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authorzsloan2015-03-27 20:28:51 +0000
committerzsloan2015-03-27 20:28:51 +0000
commitd0911a04958a04042da02a334ccc528dae79cc17 (patch)
tree3c48e2e937c1dbeaf00a5697c87ed251afa5c8f1 /web/heatmap.html
parenta840ad18e1fe3db98a359a159e9b9b72367a2839 (diff)
downloadgenenetwork2-d0911a04958a04042da02a334ccc528dae79cc17.tar.gz
Removed everything from 'web' directory except genofiles and renamed the directory to 'genotype_files'
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-<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
-<HTML><HEAD><TITLE>QTL heatmap</TITLE>
-<META http-equiv=Content-Type content="text/html; charset=iso-8859-1">
-<LINK REL="stylesheet" TYPE="text/css" HREF='css/general.css'>
-<LINK REL="stylesheet" TYPE="text/css" HREF='css/menu.css'>
-<SCRIPT SRC="javascript/webqtl.js"></SCRIPT>
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-</HEAD>
-<BODY bottommargin="2" leftmargin="2" rightmargin="2" topmargin="2" text=#000000 bgColor=#ffffff>
-<TABLE cellSpacing=5 cellPadding=4 width="100%" border=0>
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- <Table width= "100%" cellSpacing=0 cellPadding=5><TR>
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- <TD valign="top" height="200" width="100%" bgcolor="#eeeeee">
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- <P class="title">What is QTL heatmap? <A HREF="/webqtl/main.py?FormID=editHtml"><img src="images/modify.gif" alt="modify this page" border= 0 valign="middle"></A></P>
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-<Blockquote>
-The upper part of this page includes a hierarchical cluster tree of the set of traits you selected in the previous window. To generate this plot, we initially compute distances between pairs of traits using (1 - r) where r is the Pearson product-moment correlation. The hierarchy is assembled by successively linking traits and groups of traits.
-<P></P>
-The lower part of this page provides a QTL heat map for all members of the Cluster Tree, extending from proximal Chr 1 at the top to distal Chr X at the bottom. Each vertical column or stripe encodes the genome-wide p value computed on the basis of 1000 permutations. Orange triangles mark the approximate location of genes.
-<P></P>
-These QTL heat maps can be redrawn using alternative color assignments using the "Redraw Cluster Tree" option. The default heat map is "Grey + Blue + Red" in which more intense colors mark chromosomal regions with comparatively high linkage statistics and the spectrum encodes the allelic effect. For example, blue-green regions are those in which one of the parental alleles (e.g., C57BL/6J) is associated with higher trait values, whereas red-yellow regions are those in which the other parental allele is associated with higher trait values. Grey and black regions have insignfiicant linkage to trait variance. The "Blue + Red" option is similar but the entire genome is encoded for allele polarity, including regions without significant linkage. Finally, " Single Spectrum" provides a plot that does not distinguish between allelic effects and encodes the p values, ranging from insignificant (dark blue) to genome-wide significant (bright red).
-<P></P>
-</Blockquote>
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