Mercurial > repos > iuc > idr
diff idr.xml @ 1:de7795890bc5 draft default tip
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/idr/ commit 29f0ab9141fd270da200f3daa4c43b80ba9cf3c4"
author | iuc |
---|---|
date | Mon, 23 Nov 2020 22:51:17 +0000 |
parents | d3ebbf39b1c5 |
children |
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--- a/idr.xml Tue Aug 22 05:20:25 2017 -0400 +++ b/idr.xml Mon Nov 23 22:51:17 2020 +0000 @@ -95,7 +95,7 @@ <param name="rank" value="default" /> <param name="plot" value="True" /> <output name="idr_values" file="idr_out1.bed" ftype="bed" /> - <output name="idr_plot" file="idr_out1.png" ftype="png" /> + <output name="idr_plot" file="idr_out1.png" ftype="png" compare="sim_size" delta="1000"/> </test> <test> <param name="primus" value="idr_input2.1.bed" ftype="bed" /> @@ -103,7 +103,7 @@ <param name="rank" value="default" /> <param name="plot" value="True" /> <output name="idr_values" file="idr_out2.bed" ftype="bed" /> - <output name="idr_plot" file="idr_out2.png" ftype="png" /> + <output name="idr_plot" file="idr_out2.png" ftype="png" compare="sim_size" delta="1000"/> </test> <test> <param name="primus" value="idr_input3.1.bed" ftype="bed" /> @@ -112,7 +112,7 @@ <param name="rank" value="default" /> <param name="plot" value="True" /> <output name="idr_values" file="idr_out3.bed" ftype="bed" /> - <output name="idr_plot" file="idr_out3.png" ftype="png" /> + <output name="idr_plot" file="idr_out3.png" ftype="png" compare="sim_size" delta="1000"/> </test> <test> <param name="primus" value="idr_input4.1.gff" ftype="gff" /> @@ -121,12 +121,12 @@ <param name="rank" value="default" /> <param name="plot" value="True" /> <output name="idr_values" file="idr_out4.gff" ftype="gff" /> - <output name="idr_plot" file="idr_out4.png" ftype="png" /> + <output name="idr_plot" file="idr_out4.png" ftype="png" compare="sim_size" delta="1000"/> </test> </tests> <help> <![CDATA[ -The `IDR <https://github.com/nboley/idr/blob/master/README.md>`__ (Irreproducible Discovery Rate) framework is a unified approach to measure the reproducibility of findings identified from replicate experiments and provide highly stable thresholds based on reproducibility. Unlike the usual scalar measures of reproducibility, the IDR approach creates a curve, which quantitatively assesses when the findings are no longer consistent across replicates. +The `IDR <https://github.com/nboley/idr/blob/master/README.md>`__ (Irreproducible Discovery Rate) framework is a unified approach to measure the reproducibility of findings identified from replicate experiments and provide highly stable thresholds based on reproducibility. Unlike the usual scalar measures of reproducibility, the IDR approach creates a curve, which quantitatively assesses when the findings are no longer consistent across replicates. ]]> </help> <citations>