quot;Expression estimates
  for App on...&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Expression estimates for App on the
  Trait Data form</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID8 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p8" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('8')" id=AREF>&quot;Critiquing the App
  data the...&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Critiquing the App data the Trait Data</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID9 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p9" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('9')" id=AREF>&quot;App expression after
  windsorizing&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>App expression after windsorizing</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID10 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p10" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('10')" id=AREF>&quot;Discovering shared
  expression patterns&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Discovering shared expression patterns</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID11 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p11" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('11')" id=AREF>&quot;Transcript
  neighborhoods&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Transcript neighborhoods</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID12 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p12" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('12')" id=AREF>&quot;App and Atcay
  transcript scatterplot&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>App and Atcay transcript scatterplot</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID13 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p13" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('13')" id=AREF>&quot;App transcript and
  eight of...&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>App transcript and eight of its
  neighbors</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID14 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p14" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('14')" id=AREF>App transcript coexpression
  neighborhood</a></b></font></td>
 </tr>
</table>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID15 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p15" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('15')" id=AREF>&quot;Correlations of App
  with classical...&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Correlations of App with classical
  traits</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID16 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p16" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('16')" id=AREF>&quot;Network Graph of App
  with...&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Network Graph of App with classical
  traits</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID17 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p17" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('17')" id=AREF>&quot;Summary of Part 1:&quot;</a></b></font></td>
 </tr>
</table>

<table>
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td colspan=1><font face=Arial size=2>Summary of Part 1:</font></td>
 </tr>
</table>

<br>

<table  width=100%>
 <tr>
  <td width=1 ><script> if ( parent.base.isnav ) { document.write('<ilayer id= LAYERID18 VISIBILITY=hidden >&gt;</ilayer>'); } </script></td>
  <td width=100%  id="p18" ><font face=Arial size=2><b><a
  href="javascript:parent.base.Slide('18')" id=AREF>Contact for comments and
  improvements:</a></b></font></td>
 </tr>
</table>

</body>

</html>
\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/outline_navigation_bar.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/outline_navigation_bar.htm
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-	g_origSz=parseInt(SlideObj.style.fontSize)
-	g_origH=SlideObj.style.posHeight
-	g_origW=SlideObj.style.posWidth
-	g_scaleHyperlinks=(document.all.tags("AREA").length>0)
-	if ( IsWin("PPTSld") && !parent.IsFullScrMode() )
-		parent.base.highlite();	
-	if( g_scaleHyperlinks )
-		InitHLinkArray()
-	if( g_scaleInFrame||(IsWin("PPTSld") && parent.IsFullScrMode() ) )
-		document.body.scroll="no"
-	_RSW()
-	if( IsWin("PPTSld") && (parent.IsFullScrMode() || CtxAlwaysOn ) )	{
-		document.oncontextmenu=parent._CM;
-	self.focus(); 
-
-	}
-}
-function MakeSldVis( fTrans ) 
-{
-	fTrans=fTrans && g_showAnimation
-	if( fTrans )
-	{
-		if( g_bgSound ) {
-			idx=g_bgSound.indexOf(",");
-			pptSound.src=g_bgSound.substr( 0, idx );
-			pptSound.loop= -(parseInt(g_bgSound.substr(idx+1)));
-		}
-		SlideObj.filters.revealtrans.Apply()
-	}
-	SlideObj.style.visibility="visible"
-	if( fTrans )
-		SlideObj.filters.revealtrans.Play()
-}
-function MakeNotesVis() 
-{
-	if( !IsNts() ) return false 
-	SlideObj.style.display="none"
-	nObj = document.all.item("NotesObj")
-	parent.SetHasNts(0)
-	if( nObj ) { 
-		nObj.style.display=""
-		parent.SetHasNts(1)
-	}
-	return 1
-}
-function Redirect( frmId,sId )
-{
-	var str=document.location.hash,idx=str.indexOf('#')
-	if(idx>=0) str=str.substr(1);
-	if( window.name != frmId && ( sId != str) ) {
-		obj = document.all.item("Main-File")
-		window.location.href=obj.href+"#"+sId
-		return 1
-	}
-	return 0
-}
-function HideMenu() { if( frames["PPTSld"] && PPTSld.document.all.item("ctxtmenu") && PPTSld.ctxtmenu.style.display!="none" ) { PPTSld.ctxtmenu.style.display='none'; return true } return false }
-function IsWin( name ) { return window.name == name }
-function IsNts() { return IsWin("PPTNts") }
-function IsSldOrNts() { return( IsWin("PPTSld")||IsWin("PPTNts") ) }
-function SupportsPPTAnimation() { return( navigator.platform == "Win32" && navigator.appVersion.indexOf("Windows")>0 ) }
-function SupportsPPTHTML()
-{
-	var appVer=navigator.appVersion, msie=appVer.indexOf( "MSIE " ), inex = appVer.indexOf( "Internet Explorer " ), ver=0
-	if( msie >= 0 )
-		ver=parseFloat( appVer.substring( msie+5, appVer.indexOf(";",msie) ) )
-	else if( inex >= 0 )
-		ver=parseFloat( appVer.substring( inex+18, appVer.indexOf(";",inex) ) )
-	else
-		ver=parseInt(appVer)
-
-	return( ver >= 4  )
-}
-var MHTMLPrefix = CalculateMHTMLPrefix(); 
-function CalculateMHTMLPrefix()
-{
-	if ( document.location.protocol == 'mhtml:') { 
-		href=new String(document.location.href) 
-		Start=href.indexOf('!')+1 
-		End=href.lastIndexOf('/')+1 
-		if (End < Start) 
-			return href.substring(0, Start) 
-		else 
-		return href.substring(0, End) 
-	}
-	return '';
-}
-
-function LoadNavSld(slideId) {
-playList();
-parent.createCM();
-	if( !g_supportsPPTHTML ) return
-	if( IsWin("PPTSld") && slideId )
-		parent.base.SldUpdated(slideId)
-	self.focus(); 
-
-}
-var hasNarration = false;
-function _RSW()
-{
-	if( !g_supportsPPTHTML || IsNts() ||
-	  ( !g_scaleInFrame && (( window.name != "PPTSld" ) ) ) )
-		return
-
-	cltWidth=document.body.clientWidth
-	cltHeight=document.body.clientHeight
-	factor=(1.0*cltWidth)/g_origW
-	if( cltHeight < g_origH*factor )
-		factor=(1.0*cltHeight)/g_origH
-
-	newSize = g_origSz * factor
-	if( newSize < 1 ) newSize=1
-
-	s=SlideObj.style
-	s.fontSize=newSize+"px"
-	s.posWidth=g_origW*factor
-	s.posHeight=g_origH*factor
-	s.posLeft=(cltWidth-s.posWidth)/2
-	s.posTop=(cltHeight-s.posHeight)/2
-
-	if ( hasNarration ) {
-		obj = document.all.NSPlay.style;
-		mySld = document.all.SlideObj.style;
-		obj.position = 'absolute';
-		obj.posTop = mySld.posTop + mySld.posHeight - 20;
-		obj.posLeft = mySld.posLeft + mySld.posWidth - 20;
-	}
-	if( g_scaleHyperlinks )
-		ScaleHyperlinks( factor );	
-}
-function IsMac() {
-	return (window.navigator.platform.indexOf("Mac") >= 0 );
-}
-
-function HitOK( evt ) {
-	//Nav Only function
-	return (evt.which == 1 || (IsMac() && evt.which == 3) );
-}
-function _KPH(event)
-{ 
-
-  if ( parent.base.msie < 0 )  {
-    
-    	if ( ( (event.target.name && event.target.name == "hasMap" ) || (event.target.href && event.target.href != "") ) && parent.g_docTable[0].type != "jpeg" && HitOK( event )  ) {
-    		return; /* to make hyperlinks in fullscreen mode traversable */
-    	}
-	if( IsContextMenu() )
-		return parent.KPH(event);
-  	if ( parent.IsFullScrMode()  && event.which == 27 )
-  		parent.base.CloseFullScreen();
-  	else if ( parent.base.IsFullScrMode() && ( (!IsMac() && event.which == 3) || ( IsMac() && (event.modifiers & Event.CONTROL_MASK) && event.which == 1 ) ) )
-  		return parent.KPH(event);
-  	else if( (event.which == 32) ||  (event.which == 13) || HitOK( event )  ) {
-	    if( window.name == "PPTSld" )
-	      parent.PPTSld.DocumentOnClick();
-	    else
-	      parent.M_GoNextSld();
-      }	
-      else if ( parent.IsFullScrMode() && ((event.which == 78)  || (event.which == 110) || (event.which == 29) || (event.which == 31) || (event.which == 12)) )
-  		parent.M_GoNextSld();
-      else if ( parent.IsFullScrMode() && ( (event.which == 80)  || (event.which == 112) || (event.which == 30) || (event.which == 28) || (event.which == 11) || (event.which == 8)) )
-  		parent.M_GoPrevSld();
-
-      return;
-   }
-  	
-  if( IsNts() ) return;
-
-  if(parent.IsFullScrMode()  && event.keyCode == 27 && !parent.HideMenu() )
-    parent.base.CloseFullScreen();
-  else if( (event.keyCode == 32) || (event.keyCode == 13) )
-  {
-    if( window.name == "PPTSld" )
-      parent.PPTSld.DocumentOnClick();
-   else
-      parent.M_GoNextSld();
-  }
-  else if ( parent.IsFullScrMode() && ((event.keyCode == 78)  || (event.keyCode == 110)) )
-  	parent.M_GoNextSld();
-  else if ( parent.IsFullScrMode() && ((event.keyCode == 80)  || (event.keyCode == 112)) )
-  	parent.M_GoPrevSld();
-}
-
-function DocumentOnClick(event)
-{
-		if ( g_doAdvOnClick && !parent.IsFullScrMode() ) {
-			parent.base.TP_GoToNextSld();	
-			return;
-		}
-		
-	if ( parent.base.msie < 0 ) 
-	{
-		if( ( g_allowAdvOnClick  && parent.IsFullScrMode() ) || g_doAdvOnClick ||
-		    (event && ( (event.which == 32) || (event.which == 13) ) ) )
-			parent.M_GoNextSld();
-			return;
-	}		
-	if( IsNts() || (parent.IsFullScrMode() && parent.HideMenu() ) ) return;
-	if( ( g_allowAdvOnClick && parent.IsFullScrMode() ) || g_doAdvOnClick ||
-	    (event && ( (event.keyCode==32) || (event.keyCode == 13) ) ) )
-		parent.M_GoNextSld();
-}
-

-
-var g_supportsPPTHTML = SupportsPPTHTML(), g_scaleInFrame = true, gId="", g_bgSound="",
-    g_scaleHyperlinks = false, g_allowAdvOnClick = true, g_showInBrowser = false, g_doAdvOnClick = false;
-
- var g_showAnimation = 0;
-var g_hasTrans = false, g_autoTrans = false, g_transSecs = 0;
-var g_animManager = null;
-
-var ENDSHOW_MESG="End of slide show, click to exit.", SCREEN_MODE="Frames", gIsEndShow=0, NUM_VIS_SLDS=18, SCRIPT_HREF="script.js", FULLSCR_HREF="fullscreen.htm";
-var gCurSld = gPrevSld = 1, g_offset = 0, gNtsOpen = gHasNts = gOtlTxtExp = gNarrationPaused = false, gOtlOpen = true
-window.gPPTHTML=SupportsPPTHTML()
-var g_hideNav = 0;
-function UpdNtsPane(){ PPTNts.location.replace( MHTMLPrefix+GetHrefObj( gCurSld ).mNtsHref ) }
-function UpdNavPane( sldIndex ){ if(gNavLoaded) PPTNav.UpdNav() }
-function UpdOtNavPane(){ if(gOtlNavLoaded) PPTOtlNav.UpdOtlNav() }
-function UpdOtlPane(){ if(gOtlLoaded) PPTOtl.UpdOtl() }
-function SetHasNts( fVal )
-{
-	if( gHasNts != fVal ) {
-		gHasNts=fVal
-		UpdNavPane()
-	}
-}
-
-function ToggleVNarration()
-{
-	if ( base.msie < 0 ) {
-		PPTSld.ToggleSound( false, PPTSld.document.NSPlay );
-		return;
-	}
-	
-	rObj=PPTSld.document.all("NSPlay")
-	if( rObj ) {
-		if( gNarrationPaused )
-			rObj.Play()
-		else
-			rObj.Pause()
-
-		gNarrationPaused=!gNarrationPaused
-	}
-}
-
-function PrevSldViewed(){ GoToSld( GetHrefObj(gPrevSld).mSldHref ) }
-function HasPrevSld() { return ( gIsEndShow || ( g_currentSlide != 1 && GetHrefObj( g_currentSlide-1 ).mVis == 1 )||( GetCurrentSlideNum() > 1 ) ) }
-function HasNextSld() { return (GetCurrentSlideNum() != GetNumSlides()) }
-function StartEndShow()
-{
-//	g_hideNav = 1;
-//	PPTNav.location.reload();
-	if( PPTSld.event ) PPTSld.event.cancelBubble=true
-
-	doc=PPTSld.document
-	doc.open()
-	doc.writeln('<html><head><script > /*defer>*/ g_ctxmenu = 0; ' +
-	'if( parent.base.msie < 0 )  { document.captureEvents(Event.KEYPRESS); document.captureEvents(Event.MOUSEDOWN); document.onkeypress = _KPH; document.onmousedown = _KPH; } ' +
-	'function DocumentOnClick(event) { return _KPH(event); }  function IsContextMenu() { return (g_ctxmenu ==1); } ' +
-	'function _KPH(event)' +
-	'{  ' +
-	'if ( parent.base.msie < 0  && (parent.IsFullScrMode() ) && event ) { if ( (!parent.IsMac() && event.which == 3) || ( parent.IsMac() && (event.modifiers & Event.CONTROL_MASK) && event.which == 1 ) )  { return parent.KPH(event); } ' + 
-	' else if (event.which == 27 || event.which == 32 || event.which == 13 || parent.HitOK( event ) || (event.which == 78)  || (event.which == 110) || (event.which == 29) || (event.which == 31) || (event.which == 12) ) { if ( IsContextMenu() ) { return parent.KPH(event); }  parent.base.CloseFullScreen(); return; } ' +
-	' else if ( (event.which == 80)  || (event.which == 112) || (event.which == 30) || (event.which == 28) || (event.which == 11) || (event.which == 8) ) { parent.M_GoPrevSld(); } } ' +
-	'if( parent.HideMenu() ) return; if( (parent.IsFullScrMode() ) && event) { if ( (event.keyCode==27 || event.keyCode == 13 || event.keyCode==32 || event.type=="click" ) || (event.keyCode == 78)  || (event.keyCode == 110) ) { parent.base.CloseFullScreen(); }' +
-	' else if ( (event.keyCode == 80)  || (event.keyCode == 112) ) { parent.M_GoPrevSld(); } } } function Unload() { parent.gIsEndShow=0; } function SetupEndShow() {    if ( !parent.IsFullScrMode() ) { return; } else { parent.PPTNav.location.reload(); }  parent.gIsEndShow=1; if ( parent.g_docTable[0].type != "jpeg" ) { if ( parent.base.msie < 0 ) {parent.createCM(); } document.oncontextmenu=parent._CM; } }</script></head><body scroll=\"no\" onclick=\"DocumentOnClick(event)\" onkeypress=\"_KPH(event)\" bgcolor=\"black\" onload=\"SetupEndShow()\" onunload=\"Unload()\"><center><p><font face=Tahoma color=white size=2><br><b>' + ENDSHOW_MESG + '</b></font></p></center></body></html>')
-	doc.close()
-}
-function SetSldVisited(){ gDocTable[gCurSld-1].mVisited=true }
-function IsSldVisited(){ return gDocTable[gCurSld-1].mVisited }
-function hrefList( sldHref, visible, sldIdx )
-{
-	this.mSldHref= this.mNtsHref = sldHref
-	this.mSldIdx = sldIdx
-	this.mOrigVis= this.mVis = visible
-	this.mVisited= false
-}
-var gDocTable = new Array(

-   new hrefList("slide0001.htm", 1, 1),

-   new hrefList("slide0002.htm", 1, 2),

-   new hrefList("slide0003.htm", 1, 3),

-   new hrefList("slide0004.htm", 1, 4),

-   new hrefList("slide0005.htm", 1, 5),

-   new hrefList("slide0006.htm", 1, 6),

-   new hrefList("slide0007.htm", 1, 7),

-   new hrefList("slide0008.htm", 1, 8),

-   new hrefList("slide0009.htm", 1, 9),

-   new hrefList("slide0010.htm", 1, 10),

-   new hrefList("slide0011.htm", 1, 11),

-   new hrefList("slide0012.htm", 1, 12),

-   new hrefList("slide0013.htm", 1, 13),

-   new hrefList("slide0014.htm", 1, 14),

-   new hrefList("slide0015.htm", 1, 15),

-   new hrefList("slide0016.htm", 1, 16),

-   new hrefList("slide0017.htm", 1, 17),

-   new hrefList("slide0018.htm", 1, 18)

