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