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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
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292;mso-text-indent-alt: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
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   <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>
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   <td align=left colspan=1><font face=Helvetica size=3>Notes:</font><br>
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   <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>
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   <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>
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