-);

-
-function ImgBtn( oId,bId,w,action )
-{
-	var t=this
-	t.Perform    = _IBP
-	t.SetActive  = _IBSetA
- t.SetInactive= _IBSetI
-	t.SetPressed = _IBSetP
-	t.SetDisabled= _IBSetD
-	t.Enabled    = _IBSetE
-	t.ChangeIcon = null
-	t.UserAction = action
-	t.ChgState   = _IBUI
-	t.mObjId   = oId
-	t.mBorderId= bId
-	t.mWidth   = w
-	t.mIsOn    = t.mCurState = 0
-}
-function _IBSetA()
-{
-	if( this.mIsOn ) {
-		obj=this.ChgState( gHiliteClr,gShadowClr,2 )
-		obj.style.posTop=0
-	}
-}
-function _IBSetI()
-{
-	if( this.mIsOn ) {
-		obj=this.ChgState( gFaceClr,gFaceClr,1 )
-		obj.style.posTop=0 
-	}
-}
-function _IBSetP()
-{
-	if( this.mIsOn ) {
-		obj=this.ChgState( gShadowClr,gHiliteClr,2 )
-		obj.style.posLeft+=1; obj.style.posTop+=1
-	}
-}
-function _IBSetD()
-{  
-	obj=this.ChgState( gFaceClr,gFaceClr,0 )
-	obj.style.posTop=0 
-}
-function _IBSetE( state )
-{
-	var t=this
-	GetObj( t.mBorderId ).style.visibility="visible"
-	if( state != t.mIsOn ) {
-		t.mIsOn=state
-		if( state )
-			t.SetInactive()
-		else
-			t.SetDisabled()
-	}
-}
-function _IBP()
-{
-	var t=this
-	if( t.mIsOn ) {
-		if( t.UserAction != null )
-			t.UserAction()
-		if( t.ChangeIcon ) {
-			obj=GetObj(t.mObjId)
-			if( t.ChangeIcon() )
-				obj.style.posLeft=obj.style.posLeft+(t.mCurState-4)*t.mWidth
-			else
-				obj.style.posLeft=obj.style.posLeft+(t.mCurState-0)*t.mWidth
-		}
-		t.SetActive()
-	}  
-}
-function _IBUI( clr1,clr2,nextState )
-{
-	var t=this
-	SetBorder( GetObj( t.mBorderId ),clr1,clr2 )
-	obj=GetObj( t.mObjId )
-	obj.style.posLeft=obj.style.posLeft+(t.mCurState-nextState)*t.mWidth-obj.style.posTop
-	t.mCurState=nextState
-	return obj
-}
-function TxtBtn( oId,oeId,action,chkState )
-{
-	var t=this
-	t.Perform    = _TBP
-	t.SetActive  = _TBSetA
-	t.SetInactive= _TBSetI
-	t.SetPressed = _TBSetP
-	t.SetDisabled= _TBSetD
-	t.SetEnabled = _TBSetE
-	t.GetState   = chkState
-	t.UserAction = action
-	t.ChgState   = _TBUI
-	t.mObjId      = oId
-	t.m_elementsId= oeId
-	t.mIsOn       = 1
-}
-function _TBSetA()
-{
-	var t=this
-	if( t.mIsOn && !t.GetState() )
-		t.ChgState( gHiliteClr,gShadowClr,0,0 )
-}
-function _TBSetI()
-{
-	var t=this
-	if( t.mIsOn && !t.GetState() )
-		t.ChgState( gFaceClr,gFaceClr,0,0 )
-}
-function _TBSetP()
-{
-	if( this.mIsOn )
-		this.ChgState( gShadowClr,gHiliteClr,1,1 )
-}
-function _TBSetD()
-{   
-	this.ChgState( gFaceClr,gFaceClr,0,0 )
-	this.mIsOn = 0
-}
-function _TBSetE()
-{
-	var t=this
-	if( !t.GetState() )
-		t.ChgState( gFaceClr,gFaceClr,0,0 )
-	else
-		t.ChgState( gShadowClr,gHiliteClr,1,1 )
-	t.mIsOn = 1
-}
-function _TBP()
-{
-	var t=this
-	if( t.mIsOn ) { 
-		if( t.UserAction != null )
-			t.UserAction()
-		if( t.GetState() )
-			t.SetPressed()
-		else
-			t.SetActive()
-	}  
-}
-function _TBUI( clr1,clr2,lOffset,tOffset )
-{
-	SetBorder( GetObj( this.mObjId ),clr1,clr2 )
-	Offset( GetObj( this.m_elementsId ),lOffset,tOffset )
-}
-function GetObj( objId ){ return document.all.item( objId ) }
-function Offset( obj, top, left ){ obj.style.top=top; obj.style.left=left }
-function SetBorder( obj, upperLeft, lowerRight )
-{
-	s=obj.style;
-	s.borderStyle      = "solid"
-	s.borderWidth      = 1 
-	s.borderLeftColor  = s.borderTopColor = upperLeft
-	s.borderBottomColor= s.borderRightColor = lowerRight
-}
-function GetBtnObj(){ return gBtnArr[window.event.srcElement.id] }
-function BtnOnOver(){ b=GetBtnObj(); if( b != null ) b.SetActive() }
-function BtnOnDown(){ b=GetBtnObj(); if( b != null ) b.SetPressed() }
-function BtnOnOut(){ b=GetBtnObj(); if( b != null ) b.SetInactive() }
-function BtnOnUp()
-{
-	b=GetBtnObj()
-	if( b != null )
-		b.Perform()
-	else
-		Upd()
-}
-function GetNtsState(){ return parent.gNtsOpen }
-function GetOtlState(){ return parent.gOtlOpen }
-function GetOtlTxtState(){ return parent.gOtlTxtExp }
-function NtsBtnSetFlag( fVal )
-{
-	s=document.all.item( this.m_flagId ).style
-	s.display="none"
-	if( fVal )
-		s.display=""
-	else
-		s.display="none"
-}
-
-var gHiliteClr="THREEDHIGHLIGHT",gShadowClr="THREEDSHADOW",gFaceClr="THREEDFACE"
-var gBtnArr = new Array()
-gBtnArr["nb_otl"] = new TxtBtn( "nb_otl","nb_otlElem",parent.ToggleOtlPane,GetOtlState )
-gBtnArr["nb_nts"] = new TxtBtn( "nb_nts","nb_ntsElem",parent.ToggleNtsPane,GetNtsState )
-gBtnArr["nb_prev"]= new ImgBtn( "nb_prev","nb_prevBorder",30,parent.GoToPrevSld )
-gBtnArr["nb_next"]= new ImgBtn( "nb_next","nb_nextBorder",30,parent.GoToNextSld )
-gBtnArr["nb_sldshw"]= new ImgBtn( "nb_sldshw","nb_sldshwBorder",18,parent.FullScreen )
-gBtnArr["nb_voice"]  = new ImgBtn( "nb_voice","nb_voiceBorder",18,parent.ToggleVNarration )
-gBtnArr["nb_otlTxt"]= new ImgBtn( "nb_otlTxt","nb_otlTxtBorder",23,parent.ToggleOtlText )
-gBtnArr["nb_nts"].m_flagId= "notes_flag"
-gBtnArr["nb_nts"].SetFlag = NtsBtnSetFlag
-gBtnArr["nb_otlTxt"].ChangeIcon= GetOtlTxtState
-var sNext="Next",sPrev="Previous",sEnd="End Show",sFont="Arial", alwaysOn = false
-function ShowMenu()
-{
-	BuildMenu();
-	var doc=PPTSld.document.body,x=PPTSld.event.clientX+doc.scrollLeft,y=PPTSld.event.clientY+doc.scrollTop
-
-	m = PPTSld.document.all.item("ctxtmenu")
-	m.style.pixelLeft=x
-	if( (x+m.scrollWidth > doc.clientWidth)&&(x-m.scrollWidth > 0) )
-		m.style.pixelLeft=x-m.scrollWidth
-
-	m.style.pixelTop=y
-	if( (y+m.scrollHeight > doc.clientHeight)&&(y-m.scrollHeight > 0) )
-		m.style.pixelTop=y-m.scrollHeight
-
-	m.style.display=""
-}
-function _CM()
-{
-	if( !parent.IsFullScrMode() && !alwaysOn) return;
-	
-	if(!PPTSld.event.ctrlKey) {
-		ShowMenu()
-		return false
-	} else
-		HideMenu()
-}
-
-function processNavKPH(event) {
-   if ( PPTSld &&  (event.keyCode != 13 || !event.srcElement.href || event.srcElement.href == "" ) )
-	return PPTSld._KPH(event);
-}
-function processNavClick() {
-	HideMenu();
-	return true;
-}
-function BuildMenu()
-{
-	if( PPTSld.document.all.item("ctxtmenu") ) return
-
-	var mObj=CreateItem( PPTSld.document.body )
-mObj.id="ctxtmenu"
-	var s=mObj.style
-	s.position="absolute"
- s.cursor="default"
-	s.width="100px"
-	SetCMBorder(mObj,"menu","black")
-
-	var iObj=CreateItem( mObj )
-	SetCMBorder( iObj, "threedhighlight","threedshadow" )
-	iObj.style.padding=2
-	if ( self.IsFullScrMode() ) {
-		CreateMenuItem( iObj,sNext,M_GoNextSld,M_True )
-		CreateMenuItem( iObj,sPrev,M_GoPrevSld,M_HasPrevSld )
-	}
-	else {
-		CreateMenuItem( iObj,sNext, base.TP_GoToNextSld, base.HasNextSld )
-		CreateMenuItem( iObj,sPrev,base.GoToPrevSld, base.HasPrevSld )
-	}
-	var sObj=CreateItem( iObj )
-	SetCMBorder(sObj,"menu","menu")
-	var s=sObj.style
-	s.borderTopColor="threedshadow"
-	s.borderBottomColor="threedhighlight"
-	s.height=1
-	s.fontSize="0px"
-	if ( self.IsFullScrMode() ) 
-		CreateMenuItem( iObj,sEnd,M_End,M_True )
-	else
-		CreateMenuItem( iObj,sEnd,M_End,M_False )
-}
-function Highlight() { ChangeClr("activecaption","threedhighlight") }
-function Deselect() { ChangeClr("threedface","menutext") }
-function Perform()
-{
-	e=PPTSld.event.srcElement
-	if( e.type=="menuitem" && e.IsActive() )
-		e.Action()
-	else
-		PPTSld.event.cancelBubble=true
-}
-function ChangeClr( bg,clr )
-{
-	e=PPTSld.event.srcElement
-	if( e.type=="menuitem" && e.IsActive() ) {
-		e.style.backgroundColor=bg
-		e.style.color=clr
-	}
-}
-
-function M_HasPrevSld() { return( base.HasPrevSld() ) }
-function M_GoNextSld() { 
-	base.SetFSMode(1);
-	if( gIsEndShow )
-		 M_End();
-	else {
-		if ( base.HasNextSld() )
-		 base.GoToNextSld();
-		else if (  base.EndSlideShow ) {
-		 StartEndShow();
-		 gIsEndShow = 1;
-		 
-		 PPTNav.location.reload();
-		}
-		else
-			base.CloseFullScreen();
-	}
-}
-function M_GoPrevSld() {
-	base.SetFSMode(1);
-	g_hideNav = 0;
-	if( gIsEndShow ) { 
-		gIsEndShow = 0;
-		if ( base.msie > 0 && IsMac() ) 
-			ChangeFrame( SLIDE_FRAME, GetHrefObj( g_currentSlide ).m_slideHref );
-		else	
-		PPTSld.history.back();
-		
-		 PPTNav.location.reload();
-		if( PPTSld.event )
-			 PPTSld.event.cancelBubble=true;
-	}
-	else
-	 	base.GoToPrevSld();
-}
-function M_True() { return true }
-function M_False() { return false }
-
-function M_End() {
-	base.CloseFullScreen();
-	/*PPTSld.event.cancelBubble=true;
-	window.close( self )*/
-}
-
-function CreateMenuItem( node,text,action,eval )
-{
-	var e=CreateItem( node )
-	e.type="menuitem"
-	e.Action=action
-	e.IsActive=eval
-	e.innerHTML=text
-
-	if( !e.IsActive() )
-		e.style.color="threedshadow"
-	e.onclick=Perform
-	e.onmouseover=Highlight
-	e.onmouseout=Deselect
-	s=e.style;
-	s.fontFamily=sFont
-	s.fontSize="8pt"
-	s.paddingLeft=2
-}
-function CreateItem( node )
-{
-	var elem=PPTSld.document.createElement("DIV")
-	node.insertBefore( elem )
-	return elem
-}
-function SetCMBorder( o,ltClr,rbClr )
-{
-	var s=o.style
-	s.backgroundColor="menu"
-	s.borderStyle="solid"
-	s.borderWidth=1
-	s.borderColor=ltClr+" "+rbClr+" "+rbClr+" "+ltClr
-}
-
-/* netscape context menu */
-g_ctxmenu = 0;
-function setRect( obj, X, Y, W, H ) {
-	obj.top = Y;
-	obj.left = X;
-	obj.clip.top = 0;
-	obj.clip.left = 0;
-	obj.clip.bottom = H;
-	obj.clip.right = W;
-}	
-
-function KPH(event) {
-	if ( ! base.IsFullScrMode() && !alwaysOn )
-		return true;
-		
-	if ( (!IsMac() &&event.which == 3) || ( IsMac() && (event.modifiers & Event.CONTROL_MASK) && event.which == 1 )   ) {
-		PPTSld.g_ctxmenu = 1;
-		PPTSld.stripUobj.visibility = "show";
-		PPTSld.stripDobj.visibility = "show";
-		PPTSld.shadeUobj.visibility = "show";
-		PPTSld.shadeDobj.visibility = "show";
-		PPTSld.panelobj.visibility = "show";
-		PPTSld.Fobj.visibility = "show";
-		PPTSld.Bobj.visibility = "show";
-		PPTSld.Eobj.visibility = "show";
-
-		setRect(PPTSld.shadeUobj, event.pageX-2, event.pageY-2, 82, 67 );		
-		setRect(PPTSld.shadeDobj, event.pageX, event.pageY, 82, 67 );		
-		setRect(PPTSld.panelobj, event.pageX, event.pageY, 80, 65 );		
-		setRect(PPTSld.Fobj, event.pageX, event.pageY, 80, 20 );
-		setRect(PPTSld.Bobj, event.pageX, event.pageY+20, 80, 20 );
-		setRect(PPTSld.stripUobj, event.pageX, event.pageY+41, 80, 1 );		
-		setRect(PPTSld.stripDobj, event.pageX, event.pageY+43, 80, 1 );		
-		setRect(PPTSld.Eobj, event.pageX, event.pageY+45, 80, 20 );
-		return false;
-	}
-	if ( HitOK( event ) ) {
-	PPTSld.g_ctxmenu = 0;
-		PPTSld.stripUobj.visibility = "hide";
-		PPTSld.stripDobj.visibility = "hide";
-		PPTSld.shadeUobj.visibility = "hide";
-		PPTSld.shadeDobj.visibility = "hide";
-		PPTSld.panelobj.visibility = "hide";
-		PPTSld.Fobj.visibility = "hide";
-		PPTSld.Bobj.visibility = "hide";
-		PPTSld.Eobj.visibility = "hide";
-	}
-	return true;
-}
-
-function overMe() {
-	this.bgColor = "blue";
-}
-
-function outMe() {
-	this.bgColor = "#AAAAAA"; 
-}
-
-function makeElement( whichEl, whichContainer ) {
-	if ( arguments.length == 1 ) {
-		whichContainer = PPTSld;
-	}
-	tmp = new Layer(100,whichContainer);
-	eval( whichEl + " = tmp" );
-	return eval(whichEl);
-}
-
-function initMe( obj, clr, text ) {
-	obj.bgColor = clr;
-//	obj.document.write("<a href='javascript:return false'>" + text + "</a>");
-	obj.document.write( "<font size=2 face=Arial " );
-	if ( !M_HasPrevSld() && (obj == PPTSld.Bobj )  ) {
-		obj.document.write( " color='#808080' " );
-	}
-	else {
-		obj.onmouseover = overMe;
-		obj.onmouseout = outMe;
-	}	
-	obj.document.write( " > &nbsp " + text +"</font> <layer top=0 left=0 width=100 height=40 ></layer>");
-	obj.document.close();
-	obj.captureEvents(Event.CLICK);
-	obj.color = "black";		
-}
-
-function createCM() {
-  if ( base.IsFullScrMode() ) {
-  	var clr = "#AAAAAA";
-	PPTSld.shadeUobj = makeElement("SHADEU");
-	PPTSld.shadeDobj = makeElement("SHADED");
-	PPTSld.panelobj = makeElement("PANEL");
-	PPTSld.stripUobj = makeElement("STRIPU");
-	PPTSld.stripDobj = makeElement("STRIPD");
-	PPTSld.shadeUobj.bgColor = "#BBBBBB";
-	PPTSld.shadeDobj.bgColor = "#888888";
-	PPTSld.stripUobj.bgColor = "#777777";
-	PPTSld.stripDobj.bgColor = "#CCCCCC";
-	PPTSld.panelobj.bgColor = clr;
-	PPTSld.Fobj = makeElement("Next");
-	PPTSld.Bobj = makeElement("Previous");
-	PPTSld.Eobj = makeElement("EndShow");
-	initMe( PPTSld.Fobj, clr, "Next" );
-	PPTSld.Fobj.onclick = M_GoNextSld;
-
-	initMe( PPTSld.Bobj, clr, "Previous" );
-	PPTSld.Bobj.onclick = M_GoPrevSld;
-
-	initMe( PPTSld.Eobj, clr, "End Show");
-	PPTSld.Eobj.onclick = base.CloseFullScreen;
-  }
-}
-
-function IsContextMenu() {
-	return (g_ctxmenu == 1)
-}
-var g_notesTable = new Array()

