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authorroot2012-05-08 18:39:56 -0500
committerroot2012-05-08 18:39:56 -0500
commitea46f42ee640928b92947bfb204c41a482d80937 (patch)
tree9b27a4eb852d12539b543c3efee9d2a47ef470f3 /web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0010.htm
parent056b5253fc3857b0444382aa39944f6344dc1ceb (diff)
downloadgenenetwork2-ea46f42ee640928b92947bfb204c41a482d80937.tar.gz
Add all the source codes into the github.
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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.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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+</script> <meta name=Description content="Aug-15-05: Evaluating Ctbp2 as a candidate QTL for App"> <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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+</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: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> <script language=JavaScript><!--
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