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authorzsloan2020-10-15 14:40:09 -0500
committerzsloan2020-10-15 14:40:09 -0500
commite2d0dd24dd181322daf40a282370e79df23fc172 (patch)
treebab1af0ddf0d8fd433745c408bbbe55d2703defe /wqflask
parent9d94339ea0fe9f04d1f5f5fcb70c743ab720086e (diff)
downloadgenenetwork2-e2d0dd24dd181322daf40a282370e79df23fc172.tar.gz
Put the correlation descriptions inside of a div so that they could have their width set in the same way as other sections of the correlation/mapping options
Diffstat (limited to 'wqflask')
-rw-r--r--wqflask/wqflask/templates/show_trait_calculate_correlations.html62
1 files changed, 32 insertions, 30 deletions
diff --git a/wqflask/wqflask/templates/show_trait_calculate_correlations.html b/wqflask/wqflask/templates/show_trait_calculate_correlations.html
index 00fdfc21..600664e2 100644
--- a/wqflask/wqflask/templates/show_trait_calculate_correlations.html
+++ b/wqflask/wqflask/templates/show_trait_calculate_correlations.html
@@ -114,35 +114,37 @@
</div>
</div>
<div class="col-xs-4">
- <span id="sample_r_desc" class="correlation_desc">
- The <a href="http://genenetwork.org/correlationAnnotation.html#genetic_r">Sample Correlation</a>
- is computed
- between trait data and any
- other traits in the sample database selected above. Use
- <a href="http://www.genenetwork.org/glossary.html#Correlations">Spearman
- Rank</a>
- when the sample size is small (&lt;20) or when there are influential outliers.
- </span>
- <span id="lit_r_desc" style="display: none;" class="correlation_desc">
- The <a href="http://genenetwork.org/correlationAnnotation.html#literatureCorr">Literature Correlation</a>
- (Lit r) between
- this gene and all other genes is computed<br>
- using the <a href="https://grits.eecs.utk.edu/sgo/sgo.html">
- Semantic Gene Organizer</a>
- and human, rat, and mouse data from PubMed.
- Values are ranked by Lit r, but Sample r and Tissue r are also displayed.<br>
- <a href="http://genenetwork.org/glossary.html#Literature">More on using Lit r</a>
- </span>
- <span id="tissue_r_desc" style="display: none;" class="correlation_desc">
- The <a href="http://genenetwork.org/webqtl/main.py?FormID=tissueCorrelation">Tissue Correlation</a>
- (Tissue r)
- estimates the similarity of expression of two genes
- or transcripts across different cells, tissues, or organs
- (<a href="http://genenetwork.org/correlationAnnotation.html#tissueCorr">glossary</a>).
- Tissue correlations
- are generated by analyzing expression in multiple samples usually taken from single cases.<br>
- <strong>Pearson</strong> and <strong>Spearman Rank</strong> correlations have been
- computed for all pairs of genes using data from mouse samples.<br>
- </span>
+ <div class="section-form-div">
+ <span id="sample_r_desc" class="correlation_desc">
+ The <a href="http://genenetwork.org/correlationAnnotation.html#genetic_r">Sample Correlation</a>
+ is computed
+ between trait data and any
+ other traits in the sample database selected above. Use
+ <a href="http://www.genenetwork.org/glossary.html#Correlations">Spearman
+ Rank</a>
+ when the sample size is small (&lt;20) or when there are influential outliers.
+ </span>
+ <span id="lit_r_desc" style="display: none;" class="correlation_desc">
+ The <a href="http://genenetwork.org/correlationAnnotation.html#literatureCorr">Literature Correlation</a>
+ (Lit r) between
+ this gene and all other genes is computed<br>
+ using the <a href="https://grits.eecs.utk.edu/sgo/sgo.html">
+ Semantic Gene Organizer</a>
+ and human, rat, and mouse data from PubMed.
+ Values are ranked by Lit r, but Sample r and Tissue r are also displayed.<br>
+ <a href="http://genenetwork.org/glossary.html#Literature">More on using Lit r</a>
+ </span>
+ <span id="tissue_r_desc" style="display: none;" class="correlation_desc">
+ The <a href="http://genenetwork.org/webqtl/main.py?FormID=tissueCorrelation">Tissue Correlation</a>
+ (Tissue r)
+ estimates the similarity of expression of two genes
+ or transcripts across different cells, tissues, or organs
+ (<a href="http://genenetwork.org/correlationAnnotation.html#tissueCorr">glossary</a>).
+ Tissue correlations
+ are generated by analyzing expression in multiple samples usually taken from single cases.<br>
+ <strong>Pearson</strong> and <strong>Spearman Rank</strong> correlations have been
+ computed for all pairs of genes using data from mouse samples.<br>
+ </span>
+ </div>
</div>
</div> \ No newline at end of file