-var g_hiddenSlide = new Array()

-makeSlide( 0,1,1);

-makeSlide( 1,1,1);

-makeSlide( 2,1,1);

-makeSlide( 3,1,1);

-makeSlide( 4,1,1);

-makeSlide( 5,1,1);

-makeSlide( 6,1,1);

-makeSlide( 7,1,1);

-makeSlide( 8,1,1);

-makeSlide( 9,1,1);

-makeSlide( 10,1,1);

-makeSlide( 11,1,1);

-makeSlide( 12,1,1);

-makeSlide( 13,1,1);

-makeSlide( 14,1,1);

-makeSlide( 15,1,1);

-makeSlide( 16,0,1);

-makeSlide( 17,1,1);

-
-var END_SHOW_HREF         = "endshow.htm",
-    OUTLINE_EXPAND_HREF   = "outline_expanded.htm",
-    OUTLINE_COLLAPSE_HREF = "outline_collapsed.htm",
-    OUTLINE_NAVBAR_HREF  = "outline_navigation_bar.htm",
-    NAVBAR_HREF           = "navigation_bar.htm",
-    BLANK_NOTES_HREF	  = "blank_notes.htm",
-    NUM_VISIBLE_SLIDES    = 18,
-    SIMPLE_FRAMESET       = 0,
-    SLIDE_FRAME	        = "PPTSld",
-    NOTES_FRAME           = "PPTNts",
-    OUTLINE_FRAME         = "PPTOtl",
-    OUTLINE_NAVBAR_FRAME  = "PPTOtlNav",
-    NAVBAR_FRAME          = "PPTNav",
-	MAIN_FRAME			  = "MainFrame",
-	FS_NAVBAR_HREF		  = "fs_navigation_bar.htm",
-	isIEFiles 			= 2,
-	isNAVFiles 			= 8,
-	isFLATFiles 			= 16,
-	includeNotes			= 1,
-	PPTPRESENTATION     = 1;
-var  INITSLIDENUM   = 1;
-
-var EndSlideShow = 0;
-var g_outline_href = OUTLINE_COLLAPSE_HREF;	
-var g_fullscrMode = 0;	
-var FSWin = null;
-var gtmpstr = document.location.href;
-var g_baseURL = gtmpstr.substr(0, gtmpstr.lastIndexOf("/") ) + "/" + "webqtl_demo2_part1.ppt_files";
-var g_showoutline = 1;
-var g_shownotes = includeNotes;
-var g_currentSlide = INITSLIDENUM, g_prevSlide = INITSLIDENUM;
-var saveFSSlideNum = saveTPSlideNum = g_currentSlide;
-var saveFSprevSlide = saveTPprevSlide = g_prevSlide;
-var g_slideType="ie";
-var appVer = navigator.appVersion;
-var msie = appVer.indexOf( "MSIE " ) + appVer.indexOf( "Internet Explorer " );
-var isnav = ( navigator.appName.indexOf( "Netscape" ) >= 0 );
-var msieWin31 = (appVer.indexOf( "Windows 3.1" ) > 0);
-var ver = 0;
-var g_done = 0;
-var g_prevotlobjidx = 0;
-var g_ShowFSDefault = 0;
-var g_lastVisibleSld = 1;
-var g_allHidden = false;
-function IsIE() {
-	return (msie >= 0 );
-}
-
-function IsNav() {
-	return (isnav);
-}
-var msiePos = appVer.indexOf( "MSIE " );
-var inexPos = appVer.indexOf( "Internet Explorer " );
-if ( msiePos >= 0 )
-  ver = parseFloat( appVer.substring( msiePos+5, appVer.indexOf ( ";", msiePos ) ) );
-else if( inexPos >= 0 )
-  ver=parseFloat( appVer.substring( inexPos+18, appVer.indexOf(";",inexPos) ) )
-else
-  ver = parseInt( appVer );
-
-//var g_supportsPPTHTML = 0; //!msieWin31 && ( ( msie >= 0 && ver >= 3.02 ) || ( msie < 0 && ver >= 3 ) );
-
-function GetCurrentSlideNum()
-{   
-  obj = GetHrefObj( g_currentSlide );
-  if ( GetHrefObj( g_currentSlide ).m_origVisibility == 1 )
-    return obj.m_slideIdx;
-  else   
-    return g_currentSlide;
-}
-
-function GetNumSlides()
-{
-  if ( GetHrefObj( g_currentSlide ).m_origVisibility == 1 )
-    return NUM_VISIBLE_SLIDES;
-  else
-    return g_docTable.length;
-}
-
-function GetHrefObj( slideIdx )
-{ return g_docTable[slideIdx - 1];
-}
-
-function GetSlideNum( slideHref )
-{
-  for (ii=0; ii<g_docTable.length; ii++) {
-    if ( g_docTable[ii].m_slideHref == slideHref )
-      return ii+1;
-  }
-  return 1;
-}
-
-function GoToNextSld()
-{   
-  targetIdx = g_currentSlide + 1;
-  if ( GetHrefObj( targetIdx-1 ).m_origVisibility == 0 ) {
-    if ( targetIdx<=g_docTable.length ) {
-      obj = GetHrefObj( targetIdx );
-      obj.m_visibility = 1;
-      GoToSld( obj.m_slideHref );
-    }
-  }
-  else {
-    obj = GetHrefObj( targetIdx );
-    while ( obj && ( obj.m_origVisibility == 0 ) && ( targetIdx<=g_docTable.length ) )
-      obj = GetHrefObj( targetIdx++ );
-    if( obj && obj.m_origVisibility )
-      GoToSld( obj.m_slideHref );
-  }
-}
-
-function GoToPrevSld()
-{
-  targetIdx = g_currentSlide - 1;
-  if ( targetIdx > 0 ) {
-    obj = GetHrefObj( targetIdx );
-    while ( ( obj.m_visibility == 0 ) && ( targetIdx>0 ) )
-      obj = GetHrefObj( targetIdx-- );
-    GoToSld( obj.m_slideHref );
-  }
-}
-
-function GoToLast()
-{
-  targetIdx = g_docTable.length;
-  if ( targetIdx != g_currentSlide )
-    GoToSld( GetHrefObj( targetIdx ).m_slideHref );
-}
-
-function GoToFirst()
-{ GoToSld( GetHrefObj(1).m_slideHref );
-}
-
-function highlite() {
-	if ( IsFullScrMode() )
-		return;
-	index = GetCurrentSlideNum();
-	if ( !frames[MAIN_FRAME].frames[OUTLINE_FRAME] )
-		return;
-	if ( msie < 0 ) {
-		if ( g_prevotlobjidx != 0 ) {
-			eval( "otlobj = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.LAYERID" + g_prevotlobjidx );
-			otlobj.hidden = true;
-		}
-		else
-			index = GetCurrentSlideNum();
-		eval( "otlobj = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.LAYERID" + index );
-		otlobj.hidden = false;
-	
-		g_prevotlobjidx = index;
-		
-		return;
-	}
-	if ( !g_showoutline )
-		return;
-		
-		backclr = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.body.bgColor;
-		textclr = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.body.text;
-	if ( g_prevotlobjidx != 0 ) {
-		eval( "otlobj = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.all.p" + g_prevotlobjidx );
-		otlobj.style.backgroundColor = backclr;
-		otlobj.style.color = textclr;
-		otlobj.all.AREF.style.color = textclr;
-	}
-	else
-		index = GetCurrentSlideNum();
-	eval( "otlobj = frames[MAIN_FRAME].frames[OUTLINE_FRAME].document.all.p" + index );
-	otlobj.style.backgroundColor = textclr;
-	otlobj.style.color = backclr;
-	otlobj.all.AREF.style.color = backclr;
-	g_prevotlobjidx = index;
-}
-
-function ChangeFrame( frame, href )
-{
-if ( IsFramesMode() ) {
-  if ( NAVBAR_FRAME == frame || OUTLINE_NAVBAR_FRAME ==  frame ) {
-	    frames[frame].location.replace(href);
-  }
-  else if( ! ( ( OUTLINE_FRAME == frame && !g_showoutline)  || (NOTES_FRAME == frame && !g_shownotes ) ) ){
-	    frames[MAIN_FRAME].frames[frame].location.href = href;
-  }
- }
- else {
- 	if ( frame == NAVBAR_FRAME || frame == SLIDE_FRAME ) {
- 	  if( frame == NAVBAR_FRAME ) {
- 	  	 href = FS_NAVBAR_HREF;
- 	  	
- 	  }	    
- 	  if( frame == NAVBAR_FRAME ) 
-	      window.frames[frame].location.replace(href);
-	 else
-	      window.frames[frame].location.href = href;
- 	}
- }
-  
-}
-
-function shutEventPropagation() {
-	if ( IsNav() )
-		return;
-		
-	var slideFrame;
-	if ( IsFramesMode() )
-		slideFrame = frames[MAIN_FRAME].frames[SLIDE_FRAME];
-	else
-		slideFrame = window.frames[SLIDE_FRAME];
-	if ( slideFrame.event ) 
-		slideFrame.event.cancelBubble=true;
-}
-				
-function GoToSld( slideHref )
-{
-  shutEventPropagation();
-  if ( slideHref != GetHrefObj( g_currentSlide ).m_slideHref || g_slideType != GetHrefObj( g_currentSlide ).type) {
-    g_prevSlide = g_currentSlide;
-    g_currentSlide = GetSlideNum( slideHref );
-	g_slideType = GetHrefObj( g_currentSlide ).type;
-    obj = GetHrefObj( g_currentSlide );
-    obj.m_visibility = 1;
-    ChangeFrame( SLIDE_FRAME, slideHref );
-    if( !SIMPLE_FRAMESET )
-      ChangeFrame( NOTES_FRAME, obj.m_notesHref );
-    ChangeFrame( NAVBAR_FRAME, NAVBAR_HREF );
-	    
-  }
-}
-
-function PrevSldViewed()
-{ GoToSld( GetHrefObj( g_prevSlide ).m_slideHref );
-}
-
-function NoHref() {}
-
-function ExpandOutline( )
-{ 
- g_outline_href = OUTLINE_EXPAND_HREF;
- ChangeFrame( OUTLINE_FRAME, OUTLINE_EXPAND_HREF );
- frames[OUTLINE_NAVBAR_FRAME].location.replace( OUTLINE_NAVBAR_HREF);
-}
-
-function CollapseOutline()
-{ 
- g_outline_href = OUTLINE_COLLAPSE_HREF;
- ChangeFrame( OUTLINE_FRAME, OUTLINE_COLLAPSE_HREF );
- frames[OUTLINE_NAVBAR_FRAME].location.replace( OUTLINE_NAVBAR_HREF);
- }
-
-function SlideUpdated( id )
-{
-  if ( id != GetHrefObj( g_currentSlide ).m_slideHref )  {
-    g_prevSlide = g_currentSlide;
-    g_currentSlide = GetSlideNum( id );
-    obj = GetHrefObj( g_currentSlide );
-    if( !SIMPLE_FRAMESET )
-      ChangeFrame( NOTES_FRAME, obj.m_notesHref );
-    ChangeFrame( NAVBAR_FRAME, NAVBAR_HREF );
-  }
-}
-
-function hrefList( slideHref, notesHref, visible, slideIdx, type )
-{
-  this.m_slideHref  = slideHref;
-  this.m_notesHref  = notesHref;
-  this.m_navbarHref = NAVBAR_HREF;
-  this.m_origVisibility = visible;
-  this.m_visibility = visible;
-  this.m_slideIdx = slideIdx;
-  this.type = type;
-}
-
-function IsFullScrMode() {
-	return g_fullscrMode;
-}
-
-
-function IsFramesMode() {
-	return (1 - g_fullscrMode);
-}
-
-function SldUpdated( id )
-{
-  if ( ( id != GetHrefObj( g_currentSlide ).m_slideHref )  || ( g_currentSlide == g_lastVisibleSld ) ){
-    g_prevSlide = g_currentSlide;
-    g_currentSlide = GetSlideNum( id );
-    obj = GetHrefObj( g_currentSlide );
-    if( !SIMPLE_FRAMESET )
-      ChangeFrame( NOTES_FRAME, obj.m_notesHref );
-    ChangeFrame( NAVBAR_FRAME, NAVBAR_HREF );
-  }
-}
-
-function ToggleOutline() {
-	g_showoutline = 1 - g_showoutline;
-	writeMyFrame();
-}
-
-function ShowHideNotes() {
-	g_shownotes = 1 - g_shownotes;
-	writeMyFrame();
-}
-
-function writeMyFrame() {
-		SetFSMode(0);
-		obj = frames[MAIN_FRAME];
-		
-		var curslide = g_baseURL + "/" +  GetHrefObj( g_currentSlide ).m_slideHref;
-		var curnotes = g_baseURL + "/" +  GetHrefObj( g_currentSlide ).m_notesHref;
-		var otlhref = g_baseURL + "/" +  g_outline_href;
-		if ( msie < 0 ) {			
-		if ( ! g_showoutline && g_shownotes ) {
-			obj.document.write( '<HTML><HEAD><SCRIPT language=JavaScript src=' + g_baseURL + '/script.js></SCRIPT><SCRIPT> base = parent; <\/SCRIPT><\/HEAD> \
-				<frameset rows=\"*,20%\" id=\"frameset2\" > \
-				<frame src=\"' + curslide + '\" name=PPTSld marginheight=0 marginwidth=0> \
-				<frame src=\"' + curnotes + '\" name=PPTNts marginheight=0 marginwidth=0> \
-				</frameset> </html>' );
-		}
-		else if( g_showoutline && g_shownotes  ){
-			obj.document.write( '<HTML><HEAD><SCRIPT language=JavaScript src=' + g_baseURL + '/script.js></SCRIPT><SCRIPT> base = parent; <\/SCRIPT><\/HEAD> \
-				<frameset cols=\"20%,*\" id=\"frameset1\"> \
-				<frame src=\"' + otlhref + '\" name=PPTOtl> \
-				<frameset rows=\"*,20%\" id=\"frameset2\" > \
-				<frame src=\"' + curslide + '\" name=PPTSld marginheight=0 marginwidth=0> \
-				<frame src=\"' + curnotes + '\" name=PPTNts marginheight=0 marginwidth=0> \
-				</frameset> </frameset></html>' );
-		}		
-		else if ( !g_shownotes && !g_showoutline ) {
-			obj.document.write( '<HTML><HEAD><SCRIPT language=JavaScript src=' + g_baseURL + '/script.js></SCRIPT><SCRIPT> base = parent; <\/SCRIPT><\/HEAD> \
-				<frameset rows="*,0" frameborder=0 > \
-				<frame src=\"' + curslide + '\" name=PPTSld marginheight=0 marginwidth=0> \
-				</frameset> </html>' );
-		}
-		else if( !g_shownotes  && g_showoutline ) {
-			obj.document.write( '<HTML><HEAD><SCRIPT language=JavaScript src=' + g_baseURL + '/script.js></SCRIPT><SCRIPT> base = parent; <\/SCRIPT><\/HEAD> \
-				<frameset cols=\"20%,*\" id=\"frameset1\"> \
-				<frame src=\"' + otlhref + '\" name=PPTOtl> \
-				<frame src=\"' + curslide + '\" name=PPTSld marginheight=0 marginwidth=0> \
-				</frameset></html>' );
-		}
-		obj.document.close();
-		}
-		else {
-			if ( g_showoutline ) {
-				obj.PPTHorizAdjust.cols = "20%,*";
-				obj.PPTOtl.location.reload();
-			}
-			else {
-				obj.PPTHorizAdjust.cols = "0,*";
-			}
-			if ( g_shownotes ) {
-				obj.PPTVertAdjust.rows = "*,20%";
-				obj.PPTNts.location.href = curnotes;
-			}
-			else {
-				obj.PPTVertAdjust.rows = "*,0";
-			}
-		}
-		ChangeFrame( OUTLINE_NAVBAR_FRAME, OUTLINE_NAVBAR_HREF );
-}
-
-function FullScreen() {
-	g_done = 0;
-
-	
-	SetFSMode(1);
-	if ( msie >= 0 )
-		FSWin = window.open( g_baseURL + "/" + "fullscreen.htm", null, "fullscreen=yes");
-	else {
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0001.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0001.htm
deleted file mode 100755
index d17c2490..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0001.htm
+++ /dev/null
@@ -1,25 +0,0 @@
-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
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<meta name=Description content="Aug-15-05: GeneNetwork and WebQTL:">
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
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-LoadSld( gId );
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<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:.88%;left:3.31%;width:84.37%;height:9.89%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-277 0 -1";mso-margin-left-alt:232;
mso-text-indent-alt:0;position:absolute;top:0%;left:1.25%;width:97.95%;
height:100.0%'><span style='font-size:105%'><i>GeneNetwork and WebQTL:</i></span><span
style='font-size:68%;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

