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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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348;mso-text-indent-alt:56;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
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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'> 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>

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   <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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