--- a/mixomics_plotvar.xml	Fri Oct 23 11:26:18 2020 +0000
+++ b/mixomics_plotvar.xml	Tue Nov 17 13:01:44 2020 +0000
@@ -1,4 +1,4 @@
-<tool id="mixomics_plotvar" name="mixOmics plotVar" version="@TOOL_VERSION@+galaxy1" profile="16.04" workflow_compatible="true">
+<tool id="mixomics_plotvar" name="mixOmics plotVar" version="@TOOL_VERSION@+galaxy2" profile="16.04" workflow_compatible="true">
 
     <description>provides variables representation for (regularized) CCA, (sparse) PLS regression, PCA and (sparse) Regularized generalised CCA</description>
 
@@ -21,20 +21,18 @@
 
         --output_pdf $output_pdf
 
-        @COMMAND_LOG_EXIT@
-
     ]]></command>
 
     <inputs>
         <param name="input_rdata" type="data" format="rdata"
                label="Input RData file from (sparse)(I)PCA, (regularized)CCA, (sparse)PLS(DA) or (sparse)(R)GCCA(DA)"
-               help="This is the RData output file from the block.splsda function." />
+               help="this is the RData output file from the block.splsda function" />
         <section name="adv" title="Advanced Options" expanded="false">
             <param name="legend" type="boolean" checked="true" truevalue="--legend" falsevalue=""
                    label="Plot legend" />
             <param name="cutoff" type="float" value="0" min="0" max="1"
                    label="Cut-off"
-                   help="Only selected variables whose correlation with the first or second axis is greater than Cut-off in absolute value will be plotted." />
+                   help="only selected variables whose correlation with the first or second axis is greater than Cut-off in absolute value will be plotted" />
         </section>
     </inputs>
 
@@ -61,8 +59,8 @@
 Description
 -----------
 
-The plotVar function is part of the mixOmics package for exploration and integration of Omics datasets.
-Provides variables representation for (regularized) CCA, (sparse) PLS regression, PCA and (sparse) Regularized generalised CCA.
+This tool allows visualizing the variables of a omics dataset which are correlated with the variables
+of the other omic datasets and the response variable in a correlation circle.
 
 -----------------
 Workflow position