</div>

<div style='position:absolute;top:24.02%;left:5.82%;width:69.0%;height:50.7%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='position:absolute;top:0%;left:2.87%;width:97.12%;
height:71.08%'>

<div style='mso-line-spacing:"-256 0 -216";mso-margin-left-alt:348;mso-text-indent-alt:
56;position:absolute;top:0%;left:0%;width:92.68%;height:53.43%'><span
style='position:absolute;top:0%;left:0%;width:100.0%'><span style='mso-special-format:
nobullet;display:none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:
99%'>l</span><span style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Part
1: How to study </span></span><span style='position:absolute;top:31.19%;
left:8.1%;width:91.89%'><span style='font-size:106%;color:#E9EB5D;mso-color-index:
3'>expression variation and </span></span><span style='position:absolute;
top:61.46%;left:8.1%;width:91.89%'><span style='font-size:106%;color:#E9EB5D;
mso-color-index:3'>covariation (slides 2&#8211;16)<br>
</span></span></div>

<div style='mso-line-spacing:"-256 0 -216";mso-margin-left-alt:348;mso-text-indent-alt:
56;position:absolute;top:63.23%;left:0%;width:100.0%;height:36.76%'><span
style='position:absolute;top:0%;left:0%;width:100.0%'><span style='mso-special-format:
nobullet;display:none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:
99%'>l</span><span style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Part
2. Discovering upstream </span></span><span style='position:absolute;
top:45.33%;left:7.5%;width:89.32%'><span style='font-size:106%;color:#E9EB5D;
mso-color-index:3'>modulators (slides 17&#8211;30)</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></span></div>

</div>

</div>

<img border=0 src="slide0001_image001.png" style='position:absolute;top:21.9%;
left:74.56%;width:23.57%;height:64.31%'>

<div class=O style='position:absolute;top:79.32%;left:75.89%;width:10.46%;
height:14.48%'>

<div style='mso-line-spacing:"-346 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:0%;left:0%;width:100.0%;height:42.68%'><span
style='font-family:"Arial Rounded MT Bold";font-size:233%;color:#6E6E6E'>RNA</span><span
style='font-family:"Arial Rounded MT Bold";font-size:300%;color:#6E6E6E;
display:none'><br>
</span></div>

<div style='mso-line-spacing:"-346 0 0";mso-margin-left-alt:17;mso-text-indent-alt:
17;position:absolute;top:46.34%;left:0%;width:82.27%;height:54.87%'><span
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mso-special-format:lastCR;display:none'><br>
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</div>

<div class=O style='position:absolute;top:66.43%;left:3.44%;width:80.66%;
height:11.48%'><span style='position:absolute;top:0%;left:0%;width:100.0%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'><i>PowerPoint ÒNormal viewÓ has notes that may be </i></span></span><span
style='position:absolute;top:50.76%;left:0%;width:86.53%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'><i>useful companions to these slides.</i></span><span style='font-family:
"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:3;mso-special-format:
lastCR;display:none'><br>
</span></span></div>

<div class=O style='position:absolute;top:10.95%;left:6.35%;width:55.23%;
height:7.42%'><span style='font-family:"Gill Sans";font-size:283%;color:#E9EB5D'><i>a
PowerPoint Presentation</i></span><span style='font-family:"Gill Sans";
font-size:317%;color:#E9EB5D;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

<div class=O style='position:absolute;top:92.4%;left:75.23%;width:26.49%;
height:3.88%'><span style='font-family:Helvetica;font-size:167%;color:#E9EB5D'><i>RWW
07.23.2005</i></span></div>

<div class=O style='position:absolute;top:81.97%;left:3.44%;width:77.21%;
height:11.48%'>

<div style='position:absolute;top:0%;left:0%;width:88.16%;height:49.23%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'><i>You can also download this PowerPoint at<br>
</i></span></div>

<div style='position:absolute;top:50.76%;left:0%;width:100.0%;height:49.23%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'><i>ftp://atlas.utmem.edu/public/webqtl_demo2.ppt </i></span><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3;mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Welcome to a short
  demonstration of the GeneNetwork and its WebQTL module. Please adjust the
  size of the windows on your monitor so that you can see part of this page, as
  well as GeneNetwork windows. WebQTL produces a large number of new windows,
  so you may need to modify your browser preferences to permit pop-ups. In this
  demonstration, we explore one important transcript expressed in the brain:
  the amyloid beta precursor protein messenger RNA. A protein product of this
  mRNA, the APP protein, is associated with AlzheimerÕs disease.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>My thanks to Dr. Robert
  F. Clark and Wenli Cai for testing this PowerPoint demonstration and making
  many improvements.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>(Initial version of June
  2003 by Rob Williams. Edits July 13, 2005 by RW and RFC. Edit July 14, 2005
  by WC. Final edits by RF Clark, July 22, 2005.</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0001_image001.png b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0001_image001.png
deleted file mode 100755
index a1cb20e4..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0001_image001.png
+++ /dev/null
Binary files differdiff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0001_notes_pane.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0001_notes_pane.htm
deleted file mode 100755
index 7c670210..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0001_notes_pane.htm
+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Welcome to a short
  demonstration of the GeneNetwork and its WebQTL module. Please adjust the
  size of the windows on your monitor so that you can see part of this page, as
  well as GeneNetwork windows. WebQTL produces a large number of new windows,
  so you may need to modify your browser preferences to permit pop-ups. In this
  demonstration, we explore one important transcript expressed in the brain:
  the amyloid beta precursor protein messenger RNA. A protein product of this
  mRNA, the APP protein, is associated with AlzheimerÕs disease.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>My thanks to Dr. Robert
  F. Clark and Wenli Cai for testing this PowerPoint demonstration and making
  many improvements.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>(Initial version of June
  2003 by Rob Williams. Edits July 13, 2005 by RW and RFC. Edit July 14, 2005
  by WC. Final edits by RF Clark, July 22, 2005.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0002.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0002.htm
deleted file mode 100755
index 8627e129..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0002.htm
+++ /dev/null
@@ -1,25 +0,0 @@
-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
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-	window.location.replace( "endshow.htm" );
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<meta name=Description content=Aug-15-05>
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
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	{left:0px !important;
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onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
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style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'><img
border=0 src="slide0002_image002.png" style='position:absolute;top:8.3%;
left:.39%;width:86.35%;height:86.21%'><img border=0 src="slide0002_image003.png"
style='position:absolute;top:34.27%;left:59.07%;width:12.18%;height:14.48%'>

<div style='position:absolute;top:46.64%;left:85.43%;width:16.29%;height:12.01%;
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color:#E9EB5D;mso-color-index:3'>Choose<br>
</span></div>

<div style='mso-line-spacing:"-224 0 0";position:absolute;top:48.38%;
left:0%;width:100.0%;height:51.61%'><span style='font-family:"Gill Sans";
font-size:217%;color:#E9EB5D;mso-color-index:3'>database</span></div>

</div>

</div>

<div style='position:absolute;top:62.19%;left:86.62%;width:21.05%;height:12.72%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:6.94%;left:5.03%;width:89.93%;
height:86.11%'>

<div style='position:absolute;top:0%;left:0%;width:100.0%;height:51.61%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'>Enter<br>
</span></div>

<div style='mso-line-spacing:"-224 0 0";position:absolute;top:48.38%;
left:0%;width:100.0%;height:51.61%'><span style='font-family:"Gill Sans";
font-size:217%;color:#E9EB5D;mso-color-index:3'><i>APP</i></span><span
style='font-family:"Gill Sans";font-size:250%;color:#E9EB5D;mso-color-index:
3;mso-special-format:lastCR;display:none'><i><br>
</i></span></div>

</div>

</div>

<div style='position:absolute;top:77.73%;left:85.96%;width:12.58%;height:12.72%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:6.94%;left:8.42%;width:91.57%;
height:86.11%'>

<div style='position:absolute;top:0%;left:0%;width:91.95%;height:51.61%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'>Select<br>
</span></div>

<div style='mso-line-spacing:"-224 0 0";position:absolute;top:48.38%;
left:0%;width:100.0%;height:51.61%'><span style='font-family:"Gill Sans";
font-size:217%;color:#E9EB5D;mso-color-index:3'>search</span></div>

</div>

</div>

<div style='position:absolute;top:.88%;left:0%;width:111.92%;height:9.18%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div style='position:absolute;top:0%;left:.94%;width:99.05%;height:80.76%'>

<div class=B1 style='mso-margin-left-alt:644;mso-text-indent-alt:420'></div>

<div class=B2 style='mso-margin-left-alt:937;mso-text-indent-alt:716'></div>

<div class=B3 style='mso-margin-left-alt:1232;mso-text-indent-alt:1009'></div>

<div class=B4 style='mso-margin-left-alt:1544;mso-text-indent-alt:1304'></div>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:0;position:absolute;top:0%;left:0%;width:100.0%;height:
100.0%'><span style='mso-special-format:nobullet;display:none;color:#FBFDB8;
font-family:"Monotype Sorts";font-size:99%'>l</span><span style='font-size:
106%;color:#E9EB5D;mso-color-index:3'>PART 1: How to study variation and
covariation</span></div>

</div>

</div>

<div style='position:absolute;top:15.54%;left:85.82%;width:16.15%;height:22.43%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='mso-line-spacing:"-224 0 0";position:absolute;top:1.57%;
left:6.55%;width:94.26%;height:94.48%'><span style='position:absolute;
top:0%;left:0%;width:91.3%'><span style='font-family:"Gill Sans";font-size:
217%;color:#E9EB5D;mso-color-index:3'>Choose<span style="mso-spacerun:
yes">&nbsp; </span></span></span><span style='position:absolute;top:25.0%;
left:0%;width:91.3%'><span style='font-family:"Gill Sans";font-size:217%;
color:#E9EB5D;mso-color-index:3'>species, </span></span><span style='position:
absolute;top:49.16%;left:0%;width:91.3%'><span style='font-family:"Gill Sans";
font-size:217%;color:#E9EB5D;mso-color-index:3'>group, </span></span><span
style='position:absolute;top:73.33%;left:0%;width:100.0%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'>and type</span></span></div>

</div>

<img border=0 src="slide0002_image004.png" style='position:absolute;top:71.37%;
left:48.87%;width:12.58%;height:13.78%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Please link to the web
  site:<span style="mso-spacerun: yes">&nbsp; </span>http://www.genenetwork.org</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>To begin a search you
  make choices about what species, group, and database to explore.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>For this demonstration
  enter APP as above and click on the SEARCH button. Make sure that the DEFAULT
  SETTINGS are species = Mouse, Group = BXD, Type = Whole Brain, and Database =
  INIA BRAIN mRNA M430 (Apr05) PDNN.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>1. The GeneNetwork and
  WebQTL are often used to work with public data sets. However, it is possible
  to enter and analyze your own data for specific genetic reference populations
  such as the BXD genetic reference population of mice or the HXB strains of rat.
  Entering your own data is a more advanced topic, but if you click on the HOME
  pop-down menu (upper left), you will see ÒEnter Trait DataÓ that will explain
  the process.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>2.</font><font
  face=Helvetica size=3> For help on advanced searching methods read the left
  side of the page (INTRODUCTION).<span style="mso-spacerun: yes">&nbsp;
  </span>If you make a search term too complex, you may get no hits (try
  entering Òamyloid betaÓ for example). If you make it too simple, you may also
  get too many.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>3.</font><font
  face=Helvetica size=3> Use the asterisk * as a wildcard. For example, to find
  all <i>Hoxb</i> transcripts, search for Hoxb*.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>4.</font><font
  face=Helvetica size=3> In some cases you can also research for transcripts
  and genes using special search strings such as Ò</font><font face=Geneva
  size=3>Mb = (Chr1, 100 102)Ó to find all genes on Chromosome 1 between 98 and
  104 megabases (donÕt actually use the quotes). Details are described at </font><font
  face=Verdana size=3>http://www.genenetwork.org/searchHelp.html</font><font
  face=Geneva size=3>.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>5.<span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>These INFO buttons provide
  links to data about the different data types. Try them.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>6.<span
  style="mso-spacerun: yes">&nbsp; </span>The SET TO DEFAULT button is used to
  change the database default setting to match your typical search categories.</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
\ No newline at end of file
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--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0002_notes_pane.htm
+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Please link to the web
  site:<span style="mso-spacerun: yes">&nbsp; </span>http://www.genenetwork.org</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>To begin a search you
  make choices about what species, group, and database to explore.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>For this demonstration
  enter APP as above and click on the SEARCH button. Make sure that the DEFAULT
  SETTINGS are species = Mouse, Group = BXD, Type = Whole Brain, and Database =
  INIA BRAIN mRNA M430 (Apr05) PDNN.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>1. The GeneNetwork and
  WebQTL are often used to work with public data sets. However, it is possible
  to enter and analyze your own data for specific genetic reference populations
  such as the BXD genetic reference population of mice or the HXB strains of rat.
  Entering your own data is a more advanced topic, but if you click on the HOME
  pop-down menu (upper left), you will see ÒEnter Trait DataÓ that will explain
  the process.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>2.</font><font
  face=Helvetica size=2> For help on advanced searching methods read the left
  side of the page (INTRODUCTION).<span style="mso-spacerun: yes">&nbsp;
  </span>If you make a search term too complex, you may get no hits (try
  entering Òamyloid betaÓ for example). If you make it too simple, you may also
  get too many.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>3.</font><font
  face=Helvetica size=2> Use the asterisk * as a wildcard. For example, to find
  all <i>Hoxb</i> transcripts, search for Hoxb*.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>4.</font><font
  face=Helvetica size=2> In some cases you can also research for transcripts
  and genes using special search strings such as Ò</font><font face=Geneva
  color="#222222" size=2>Mb = (Chr1, 100 102)Ó to find all genes on Chromosome
  1 between 98 and 104 megabases (donÕt actually use the quotes). Details are
  described at </font><font face=Verdana color=black size=2>http://www.genenetwork.org/searchHelp.html</font><font
  face=Geneva color="#222222" size=2>.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>5.<span
  style="mso-spacerun: yes">&nbsp;&nbsp; </span>These INFO buttons provide
  links to data about the different data types. Try them.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>6.<span
  style="mso-spacerun: yes">&nbsp; </span>The SET TO DEFAULT button is used to
  change the database default setting to match your typical search categories.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0003.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0003.htm
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+++ /dev/null
@@ -1,25 +0,0 @@
-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
<meta name=Description content=Aug-15-05>
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
<!--.sld
	{left:0px !important;
	width:6.0in !important;
	height:4.5in !important;
	font-size:76% !important;}
-->
</style>
<script language=JavaScript src=script.js></script><script language=JavaScript><!--

-gId="slide0003.htm"
-if ( !parent.base.g_done && (parent.base.msie < 0 ) ) {
-	parent.base.g_done = 1;
-	document.location.replace( parent.base.GetHrefObj(parent.base.g_currentSlide).m_slideHref);
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-var g_hasTrans = true, g_autoTrans = false, g_transSecs = 1;
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-</script><script for=window event=onload language=JavaScript><!--

-if( !IsSldOrNts() ) return;
-if( MakeNotesVis() ) return;
-LoadSld( gId );
-playList();MakeSldVis(1);
-//-->

-</script>
</head>

<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'><img
border=0 src="slide0003_image005.png" style='position:absolute;top:34.27%;
left:59.07%;width:12.18%;height:14.48%'>

<div style='position:absolute;top:.88%;left:.79%;width:105.69%;height:9.18%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div style='position:absolute;top:0%;left:1.0%;width:98.99%;height:80.76%'>

<div class=B1 style='mso-margin-left-alt:644;mso-text-indent-alt:420'></div>

<div class=B2 style='mso-margin-left-alt:937;mso-text-indent-alt:716'></div>

<div class=B3 style='mso-margin-left-alt:1232;mso-text-indent-alt:1009'></div>

<div class=B4 style='mso-margin-left-alt:1544;mso-text-indent-alt:1304'></div>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:0;position:absolute;top:0%;left:0%;width:100.0%;height:
100.0%'><span style='mso-special-format:nobullet;display:none;color:#FBFDB8;
font-family:"Monotype Sorts";font-size:99%'>l</span><span style='font-size:
106%;color:#E9EB5D;mso-color-index:3'>Please also use the Glossary, FAQ, and
News</span></div>

</div>

</div>

<img border=0 src="slide0003_image006.png" style='position:absolute;top:10.07%;
left:1.72%;width:69.66%;height:60.95%'><img border=0
src="slide0003_image008.png" style='position:absolute;top:9.18%;left:18.8%;
width:12.58%;height:13.78%'><img border=0 src="slide0003_image009.png"
style='position:absolute;top:49.11%;left:38.27%;width:60.0%;height:48.58%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>SHORT DETOUR to the HELP
  menu. If you are new to the GeneNetwork, you may find it helpful to review
  the The Glossary and FAQ pages shown above. We are in the process of making
  ÒliveÓ demos for some of the key modules in the GeneNetwork. Check the NEWS
  every month or two to find out about new features.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
\ No newline at end of file
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+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>SHORT DETOUR to the HELP
  menu. If you are new to the GeneNetwork, you may find it helpful to review
  the The Glossary and FAQ pages shown above. We are in the process of making
  ÒliveÓ demos for some of the key modules in the GeneNetwork. Check the NEWS
  every month or two to find out about new features.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</body>

</html>
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-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
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genomics</title>
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<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'><img
border=0 src="slide0004_image010.png" style='position:absolute;top:9.18%;
left:3.31%;width:68.74%;height:90.81%'><img border=0
src="slide0004_image012.png" style='position:absolute;top:63.78%;left:63.57%;
width:14.7%;height:6.53%'>

<div class=O style='position:absolute;top:45.93%;left:80.13%;width:18.94%;
height:47.17%'>

<div style='mso-line-spacing:"-224 0 0";position:absolute;top:0%;left:0%;
width:100.0%;height:44.94%'><span style='position:absolute;top:0%;left:0%;
width:100.0%'><span style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;
mso-color-index:3'>Highlight </span></span><span style='position:absolute;
top:24.16%;left:0%;width:100.0%'><span style='font-family:"Gill Sans";
font-size:217%;color:#E9EB5D;mso-color-index:3'>this probe </span></span><span
style='position:absolute;top:49.16%;left:0%;width:100.0%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'>set in red </span></span><span style='position:absolute;top:73.33%;
left:0%;width:100.0%'><span style='font-family:"Gill Sans";font-size:217%;
color:#E9EB5D;mso-color-index:3'>and</span><span style='font-family:"Gill Sans";
font-size:217%;color:#E9EB5D;mso-color-index:3;display:none'><i><br>
</i></span></span></div>

<div style='mso-line-spacing:"-224 0 0";position:absolute;top:43.82%;
left:0%;width:100.0%;height:56.17%'><span style='position:absolute;top:0%;
left:0%;width:100.0%'><span style='font-family:"Gill Sans";font-size:217%;
color:#E9EB5D;mso-color-index:3'>click. You </span></span><span
style='position:absolute;top:20.0%;left:0%;width:100.0%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'>do NOT </span></span><span style='position:absolute;top:39.33%;left:0%;
width:100.0%'><span style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;
mso-color-index:3'>have to </span></span><span style='position:absolute;
top:59.33%;left:0%;width:100.0%'><span style='font-family:"Gill Sans";
font-size:217%;color:#E9EB5D;mso-color-index:3'>select the </span></span><span
style='position:absolute;top:78.66%;left:0%;width:100.0%'><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3'>checkbox</span><span style='font-family:"Gill Sans";font-size:250%;
color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;display:none'><br>
</span></span></div>

</div>

<div style='position:absolute;top:-4.41%;left:1.72%;width:84.63%;height:18.19%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='position:absolute;top:29.12%;left:1.4%;width:97.18%;
height:42.71%'><span style='font-size:82%'>Search results</span><span
style='mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

</div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>RESULTS OF THE APP
  SEARCH.<span style="mso-spacerun: yes">&nbsp; </span>A search of the INIA
  Brain database generates 18 matches, 10 of which are shown above. The
  GeneNetwork will display several hundred matches in pages of 40 each. If a
  search generates a larger numbers of hits, then you will need to refine
  search terms.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>1. APP is a great
  transcript to introduce you to the complexity and power of new array
  platforms that often provide ÒalternativeÓ expression estimates for single
  genes. There are seven probe sets that target different parts of the APP
  transcript. Which of the alternative measurements is most appropriate and
  informative? Have a look at the FAQ page for more on this topic, but general
  advice: 1. be skeptical and try to validate that the correct transcript and
  gene is being measured; 2. check what part of the transcript is complementary
  to the probes; 3. evaluate the performance of individual probes based on
  expression level, signal-to-noise and other error terms such as the standard
  deviation and error.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>2. In this particular
  case we have highlighted and selected # 5 on this SEARCH RESULTS page. The
  annotation for this probe set mentions that it targets the last three exons
  and the 3Õ untranslated region (UTR) of the amyloid precursor protein (APP).<span
  style="mso-spacerun: yes">&nbsp; </span>That is just what we want.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>3. Most probe sets have
  not been annotated in as much detail as App. Refer tot the FAQ to learn how
  to annotate probe sets yourself.</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
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-//-->

-</script>
</body>

</html>
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+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
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-	window.location.replace( "endshow.htm" );
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</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>RESULTS OF THE APP
  SEARCH.<span style="mso-spacerun: yes">&nbsp; </span>A search of the INIA
  Brain database generates 18 matches, 10 of which are shown above. The
  GeneNetwork will display several hundred matches in pages of 40 each. If a
  search generates a larger numbers of hits, then you will need to refine
  search terms.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>1. APP is a great
  transcript to introduce you to the complexity and power of new array
  platforms that often provide ÒalternativeÓ expression estimates for single
  genes. There are seven probe sets that target different parts of the APP
  transcript. Which of the alternative measurements is most appropriate and
  informative? Have a look at the FAQ page for more on this topic, but general
  advice: 1. be skeptical and try to validate that the correct transcript and
  gene is being measured; 2. check what part of the transcript is complementary
  to the probes; 3. evaluate the performance of individual probes based on
  expression level, signal-to-noise and other error terms such as the standard
  deviation and error.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. In this particular
  case we have highlighted and selected # 5 on this SEARCH RESULTS page. The
  annotation for this probe set mentions that it targets the last three exons
  and the 3Õ untranslated region (UTR) of the amyloid precursor protein (APP).<span
  style="mso-spacerun: yes">&nbsp; </span>That is just what we want.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>3. Most probe sets have
  not been annotated in as much detail as App. Refer tot the FAQ to learn how
  to annotate probe sets yourself.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0005.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0005.htm
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-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
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<meta name=Description content=Aug-15-05>
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<style media=print>
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	width:6.0in !important;
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<script language=JavaScript src=script.js></script><script language=JavaScript><!--

-gId="slide0005.htm"
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-</script><script for=window event=onload language=JavaScript><!--

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-LoadSld( gId );
-playList();MakeSldVis(1);
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</head>

<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'><img
border=0 src="slide0005_image013.png" style='position:absolute;top:8.83%;
left:2.51%;width:77.48%;height:80.56%'>

<div style='position:absolute;top:1.06%;left:0%;width:108.21%;height:8.3%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:56;position:absolute;top:0%;left:1.83%;width:98.16%;
height:78.72%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'>First page of data: The
Trait Data and Analysis Form</span><span style='font-size:106%;color:#E9EB5D;
mso-color-index:3;mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

<img border=0 src="slide0005_image014.png" style='position:absolute;top:34.98%;
left:68.74%;width:16.42%;height:9.71%'>

<div style='position:absolute;top:23.32%;left:84.76%;width:16.68%;height:34.09%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=O style='position:absolute;top:2.07%;left:6.34%;width:93.65%;
height:95.33%'><span style='position:absolute;top:0%;left:0%;width:90.67%'><span
style='font-size:200%;color:#E9EB5D'><i>Click </i></span></span><span
style='position:absolute;top:16.3%;left:0%;width:90.67%'><span
style='font-size:200%;color:#E9EB5D'><i>here<br>
</i></span></span>

<div style='position:absolute;top:33.15%;left:0%;width:100.0%;height:16.84%'><span
style='font-size:200%;color:#E9EB5D'><i>to learn<br>
</i></span></div>

<div style='position:absolute;top:49.45%;left:0%;width:90.67%;height:16.84%'><span
style='font-size:200%;color:#E9EB5D'><i>about<br>
</i></span></div>

<div style='position:absolute;top:66.3%;left:0%;width:90.67%;height:16.84%'><span
style='font-size:200%;color:#E9EB5D'><i>data<br>
</i></span></div>

<div style='position:absolute;top:83.15%;left:0%;width:90.67%;height:16.84%'><span
style='font-size:200%;color:#E9EB5D'><i>source</i></span></div>

</div>

</div>

</div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>The Trait Data and
  Analysis Form is the single most important page from the point of view of
  working with GeneNetwork data. Please read the text carefully. Explore the
  links, but do not close this page. We will need it many more times in this
  demonstration.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>1. What is this
  database? It is called INIA Brain mRNA M430 (Apr05) PDNN, but what does that
  actually mean. How much of the brain was used? How were the animals
  processed? Most of these types of questions can be answered by clicking on
  the DATABASE link.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>2. Transcript/gene
  LOCATION data is usually from the most recent assembly. You can VERIFY the
  location of the probes and probe set using the two VERIFY buttons. VERIFY
  UCSC performs a sequence alignment (BLAT analysis) of the probes to the most
  recent assembly.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>3. The PROBE TOOL button
  provides you with highly detailed information on the probe sequences used to
  assemble the probe set. For example, in this case you can find out which
  probes correspond to which of the three exons. You can also review the
  performance of the individual probes. Please check the GLOSSARY for
  additional details on probes.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>4. The identifiers (IDs)
  provide links to other key resources.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
\ No newline at end of file
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deleted file mode 100755
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--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0005_notes_pane.htm
+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>The Trait Data and
  Analysis Form is the single most important page from the point of view of
  working with GeneNetwork data. Please read the text carefully. Explore the
  links, but do not close this page. We will need it many more times in this
  demonstration.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>1. What is this
  database? It is called INIA Brain mRNA M430 (Apr05) PDNN, but what does that
  actually mean. How much of the brain was used? How were the animals
  processed? Most of these types of questions can be answered by clicking on
  the DATABASE link.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. Transcript/gene
  LOCATION data is usually from the most recent assembly. You can VERIFY the
  location of the probes and probe set using the two VERIFY buttons. VERIFY
  UCSC performs a sequence alignment (BLAT analysis) of the probes to the most
  recent assembly.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>3. The PROBE TOOL button
  provides you with highly detailed information on the probe sequences used to
  assemble the probe set. For example, in this case you can find out which
  probes correspond to which of the three exons. You can also review the
  performance of the individual probes. Please check the GLOSSARY for
  additional details on probes.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>4. The identifiers (IDs)
  provide links to other key resources.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</body>

</html>
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-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
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<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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href="webqtl_demo2_part1.ppt.ppt">
<script>
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<meta name=Description content=Aug-15-05>
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style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:-1.06%;left:0%;width:100.26%;height:10.07%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:56;position:absolute;top:0%;left:1.98%;width:96.82%;
height:73.68%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Data sources: Metadata
for each resource</span></div>

</div>

<img border=0 src="slide0006_image015.png" style='position:absolute;top:6.71%;
left:3.31%;width:60.39%;height:92.22%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Most of the database
  components and resources in The GeneNetwork are linked to metadata pages that
  provide a human-readable summary of how, why, where, when, and with whom the
  data were generated. Before you get too involved with a data set, it is
  naturally important to read this information. While the data in The
  GeneNetwork may be accessible and useful, that does not always mean that the
  data is public domain and available for you to use in publication or for
  profit purposes. If you want to know more about the data ownership and usage,
  please read through the POLICIES pop-down menu items.</font><br>
  </td>
 </tr>
</table>

</div>

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-
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-//-->

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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
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<body bgcolor=black text=white>

<table border=0 width="100%">
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 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Most of the database
  components and resources in The GeneNetwork are linked to metadata pages that
  provide a human-readable summary of how, why, where, when, and with whom the
  data were generated. Before you get too involved with a data set, it is
  naturally important to read this information. While the data in The
  GeneNetwork may be accessible and useful, that does not always mean that the
  data is public domain and available for you to use in publication or for
  profit purposes. If you want to know more about the data ownership and usage,
  please read through the POLICIES pop-down menu items.</font><br>
  </td>
 </tr>
</table>

</body>

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<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
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<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:-.35%;left:-.79%;width:109.13%;height:7.42%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:56;position:absolute;top:0%;left:1.82%;width:98.17%;
height:88.09%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'>Expression estimates for </span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'> on the Trait Data form</span><span
style='font-size:81%;color:#E9EB5D;mso-color-index:3'> </span></div>

</div>

<div style='position:absolute;top:81.09%;left:2.51%;width:110.46%;height:11.48%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=O style='position:absolute;top:7.69%;left:.83%;width:99.16%;
height:84.61%'><span style='position:absolute;top:0%;left:0%;width:100.0%'><span
style='font-family:"Gill Sans";font-size:183%;color:#E9EB5D;mso-color-index:
3'>Trait data for each strain with SE when known. For array data the scale is </span></span><span
style='position:absolute;top:49.09%;left:0%;width:84.28%'><span
style='font-family:"Gill Sans";font-size:183%;color:#E9EB5D;mso-color-index:
3'>~ log base 2.<span style="mso-spacerun: yes">&nbsp;&nbsp; </span></span><span
style='font-size:167%;color:#E9EB5D;mso-color-index:3'>F1 data = 16.723 =
2^16.723 = 108,174</span></span></div>

</div>

<img border=0 src="slide0007_image016.png" style='position:absolute;top:7.77%;
left:2.51%;width:51.65%;height:72.26%'><img border=0
src="slide0007_image017.png" style='position:absolute;top:33.92%;left:57.88%;
width:30.72%;height:13.42%'>

<div style='position:absolute;top:47.7%;left:57.48%;width:36.29%;height:18.9%;
filter:DropShadow(Color=#000000, OffX=2, OffY=1)'>

<div class=O style='position:absolute;top:3.73%;left:2.91%;width:97.08%;
height:96.26%'><span style='position:absolute;top:0%;left:0%;width:96.24%'><span
style='font-size:167%;color:#E9EB5D;mso-color-index:3'>These values can all </span></span><span
style='position:absolute;top:25.24%;left:0%;width:93.98%'><span
style='font-size:167%;color:#E9EB5D;mso-color-index:3'>be changed by the </span></span><span
style='position:absolute;top:49.51%;left:0%;width:100.0%'><span
style='font-size:167%;color:#E9EB5D;mso-color-index:3'>user. (Yes, there is a </span></span><span
style='position:absolute;top:74.75%;left:0%;width:93.98%'><span
style='font-size:167%;color:#E9EB5D;mso-color-index:3'>RESET)</span></span></div>

</div>

</div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>This slide shows you the
  lower parts of the Trait Data and Analysis Form with the data for the first
  set of BXD strains</font><br>
  </td>
 </tr>
</table>

</div>

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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
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<body bgcolor=black text=white>

<table border=0 width="100%">
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  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>This slide shows you the
  lower parts of the Trait Data and Analysis Form with the data for the first
  set of BXD strains</font><br>
  </td>
 </tr>
</table>

</body>

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<head>
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<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
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<meta name=Description content=Aug-15-05>
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	{left:0px !important;
	width:6.0in !important;
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<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:.53%;left:.79%;width:98.54%;height:8.12%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:56;position:absolute;top:0%;left:2.01%;width:96.9%;
height:91.3%'><span style='mso-special-format:nobullet;display:none;color:#FBFDB8;
font-family:"Monotype Sorts";font-size:99%'>l</span><span style='font-size:
106%;color:#E9EB5D;mso-color-index:3'>Critiquing the </span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> data the Trait Data</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

<div style='position:absolute;top:74.38%;left:2.51%;width:110.86%;height:13.78%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=O style='position:absolute;top:6.41%;left:.83%;width:99.16%;
height:88.46%'><span style='position:absolute;top:0%;left:0%;width:98.55%'><span
style='font-family:"Gill Sans";font-size:150%;color:#E9EB5D;mso-color-index:
3'>Use the BASIC STATISTICS button to evaluate the App data. You will find that
App data </span></span><span style='position:absolute;top:31.88%;left:0%;
width:100.0%'><span style='font-family:"Gill Sans";font-size:150%;color:#E9EB5D;
mso-color-index:3'>from the different strains are not equally trustworthy. BXD8
is an obvious outlier without </span></span><span style='position:absolute;
top:63.76%;left:0%;width:93.85%'><span style='font-family:"Gill Sans";
font-size:150%;color:#E9EB5D;mso-color-index:3'>replication (no error bar)</span><span
style='font-size:150%;color:#E9EB5D;mso-color-index:3'>. BXD33 is also
suspiciously low. BXD5 is noisy. </span><span style='font-family:"Gill Sans";
font-size:150%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></span></div>

</div>

<img border=0 src="slide0008_image018.png" style='position:absolute;top:7.77%;
left:2.11%;width:16.02%;height:18.72%'><img border=0
src="slide0008_image019.png" style='position:absolute;top:8.3%;left:18.27%;
width:73.37%;height:66.07%'><img border=0 src="slide0008_image021.png"
style='position:absolute;top:87.27%;left:59.6%;width:30.72%;height:13.42%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>The Basic Statistics
  page allows you to evaluate some aspects of the data quality. In this case,
  BXD8 is a potential problem. An outlier of this type may be generated by a
  technical artifact (bad sample?). However, it is also possible that BXD8 just
  has genuine low endogenous expression of App and may therefore be a
  particularly valuable model for research. There are different ways to treat
  problematic data of these types. One way is simply to discard this datum. The
  other way is to prevent outliers from have too much influence quantitatively,
  while leaving them in their low (or high positions). This is called
  windsorizing the data (after King Henry the VIII who had a habit of chopping
  heads). In this case, we have windsorized the BXD8 to a value of 16.0 and the
  BXD33 to a value of 16.02. Rank is retained. We are making a bet that the two
  lowest strains are really low, but we are hedging our bet and just making
  them a little lower than BXD90. This removes their ÒundueÓ influence.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>1. It turns out that
  BXD8 is a strain with many odd phenotypes. The whole strain is essentially an
  outlier for many traits. Therefore, the low App expression data may be quite
  accurate. Still, it would be comforting to have at least two more replicates.</font><br>
  </td>
 </tr>
</table>

</div>

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<head>
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<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
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href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
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-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>The Basic Statistics
  page allows you to evaluate some aspects of the data quality. In this case,
  BXD8 is a potential problem. An outlier of this type may be generated by a
  technical artifact (bad sample?). However, it is also possible that BXD8 just
  has genuine low endogenous expression of App and may therefore be a
  particularly valuable model for research. There are different ways to treat
  problematic data of these types. One way is simply to discard this datum. The
  other way is to prevent outliers from have too much influence quantitatively,
  while leaving them in their low (or high positions). This is called
  windsorizing the data (after King Henry the VIII who had a habit of chopping
  heads). In this case, we have windsorized the BXD8 to a value of 16.0 and the
  BXD33 to a value of 16.02. Rank is retained. We are making a bet that the two
  lowest strains are really low, but we are hedging our bet and just making
  them a little lower than BXD90. This removes their ÒundueÓ influence.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>1. It turns out that
  BXD8 is a strain with many odd phenotypes. The whole strain is essentially an
  outlier for many traits. Therefore, the low App expression data may be quite
  accurate. Still, it would be comforting to have at least two more replicates.</font><br>
  </td>
 </tr>
</table>

</body>

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style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:0%;left:1.72%;width:93.64%;height:14.48%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:56;position:absolute;top:0%;left:2.12%;width:96.6%;
height:51.21%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> expression after
windsorizing</span></div>

</div>

<img border=0 src="slide0009_image022.png" style='position:absolute;top:8.83%;
left:2.51%;width:94.17%;height:83.74%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Now we get a much better
  feel for the variation in the error among the cases. Those without error bars
  are of course the ÒnoisiestÓ of all. This data set is not complete yet (the
  aim is to acquire at least one male-female sample for each BXD strain).</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
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<table border=0 width="100%">
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  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Now we get a much better
  feel for the variation in the error among the cases. Those without error bars
  are of course the ÒnoisiestÓ of all. This data set is not complete yet (the
  aim is to acquire at least one male-female sample for each BXD strain).</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
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<meta name=Description content=Aug-15-05>
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
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<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
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style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:0%;left:.79%;width:93.64%;height:14.48%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:56;position:absolute;top:0%;left:2.12%;width:97.45%;
height:51.21%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Discovering shared
expression patterns</span></div>

</div>

<img border=0 src="slide0010_image023.png" style='position:absolute;top:10.07%;
left:3.31%;width:94.17%;height:37.27%'><img border=0
src="slide0010_image024.png" style='position:absolute;top:38.86%;left:61.72%;
width:13.77%;height:14.84%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Finally, we can now
  start an analysis.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>We ask a simple
  question:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Do differences in this
  particular App transcript steady-state abundance level correlate with those
  of any other transcripts in the same INIA Brain mRNA M430 data set?</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>1.</font><font
  face=Helvetica size=3>You can CHOOSE many other DATABASES at this point if
  you want, but for now letÕs stick with the default.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>2. There are different
  ways to sort the correlations. The most obvious is by p-value (most
  significant values at the top of the list), but it is also interesting to
  sort the top 100 or top 500 by their gene symbol (gene ID) or by their
  chromosomal location (position).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>3. If you donÕt want
  your analysis to be sensitive to outliers, then you may want to choose to use
  the Spearman Rank Order method of calculating correlations.</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
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-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Finally, we can now
  start an analysis.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>We ask a simple
  question:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Do differences in this
  particular App transcript steady-state abundance level correlate with those
  of any other transcripts in the same INIA Brain mRNA M430 data set?</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font
  face=Helvetica size=2>You can CHOOSE many other DATABASES at this point if
  you want, but for now letÕs stick with the default.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. There are different
  ways to sort the correlations. The most obvious is by p-value (most
  significant values at the top of the list), but it is also interesting to
  sort the top 100 or top 500 by their gene symbol (gene ID) or by their
  chromosomal location (position).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>3. If you donÕt want
  your analysis to be sensitive to outliers, then you may want to choose to use
  the Spearman Rank Order method of calculating correlations.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
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<meta name=Description content=Aug-15-05>
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
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	{left:0px !important;
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<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
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style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:.35%;left:-.79%;width:93.64%;height:14.48%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:56;position:absolute;top:0%;left:2.12%;width:96.6%;
height:51.21%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Transcript neighborhoods</span></div>

</div>

<img border=0 src="slide0011_image025.png" style='position:absolute;top:7.77%;
left:2.51%;width:85.82%;height:91.87%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>The Traits Correlation
  output window (Correlation Results) compares App expression data with all
  other traits in this INIA Brain data set. The most significant 100 or 500
  transcripts are sorted by their p-values. The top correlation is that of the
  probe set to itself (often a value of 1.0, but in this case we modified the
  App values manually by windsorizing the data). The next best correlation is
  to another App probe set. The fourth correlation is interesting and suggests
  that there may be a link between App and a particular type of ataxia (Atcay).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>1.</font><font
  face=Helvetica size=3>Use the checkboxes to the far left to select traits
  that you want to study together. Once you have selected interesting traits,
  click on the ADD SELECTION button. This puts all of the selected traits into
  a SELECTIONS WINDOW for other types of analysis.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>2. The p-value is not
  corrected for multiple tests. A conservative approach for array data would be
  to assume 10,000 nominally independent tests. Subtract 4 from the exponent
  and if the value is still smaller than 0.05 you may have a real correlation.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>3. The LITERATURE
  CORRELATION is a data type generated by Drs. Ramin Homayouni and Michael
  Berry. Click on the header column by the asterisk for more information on
  this highly useful data type.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>4. We are using Pearson
  product moment correlations rather that the Spearman rank order correlation.
  But you can select either in the previous step.</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

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-
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-//-->

-</script>
</body>

</html>
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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>The Traits Correlation
  output window (Correlation Results) compares App expression data with all
  other traits in this INIA Brain data set. The most significant 100 or 500
  transcripts are sorted by their p-values. The top correlation is that of the
  probe set to itself (often a value of 1.0, but in this case we modified the
  App values manually by windsorizing the data). The next best correlation is
  to another App probe set. The fourth correlation is interesting and suggests
  that there may be a link between App and a particular type of ataxia (Atcay).</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font
  face=Helvetica size=2>Use the checkboxes to the far left to select traits
  that you want to study together. Once you have selected interesting traits,
  click on the ADD SELECTION button. This puts all of the selected traits into
  a SELECTIONS WINDOW for other types of analysis.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. The p-value is not
  corrected for multiple tests. A conservative approach for array data would be
  to assume 10,000 nominally independent tests. Subtract 4 from the exponent
  and if the value is still smaller than 0.05 you may have a real correlation.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>3. The LITERATURE
  CORRELATION is a data type generated by Drs. Ramin Homayouni and Michael
  Berry. Click on the header column by the asterisk for more information on
  this highly useful data type.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>4. We are using Pearson
  product moment correlations rather that the Spearman rank order correlation.
  But you can select either in the previous step.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
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-}
-</script>
<meta name=Description content=Aug-15-05>
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
<!--.sld
	{left:0px !important;
	width:6.0in !important;
	height:4.5in !important;
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<script language=JavaScript src=script.js></script><script language=JavaScript><!--

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</head>

<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:.35%;left:1.72%;width:93.64%;height:14.48%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:56;position:absolute;top:0%;left:2.12%;width:96.6%;
height:51.21%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> and </span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>Atcay</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> transcript scatterplot </span></div>

</div>

<img border=0 src="slide0012_image026.png" style='position:absolute;top:8.48%;
left:5.03%;width:66.22%;height:91.16%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>By clicking on the
  CORRELATION of the Atcay transcript to the App transcript, you can generate a
  Correlation plot between these two transcripts. In this App and Atcay
  scatterplot, each point is a strain mean value. For example, BXD33 and BXD8
  have low App and Atcay expressions. The two parental strains and the F1 are
  also included in this plot.</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
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@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
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</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>By clicking on the
  CORRELATION of the Atcay transcript to the App transcript, you can generate a
  Correlation plot between these two transcripts. In this App and Atcay
  scatterplot, each point is a strain mean value. For example, BXD33 and BXD8
  have low App and Atcay expressions. The two parental strains and the F1 are
  also included in this plot.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0013.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0013.htm
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-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
<meta name=Description content=Aug-15-05>
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
<!--.sld
	{left:0px !important;
	width:6.0in !important;
	height:4.5in !important;
	font-size:76% !important;}
-->
</style>
<script language=JavaScript src=script.js></script><script language=JavaScript><!--

-gId="slide0013.htm"
-if ( !parent.base.g_done && (parent.base.msie < 0 ) ) {
-	parent.base.g_done = 1;
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-var g_hasTrans = true, g_autoTrans = false, g_transSecs = 1;
-//-->

-</script><script for=window event=onload language=JavaScript><!--

-if( !IsSldOrNts() ) return;
-if( MakeNotesVis() ) return;
-LoadSld( gId );
-playList();MakeSldVis(1);
-//-->

-</script>
</head>

<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:.35%;left:.79%;width:99.47%;height:14.48%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:348;
mso-text-indent-alt:56;position:absolute;top:0%;left:1.99%;width:96.8%;
height:51.21%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> transcript and eight of
its neighbors</span></div>

</div>

<img border=0 src="slide0013_image027.png" style='position:absolute;top:9.71%;
left:2.51%;width:83.84%;height:90.1%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>A group of traits from
  many different databases can be selected and brought together for joint
  analysis. In this case all of the content of the BXD SELECTIONS is from a
  single BRAIN database, the top 20 neighbors of the App transcript from the
  Correlation Results table. Eight of these neighbors plus App is shown in the
  slide.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>1.</font><font
  face=Helvetica size=3>All of items in the BXD SELECTIONS were selected using
  the SELECT ALL button</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>2. The buttons at the
  top (and bottom) of this page can do some cool stuff. We will work with
  NETWORK GRAPH first.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>3. Think of the
  SELECTIONS as your shopping cart. You go to different aisles in the
  supermarket to acquire different types of items of interest. These could
  include transcripts, classical phenotypes (longevity, brain weight, prepulse
  inhibition, iron levels in midbrain). ÒChecking outÓ in this case involves
  doing some analysis with the items in the cart.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>4. Different tools
  handle different numbers of items. Most will handle up to 100 traits.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
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@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>A group of traits from
  many different databases can be selected and brought together for joint
  analysis. In this case all of the content of the BXD SELECTIONS is from a
  single BRAIN database, the top 20 neighbors of the App transcript from the
  Correlation Results table. Eight of these neighbors plus App is shown in the
  slide.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font
  face=Helvetica size=2>All of items in the BXD SELECTIONS were selected using
  the SELECT ALL button</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. The buttons at the
  top (and bottom) of this page can do some cool stuff. We will work with
  NETWORK GRAPH first.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>3. Think of the
  SELECTIONS as your shopping cart. You go to different aisles in the
  supermarket to acquire different types of items of interest. These could
  include transcripts, classical phenotypes (longevity, brain weight, prepulse
  inhibition, iron levels in midbrain). ÒChecking outÓ in this case involves
  doing some analysis with the items in the cart.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>4. Different tools
  handle different numbers of items. Most will handle up to 100 traits.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><br>
  </td>
 </tr>
</table>

</body>

</html>
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-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
<meta name=Description
content="Aug-15-05: App transcript coexpression neighborhood">
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
<!--.sld
	{left:0px !important;
	width:6.0in !important;
	height:4.5in !important;
	font-size:76% !important;}
-->
</style>
<script language=JavaScript src=script.js></script><script language=JavaScript><!--

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-var g_hasTrans = true, g_autoTrans = false, g_transSecs = 1;
-//-->

-</script><script for=window event=onload language=JavaScript><!--

-if( !IsSldOrNts() ) return;
-if( MakeNotesVis() ) return;
-LoadSld( gId );
-playList();MakeSldVis(1);
-//-->

-</script>
</head>

<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:82.15%;left:4.1%;width:96.15%;height:18.19%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'></div>

<div style='position:absolute;top:-2.29%;left:.79%;width:105.43%;height:12.54%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='position:absolute;top:19.71%;left:1.25%;width:98.74%;
height:61.97%'><span style='font-size:82%'><i>App</i></span><span
style='font-size:82%'> transcript coexpression neighborhood</span><span
style='mso-special-format:lastCR;display:none'><br>
</span></div>

</div>

<img border=0 src="slide0014_image029.png" style='position:absolute;top:37.8%;
left:1.72%;width:97.48%;height:62.19%'><img border=0
src="slide0014_image031.png" style='position:absolute;top:11.13%;left:1.72%;
width:79.47%;height:25.44%'><img border=0 src="slide0014_image033.png"
style='position:absolute;top:10.6%;left:81.32%;width:18.8%;height:9.89%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Output of the Network
  Graph. Warm colors (orange and red) are positive correlations above 0.5
  whereas cool colors (green and blue) are negative correlations. Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>1.</font><font
  face=Helvetica size=3> All of the nodes (gene/transcripts) on this graph are
  clickable.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>2. For this graph the
  App expression values have ÒrevertedÓ to their pre-Windsorized values.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>3. To generate this
  graph, we used the default setting:<span style="mso-spacerun: yes">&nbsp;
  </span>Size of 16 by 16 inches; Gene Symbols; Don't Show Correlations; Use
  curved lines (aka ÒedgesÓ).</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
\ No newline at end of file
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+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Output of the Network
  Graph. Warm colors (orange and red) are positive correlations above 0.5
  whereas cool colors (green and blue) are negative correlations. Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font
  face=Helvetica size=2> All of the nodes (gene/transcripts) on this graph are
  clickable.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. For this graph the
  App expression values have ÒrevertedÓ to their pre-Windsorized values.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>3. To generate this
  graph, we used the default setting:<span style="mso-spacerun: yes">&nbsp;
  </span>Size of 16 by 16 inches; Gene Symbols; Don't Show Correlations; Use
  curved lines (aka ÒedgesÓ).</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0015.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0015.htm
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+++ /dev/null
@@ -1,25 +0,0 @@
-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
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<meta name=Description content=Aug-15-05>
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
<!--.sld
	{left:0px !important;
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<script language=JavaScript src=script.js></script><script language=JavaScript><!--

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-</script><script for=window event=onload language=JavaScript><!--

-if( !IsSldOrNts() ) return;
-if( MakeNotesVis() ) return;
-LoadSld( gId );
-playList();MakeSldVis(1);
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-</script>
</head>

<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:0%;left:.79%;width:93.64%;height:14.48%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:292;
mso-text-indent-alt:0;position:absolute;top:0%;left:1.13%;width:97.59%;
height:51.21%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Correlations of </span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> with classical traits</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

<img border=0 src="slide0015_image034.png" style='position:absolute;top:28.97%;
left:4.1%;width:78.27%;height:70.84%'><img border=0 src="slide0015_image035.png"
style='position:absolute;top:8.12%;left:4.1%;width:33.5%;height:19.61%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Going back to the Trait
  Data and Analysis Form window, we have computed the correlations between
  strain variation in App expression level and other classical phenotypes that
  have already been measured in many of the same BXD strains.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=3>1.</font><font
  face=Helvetica size=3>The number of common strains varies widely--in this
  case from 14 to 23 strains.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>2. We can add these
  traits (four are selected) to our BXD SELECTIONS window.</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
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--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0015_notes_pane.htm
+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Going back to the Trait
  Data and Analysis Form window, we have computed the correlations between
  strain variation in App expression level and other classical phenotypes that
  have already been measured in many of the same BXD strains.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Arial size=2>1.</font><font
  face=Helvetica size=2>The number of common strains varies widely--in this
  case from 14 to 23 strains.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>2. We can add these
  traits (four are selected) to our BXD SELECTIONS window.</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0016.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0016.htm
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-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
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-</script>
<meta name=Description content=Aug-15-05>
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
<!--.sld
	{left:0px !important;
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</head>

<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:0%;left:.79%;width:99.47%;height:10.24%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:292;
mso-text-indent-alt:0;position:absolute;top:0%;left:1.06%;width:98.66%;
height:72.41%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Network Graph of </span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> with classical traits</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

<img border=0 src="slide0016_image036.png" style='position:absolute;top:8.3%;
left:3.31%;width:88.21%;height:90.63%'></div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>We have computed the
  Network Graph, now using other types of traits.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Saline Hot Plate Latency
  is the green node labeled 10020.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Freezing (fear) is the
  green node labeled 10447.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
  </td>
 </tr>
</table>

</div>

<script language=JavaScript><!--

-function playList() {
-
-}
-//-->

-</script>
</body>

</html>
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deleted file mode 100755
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--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0016_image036.png
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+++ /dev/null
@@ -1,5 +0,0 @@
-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
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-</script>
</head>

<body bgcolor=black text=white>

<table border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>We have computed the
  Network Graph, now using other types of traits.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Saline Hot Plate Latency
  is the green node labeled 10020.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Freezing (fear) is the
  green node labeled 10447.</font><br>
  </td>
 </tr>
 <tr>
  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=2>Notes:</font><br>
  </td>
 </tr>
</table>

</body>

</html>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0017.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0017.htm
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-<html>

<head>
<meta http-equiv=Content-Type content="text/html; charset=macintosh">
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
<link title="Presentation File" type="application/powerpoint" rel=alternate
href="webqtl_demo2_part1.ppt.ppt">
<script>
-if ( ! top.PPTPRESENTATION ) {
-	window.location.replace( "endshow.htm" );
-}
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<meta name=Description content=Aug-15-05>
<link rel=Stylesheet href="master03_stylesheet.css">
<style media=print>
<!--.sld
	{left:0px !important;
	width:6.0in !important;
	height:4.5in !important;
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</style>
<script language=JavaScript src=script.js></script><script language=JavaScript><!--

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</head>

<body style='margin:0px;background-color:black' onclick="DocumentOnClick(event)"
onresize="_RSW()" onkeypress="_KPH(event)">

<div id=SlideObj class=sld style='position:absolute;top:0px;left:0px;
width:755px;height:566px;font-size:16px;background-color:#484848;clip:rect(0%, 101%, 101%, 0%);
visibility:hidden'><img src="master03_background.png" v:shapes="_x0000_s1026"
style='position:absolute;top:0%;left:0%;width:100.0%;height:100.0%'>

<div style='position:absolute;top:1.41%;left:3.31%;width:93.64%;height:14.48%;
filter:DropShadow(Color=#000000, OffX=1, OffY=1)'>

<div class=B style='mso-line-spacing:"-220 0 -216";mso-margin-left-alt:292;
mso-text-indent-alt:0;position:absolute;top:0%;left:1.13%;width:97.59%;
height:51.21%'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Summary of Part 1:</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

</div>

<div style='position:absolute;top:10.77%;left:8.47%;width:100.79%;height:47.87%'>

<div class=O1 style='mso-margin-left-alt:432'></div>

<div class=O2 style='mso-margin-left-alt:720'></div>

<div class=O3 style='mso-margin-left-alt:1008'></div>

<div class=O4 style='mso-margin-left-alt:1296'></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:0%;
left:0%;width:90.14%;height:11.07%'><span style='position:absolute;top:0%;
left:2.76%;width:97.23%'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.84%;font-family:Arial'>1.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You have learned the basics
about searching for traits<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:11.43%;
left:0%;width:84.88%;height:11.07%'><span style='position:absolute;top:0%;
left:2.94%;width:97.05%'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-3.03%;font-family:Arial'>2.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know some methods to check
data quality<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:22.5%;
left:0%;width:84.88%;height:11.07%'><span style='position:absolute;top:0%;
left:2.94%;width:97.05%'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-3.03%;font-family:Arial'>3.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to edit bad or
suspicious data<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:33.57%;
left:0%;width:90.01%;height:11.07%'><span style='position:absolute;top:0%;
left:2.77%;width:97.22%'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.85%;font-family:Arial'>4.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to review the
basic statistics of a trait<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:44.64%;
left:0%;width:93.56%;height:22.14%'><span style='position:absolute;top:0%;
left:2.66%;width:97.33%'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.74%;font-family:Arial'>5.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to generate a
scattergram between two </span></span><span style='position:absolute;
top:50.0%;left:2.66%;width:88.06%'><span style='font-family:"Gill Sans";
font-size:200%;color:#E9EB5D;mso-color-index:3'>traits using the Traits
Correlation tool<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:66.78%;
left:0%;width:100.0%;height:11.07%'><span style='position:absolute;top:0%;
left:2.49%;width:97.5%'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.56%;font-family:Arial'>6.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to add items to
your SELECTIONS window<br>
</span></span></div>

<div class=O style='mso-margin-left-alt:144;position:absolute;top:77.85%;
left:0%;width:99.34%;height:22.14%'><span style='position:absolute;top:0%;
left:2.51%;width:97.48%'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:"numbullet3\,1";
position:absolute;left:-2.57%;font-family:Arial'>7.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to generate a
Network Graph of traits that </span></span><span style='position:absolute;
top:51.66%;left:2.51%;width:82.93%'><span style='font-family:"Gill Sans";
font-size:200%;color:#E9EB5D;mso-color-index:3'>co-vary. </span></span></div>

</div>

<div class=O style='position:absolute;top:67.31%;left:5.96%;width:105.29%;
height:26.5%'><span style='position:absolute;top:0%;left:0%;width:100.0%'><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'>What does genetic covariance mean? The genetic covariance can </span></span><span
style='position:absolute;top:20.0%;left:0%;width:96.1%'><span style='font-family:
"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:3'>be functional and
mechanistic, but it can also be due to linkage </span></span><span
style='position:absolute;top:40.0%;left:0%;width:95.97%'><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'>disequilibrium. Finally, it can be due to sampling error or poor </span></span><span
style='position:absolute;top:60.66%;left:0%;width:87.92%'><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'>experimental design. Evaluate the biological plausibility of </span></span><span
style='position:absolute;top:80.66%;left:0%;width:85.28%'><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'>correlations. Test and be skeptical.</span></span></div>

</div>

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<head>
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filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";position:absolute;top:19.64%;
left:1.4%;width:97.47%;height:69.64%'><span style='font-size:73%'><i>Contact
for comments and improvements:</i></span><span style='font-size:82%;mso-special-format:
lastCR;display:none'><br>
</span></div>

</div>

<div style='position:absolute;top:16.6%;left:6.62%;width:90.19%;height:24.38%;
filter:DropShadow(Color=#000000, OffX=2, OffY=2)'>

<div class=T style='mso-line-spacing:"-358 0 -1";position:absolute;top:0%;
left:1.46%;width:97.35%;height:100.0%'><span style='position:absolute;
top:0%;left:0%;width:100.0%'><span style='font-size:82%'>rwilliam@nb.utmem.edu<br>
</span></span><span
style='position:absolute;top:34.05%;left:4.67%;width:95.47%'><span
style='font-size:82%'><br>
</span></span><span style='position:absolute;
top:68.11%;left:4.67%;width:95.47%'><span style='font-size:82%;mso-special-format:
lastCR;display:none'><br>
</span></span></div>

</div>

<div class=O style='position:absolute;top:27.56%;left:9.4%;width:50.59%;
height:7.77%'><span style='font-family:"Gill Sans";font-size:300%;color:#E9EB5D'>kmanly@utmem.edu</span></div>

<div class=O style='position:absolute;top:83.56%;left:4.37%;width:108.34%;
height:15.9%'><span style='position:absolute;top:0%;left:0%;width:90.83%'><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D'>The </span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D'><i>App</i></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D'> findings reviewed
in this presentation are part of an </span></span><span style='position:absolute;
top:33.33%;left:0%;width:100.0%'><span style='font-family:"Gill Sans";
font-size:200%;color:#E9EB5D'>ongoing study by R. Williams. R. Homayouni, and
R. Clark (July 15, </span></span><span style='position:absolute;top:66.66%;
left:0%;width:84.35%'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D'>2005)</span><span style='font-family:"Gill Sans";font-size:300%;
color:#E9EB5D;mso-special-format:lastCR;display:none'><br>
</span></span></div>

</div>

<div id=NotesObj style='display:none'>

<table style='color:white' border=0 width="100%">
 <tr>
  <td width=5 nowrap></td>
  <td width="100%"></td>
 </tr>
 <tr>
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-<html>

<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
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<head>
<meta name=ProgId content=PowerPoint.Slide>
<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
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<div style='text-align:left;font-family:"Gill Sans";font-weight:normal;
font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
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mso-text-raise:0%;mso-line-spacing:"-277 0 -1";mso-margin-left-alt:232;
mso-text-indent-alt:0;mso-line-spacing:"-277 0 -1";mso-margin-left-alt:232;
mso-text-indent-alt:0'><span style='font-size:105%'><i>GeneNetwork and WebQTL:</i></span><span
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</i></span></div>

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font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
mso-fareast-hint:no;layout-flow:horizontal;color:#FBFDB8;font-size:213%;
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56'><script>
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style='text-align:left'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
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style='text-align:left'><span style='font-size:106%;color:#E9EB5D;mso-color-index:
3'>covariation (slides 2&#8211;16)<br>
</span></span></layer></div>

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<div style='mso-line-spacing:"-256 0 -216";mso-margin-left-alt:348;mso-text-indent-alt:
56'><script>
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style='text-align:left'><span style='mso-special-format:nobullet;display:none;
color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Part 2. Discovering
upstream </span></span></layer><script>
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style='text-align:left'><span style='font-size:106%;color:#E9EB5D;mso-color-index:
3'>modulators (slides 17&#8211;30)</span><span style='font-size:94%;color:#E9EB5D;
mso-color-index:3;mso-special-format:lastCR;display:none'><br>
</span></span></layer></div>

</layer></div>

</layer></div>

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display:none'><br>
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:217%;
color:#E9EB5D;mso-color-index:3'><i>PowerPoint ÒNormal viewÓ has notes that may
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:217%;
color:#E9EB5D;mso-color-index:3'><i>useful companions to these slides.</i></span><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3;mso-special-format:lastCR;display:none'><br>
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mso-text-raise:0%'><span style='font-family:"Gill Sans";font-size:283%;
color:#E9EB5D'><i>a PowerPoint Presentation</i></span><span style='font-family:
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none'><i><br>
</i></span></div>

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<div><span style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;
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<div><span style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;
mso-color-index:3'><i>ftp://atlas.utmem.edu/public/webqtl_demo2.ppt </i></span><span
style='font-family:"Gill Sans";font-size:217%;color:#E9EB5D;mso-color-index:
3;mso-special-format:lastCR;display:none'><br>
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-

<layer>
 <div id=NotesObj style='display:none'>
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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Welcome to a short
   demonstration of the GeneNetwork and its WebQTL module. Please adjust the
   size of the windows on your monitor so that you can see part of this page,
   as well as GeneNetwork windows. WebQTL produces a large number of new
   windows, so you may need to modify your browser preferences to permit
   pop-ups. In this demonstration, we explore one important transcript
   expressed in the brain: the amyloid beta precursor protein messenger RNA. A
   protein product of this mRNA, the APP protein, is associated with
   AlzheimerÕs disease.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>My thanks to Dr. Robert
   F. Clark and Wenli Cai for testing this PowerPoint demonstration and making
   many improvements.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>(Initial version of
   June 2003 by Rob Williams. Edits July 13, 2005 by RW and RFC. Edit July 14,
   2005 by WC. Final edits by RF Clark, July 22, 2005.</font><br>
   </td>
  </tr>
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deleted file mode 100755
index e2cb435a..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0019_notes_pane.htm
+++ /dev/null
@@ -1,5 +0,0 @@
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<head>
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<meta name=Generator content="Microsoft Macintosh PowerPoint 11">
<link id=Main-File rel=Main-File href="webqtl_demo2_part1.ppt.htm">
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  <td align=left colspan=1><font face=Verdana size=2>END</font><br>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0020.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0020.htm
deleted file mode 100755
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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
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<div style='mso-line-spacing:"-224 0 0"'><span style='font-family:"Gill Sans";
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text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;color:#FBFDB8;
font-size:213%;mso-text-raise:0%;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
348;mso-text-indent-alt:0;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
348;mso-text-indent-alt:0'><span style='mso-special-format:nobullet;display:
none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>PART 1: How to study
variation and covariation</span></div>

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%;mso-line-spacing:"-224 0 0";mso-line-spacing:"-224 0 0"'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:217%;
color:#E9EB5D;mso-color-index:3'>Choose<span style="mso-spacerun: yes">&nbsp;
</span></span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:217%;
color:#E9EB5D;mso-color-index:3'>species, </span></span></layer><script>
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color:#E9EB5D;mso-color-index:3'>group, </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:217%;
color:#E9EB5D;mso-color-index:3'>and type</span></span></layer></div>

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 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
  <tr>
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   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Please link to the web
   site:<span style="mso-spacerun: yes">&nbsp;
   </span>http://www.genenetwork.org</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>To begin a search you
   make choices about what species, group, and database to explore.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>For this demonstration
   enter APP as above and click on the SEARCH button. Make sure that the
   DEFAULT SETTINGS are species = Mouse, Group = BXD, Type = Whole Brain, and
   Database = INIA BRAIN mRNA M430 (Apr05) PDNN.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>1. The GeneNetwork and
   WebQTL are often used to work with public data sets. However, it is possible
   to enter and analyze your own data for specific genetic reference
   populations such as the BXD genetic reference population of mice or the HXB
   strains of rat. Entering your own data is a more advanced topic, but if you
   click on the HOME pop-down menu (upper left), you will see ÒEnter Trait
   DataÓ that will explain the process.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>2.</font><font
   face=Helvetica size=3> For help on advanced searching methods read the left
   side of the page (INTRODUCTION).<span style="mso-spacerun: yes">&nbsp;
   </span>If you make a search term too complex, you may get no hits (try
   entering Òamyloid betaÓ for example). If you make it too simple, you may
   also get too many.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>3.</font><font
   face=Helvetica size=3> Use the asterisk * as a wildcard. For example, to
   find all <i>Hoxb</i> transcripts, search for Hoxb*.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>4.</font><font
   face=Helvetica size=3> In some cases you can also research for transcripts
   and genes using special search strings such as Ò</font><font face=Geneva
   size=3>Mb = (Chr1, 100 102)Ó to find all genes on Chromosome 1 between 98
   and 104 megabases (donÕt actually use the quotes). Details are described at </font><font
   face=Verdana size=3>http://www.genenetwork.org/searchHelp.html</font><font
   face=Geneva size=3>.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>5.<span
   style="mso-spacerun: yes">&nbsp;&nbsp; </span>These INFO buttons provide
   links to data about the different data types. Try them.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>6.<span
   style="mso-spacerun: yes">&nbsp; </span>The SET TO DEFAULT button is used to
   change the database default setting to match your typical search categories.</font><br>
   </td>
  </tr>
 </table>
 </div>
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Glossary, FAQ, and News</span></div>

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   <td align=left colspan=1><font face=Helvetica size=3>SHORT DETOUR to the
   HELP menu. If you are new to the GeneNetwork, you may find it helpful to
   review the The Glossary and FAQ pages shown above. We are in the process of
   making ÒliveÓ demos for some of the key modules in the GeneNetwork. Check
   the NEWS every month or two to find out about new features.</font><br>
   </td>
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  <tr>
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   <td align=left colspan=1><br>
   </td>
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</i></span></span></layer></div>

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display:none'><br>
</span></span></layer></div>

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<div style='text-align:left;font-family:"Gill Sans";font-weight:normal;
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mso-fareast-hint:no;layout-flow:horizontal;color:#E9EB5D;font-size:293%;
mso-text-raise:0%'><span style='font-size:82%'>Search results</span><span
style='mso-special-format:lastCR;display:none'><br>
</span></div>

</layer></div>

</layer></div>

</LAYER>

-

<layer>
 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
  <tr>
   <td width=5 nowrap></td>
   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>RESULTS OF THE APP
   SEARCH.<span style="mso-spacerun: yes">&nbsp; </span>A search of the INIA
   Brain database generates 18 matches, 10 of which are shown above. The
   GeneNetwork will display several hundred matches in pages of 40 each. If a
   search generates a larger numbers of hits, then you will need to refine
   search terms.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>1. APP is a great
   transcript to introduce you to the complexity and power of new array
   platforms that often provide ÒalternativeÓ expression estimates for single
   genes. There are seven probe sets that target different parts of the APP
   transcript. Which of the alternative measurements is most appropriate and
   informative? Have a look at the FAQ page for more on this topic, but general
   advice: 1. be skeptical and try to validate that the correct transcript and
   gene is being measured; 2. check what part of the transcript is
   complementary to the probes; 3. evaluate the performance of individual
   probes based on expression level, signal-to-noise and other error terms such
   as the standard deviation and error.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. In this particular
   case we have highlighted and selected # 5 on this SEARCH RESULTS page. The
   annotation for this probe set mentions that it targets the last three exons
   and the 3Õ untranslated region (UTR) of the amyloid precursor protein (APP).<span
   style="mso-spacerun: yes">&nbsp; </span>That is just what we want.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>3. Most probe sets have
   not been annotated in as much detail as App. Refer tot the FAQ to learn how
   to annotate probe sets yourself.</font><br>
   </td>
  </tr>
 </table>
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<script language=JavaScript><!--

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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0023.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0023.htm
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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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<div style='mso-special-format:nobullet;text-align:left;font-family:"Gill Sans";
font-weight:normal;font-style:normal;text-decoration:none;text-shadow:none;
text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;color:#FBFDB8;
font-size:213%;mso-text-raise:0%;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
348;mso-text-indent-alt:56;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
348;mso-text-indent-alt:56'><span style='mso-special-format:nobullet;
display:none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'>First page of data: The
Trait Data and Analysis Form</span><span style='font-size:106%;color:#E9EB5D;
mso-color-index:3;mso-special-format:lastCR;display:none'><br>
</span></div>

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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style='text-align:left'><span style='font-size:200%;color:#E9EB5D'><i>here<br>
</i></span></span></layer><script>
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<div><span style='font-size:200%;color:#E9EB5D'><i>to learn<br>
</i></span></div>

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<div><span style='font-size:200%;color:#E9EB5D'><i>about<br>
</i></span></div>

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<div><span style='font-size:200%;color:#E9EB5D'><i>data<br>
</i></span></div>

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<div><span style='font-size:200%;color:#E9EB5D'><i>source</i></span></div>

</layer></div>

</layer></div>

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</LAYER>

-

<layer>
 <div id=NotesObj style='display:none'>
 <table style='color:white' border=0 width="100%">
  <tr>
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   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>The Trait Data and
   Analysis Form is the single most important page from the point of view of
   working with GeneNetwork data. Please read the text carefully. Explore the
   links, but do not close this page. We will need it many more times in this
   demonstration.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>1. What is this
   database? It is called INIA Brain mRNA M430 (Apr05) PDNN, but what does that
   actually mean. How much of the brain was used? How were the animals
   processed? Most of these types of questions can be answered by clicking on
   the DATABASE link.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. Transcript/gene
   LOCATION data is usually from the most recent assembly. You can VERIFY the
   location of the probes and probe set using the two VERIFY buttons. VERIFY
   UCSC performs a sequence alignment (BLAT analysis) of the probes to the most
   recent assembly.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>3. The PROBE TOOL
   button provides you with highly detailed information on the probe sequences
   used to assemble the probe set. For example, in this case you can find out
   which probes correspond to which of the three exons. You can also review the
   performance of the individual probes. Please check the GLOSSARY for
   additional details on probes.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>4. The identifiers
   (IDs) provide links to other key resources.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
 </table>
 </div>
</layer>

<script language=JavaScript><!--

-//-->

-</script><script language=JavaScript><!--

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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0024.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0024.htm
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@@ -1,93 +0,0 @@
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<head>
<meta name=ProgId content=PowerPoint.Slide>
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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
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348;mso-text-indent-alt:56'><span style='mso-special-format:nobullet;
display:none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Data sources: Metadata
for each resource</span></div>

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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Most of the database
   components and resources in The GeneNetwork are linked to metadata pages
   that provide a human-readable summary of how, why, where, when, and with
   whom the data were generated. Before you get too involved with a data set,
   it is naturally important to read this information. While the data in The
   GeneNetwork may be accessible and useful, that does not always mean that the
   data is public domain and available for you to use in publication or for
   profit purposes. If you want to know more about the data ownership and
   usage, please read through the POLICIES pop-down menu items.</font><br>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0025.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0025.htm
deleted file mode 100755
index 32820d64..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0025.htm
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style='font-size:94%;color:#E9EB5D;mso-color-index:3'> on the Trait Data form</span><span
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:183%;
color:#E9EB5D;mso-color-index:3'>Trait data for each strain with SE when known.
For array data the scale is </span></span></layer><script>
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color:#E9EB5D;mso-color-index:3'>~ log base 2.<span style="mso-spacerun:
yes">&nbsp;&nbsp; </span></span><span style='font-size:167%;color:#E9EB5D;
mso-color-index:3'>F1 data = 16.723 = 2^16.723 = 108,174</span></span></layer></div>

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   <td align=left colspan=1><font face=Helvetica size=3>This slide shows you
   the lower parts of the Trait Data and Analysis Form with the data for the
   first set of BXD strains</font><br>
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  </tr>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0026.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0026.htm
deleted file mode 100755
index 7dac49e1..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0026.htm
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@@ -1,130 +0,0 @@
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:150%;
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:150%;
color:#E9EB5D;mso-color-index:3'>replication (no error bar)</span><span
style='font-size:150%;color:#E9EB5D;mso-color-index:3'>. BXD33 is also
suspiciously low. BXD5 is noisy. </span><span style='font-family:"Gill Sans";
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display:none'><br>
</span></span></layer></div>

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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>The Basic Statistics
   page allows you to evaluate some aspects of the data quality. In this case,
   BXD8 is a potential problem. An outlier of this type may be generated by a
   technical artifact (bad sample?). However, it is also possible that BXD8
   just has genuine low endogenous expression of App and may therefore be a
   particularly valuable model for research. There are different ways to treat
   problematic data of these types. One way is simply to discard this datum.
   The other way is to prevent outliers from have too much influence
   quantitatively, while leaving them in their low (or high positions). This is
   called windsorizing the data (after King Henry the VIII who had a habit of
   chopping heads). In this case, we have windsorized the BXD8 to a value of 16.0
   and the BXD33 to a value of 16.02. Rank is retained. We are making a bet
   that the two lowest strains are really low, but we are hedging our bet and
   just making them a little lower than BXD90. This removes their ÒundueÓ
   influence.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>1. It turns out that
   BXD8 is a strain with many odd phenotypes. The whole strain is essentially
   an outlier for many traits. Therefore, the low App expression data may be
   quite accurate. Still, it would be comforting to have at least two more
   replicates.</font><br>
   </td>
  </tr>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0027.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0027.htm
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windsorizing</span></div>

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   <td align=left colspan=1><font face=Helvetica size=3>Now we get a much
   better feel for the variation in the error among the cases. Those without
   error bars are of course the ÒnoisiestÓ of all. This data set is not
   complete yet (the aim is to acquire at least one male-female sample for each
   BXD strain).</font><br>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0028.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0028.htm
deleted file mode 100755
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expression patterns</span></div>

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 <div id=NotesObj style='display:none'>
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   <td width="100%"></td>
  </tr>
  <tr>
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   <td align=left colspan=1><font face=Helvetica size=3>Finally, we can now
   start an analysis.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>We ask a simple
   question:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Do differences in this
   particular App transcript steady-state abundance level correlate with those
   of any other transcripts in the same INIA Brain mRNA M430 data set?</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Helvetica size=3>You can CHOOSE many other DATABASES at this point if
   you want, but for now letÕs stick with the default.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. There are different
   ways to sort the correlations. The most obvious is by p-value (most
   significant values at the top of the list), but it is also interesting to
   sort the top 100 or top 500 by their gene symbol (gene ID) or by their
   chromosomal location (position).</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>3. If you donÕt want
   your analysis to be sensitive to outliers, then you may want to choose to
   use the Spearman Rank Order method of calculating correlations.</font><br>
   </td>
  </tr>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0029.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0029.htm
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  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>The Traits Correlation
   output window (Correlation Results) compares App expression data with all
   other traits in this INIA Brain data set. The most significant 100 or 500
   transcripts are sorted by their p-values. The top correlation is that of the
   probe set to itself (often a value of 1.0, but in this case we modified the
   App values manually by windsorizing the data). The next best correlation is
   to another App probe set. The fourth correlation is interesting and suggests
   that there may be a link between App and a particular type of ataxia
   (Atcay).</font><br>
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  </tr>
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   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Helvetica size=3>Use the checkboxes to the far left to select traits
   that you want to study together. Once you have selected interesting traits,
   click on the ADD SELECTION button. This puts all of the selected traits into
   a SELECTIONS WINDOW for other types of analysis.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. The p-value is not
   corrected for multiple tests. A conservative approach for array data would
   be to assume 10,000 nominally independent tests. Subtract 4 from the
   exponent and if the value is still smaller than 0.05 you may have a real
   correlation.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>3. The LITERATURE
   CORRELATION is a data type generated by Drs. Ramin Homayouni and Michael
   Berry. Click on the header column by the asterisk for more information on
   this highly useful data type.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>4. We are using Pearson
   product moment correlations rather that the Spearman rank order correlation.
   But you can select either in the previous step.</font><br>
   </td>
  </tr>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0030.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0030.htm
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style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>Atcay</i></span><span
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   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>By clicking on the
   CORRELATION of the Atcay transcript to the App transcript, you can generate
   a Correlation plot between these two transcripts. In this App and Atcay
   scatterplot, each point is a strain mean value. For example, BXD33 and BXD8
   have low App and Atcay expressions. The two parental strains and the F1 are
   also included in this plot.</font><br>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0031.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0031.htm
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display:none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'> transcript and eight of
its neighbors</span></div>

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 <div id=NotesObj style='display:none'>
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   <td width="100%"></td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>A group of traits from
   many different databases can be selected and brought together for joint
   analysis. In this case all of the content of the BXD SELECTIONS is from a
   single BRAIN database, the top 20 neighbors of the App transcript from the
   Correlation Results table. Eight of these neighbors plus App is shown in the
   slide.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Helvetica size=3>All of items in the BXD SELECTIONS were selected using
   the SELECT ALL button</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. The buttons at the
   top (and bottom) of this page can do some cool stuff. We will work with
   NETWORK GRAPH first.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>3. Think of the
   SELECTIONS as your shopping cart. You go to different aisles in the
   supermarket to acquire different types of items of interest. These could
   include transcripts, classical phenotypes (longevity, brain weight, prepulse
   inhibition, iron levels in midbrain). ÒChecking outÓ in this case involves
   doing some analysis with the items in the cart.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>4. Different tools
   handle different numbers of items. Most will handle up to 100 traits.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
 </table>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0032.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0032.htm
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mso-text-raise:0%'><span style='font-size:82%'><i>App</i></span><span
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style='mso-special-format:lastCR;display:none'><br>
</span></div>

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 <div id=NotesObj style='display:none'>
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  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Output of the Network
   Graph. Warm colors (orange and red) are positive correlations above 0.5
   whereas cool colors (green and blue) are negative correlations. Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Helvetica size=3> All of the nodes (gene/transcripts) on this graph are
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   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. For this graph the
   App expression values have ÒrevertedÓ to their pre-Windsorized values.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>3. To generate this
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   </span>Size of 16 by 16 inches; Gene Symbols; Don't Show Correlations; Use
   curved lines (aka ÒedgesÓ).</font><br>
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 </table>
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-//-->

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\ No newline at end of file
diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0033.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0033.htm
deleted file mode 100755
index 042ca4ad..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0033.htm
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<div style='mso-special-format:nobullet;text-align:left;font-family:"Gill Sans";
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style='font-size:106%;color:#E9EB5D;mso-color-index:3'> with classical traits</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

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  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Going back to the Trait
   Data and Analysis Form window, we have computed the correlations between
   strain variation in App expression level and other classical phenotypes that
   have already been measured in many of the same BXD strains.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Arial size=3>1.</font><font
   face=Helvetica size=3>The number of common strains varies widely--in this
   case from 14 to 23 strains.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>2. We can add these
   traits (four are selected) to our BXD SELECTIONS window.</font><br>
   </td>
  </tr>
 </table>
 </div>
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-//-->

-</script><script language=JavaScript><!--

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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0034.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0034.htm
deleted file mode 100755
index 3cf1ac70..00000000
--- a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0034.htm
+++ /dev/null
@@ -1,93 +0,0 @@
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<head>
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292;mso-text-indent-alt:0;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
292;mso-text-indent-alt:0'><span style='mso-special-format:nobullet;display:
none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Network Graph of </span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'><i>App</i></span><span
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display:none'><br>
</span></div>

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   </td>
  </tr>
  <tr>
   <td colspan=1></td>
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  </tr>
  <tr>
   <td colspan=1></td>
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diff --git a/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0035.htm b/web/tutorial/ppt/html/webqtl_demo2_part1.ppt_files/slide0035.htm
deleted file mode 100755
index ca5ac8bb..00000000
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292;mso-text-indent-alt:0'><span style='mso-special-format:nobullet;display:
none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Summary of Part 1:</span><span
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display:none'><br>
</span></div>

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3'><span style="mso-spacerun: yes">&nbsp;</span>You have learned the basics
about searching for traits<br>
</span></span></layer></div>

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3'><span style="mso-spacerun: yes">&nbsp;</span>You know some methods to check
data quality<br>
</span></span></layer></div>

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position:absolute;left:-3.03%;font-family:Arial'>3.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to edit bad or
suspicious data<br>
</span></span></layer></div>

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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
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position:absolute;left:-2.85%;font-family:Arial'>4.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to review the
basic statistics of a trait<br>
</span></span></layer></div>

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color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
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style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to generate a
scattergram between two </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>traits using the Traits Correlation tool<br>
</span></span></layer></div>

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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.56%;font-family:Arial'>6.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to add items to
your SELECTIONS window<br>
</span></span></layer></div>

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<div style='mso-special-format:numbullet;font-family:Arial;text-align:left;
font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.57%;font-family:Arial'>7.</span></span><span
style='font-family:"Gill Sans";font-size:200%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>You know how to generate a
Network Graph of traits that </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>co-vary. </span></span></layer></div>

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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
mso-text-raise:0%'><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>What does genetic covariance mean? The genetic
covariance can </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>be functional and mechanistic, but it can also
be due to linkage </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>disequilibrium. Finally, it can be due to
sampling error or poor </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
color:#E9EB5D;mso-color-index:3'>experimental design. Evaluate the biological
plausibility of </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:200%;
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