--- a/goprofiles.xml	Mon Mar 04 08:20:52 2019 -0500
+++ b/goprofiles.xml	Fri Jun 28 05:11:15 2019 -0400
@@ -1,4 +1,4 @@
-<tool id="goProfiles" name="Statistical analysis of functional profiles" version="2019.02.27.1">
+<tool id="goProfiles" name="Statistical analysis of functional profiles" version="2019.06.27">
     <description>(Human, Mouse) [goProfiles]</description>
     <requirements> 
         <requirement type="package" version="3.4.1">R</requirement>
@@ -70,7 +70,7 @@
                 </param>
             </when>            
         </conditional>
-        <param name="duplicate" type="boolean" label="Remove duplicated IDs" truevalue="TRUE" falsevalue="FALSE" />
+        <param name="duplicate" type="boolean" checked="true" label="Remove duplicated IDs" truevalue="TRUE" falsevalue="FALSE" />
         <param name="species" type="select" label="Species">
             <option value="org.Hs.eg.db">Human (Homo sapiens)</option>
             <option value="org.Mm.eg.db">Mouse (Mus musculus)</option>
@@ -146,7 +146,7 @@
 
 **Description**
 
-This tool is based on the goProfiles R package; it performs statistical analysis of functional profiles based on Gene Ontology (GO). Functional profile at a given GO level is obtained by counting the
+This tool relies on the goProfiles R package; it performs statistical analysis of functional profiles based on Gene Ontology (GO). Functional profile at a given GO level is obtained by counting the
 number of identifiers having a hit in each category of this level.   
 
 -----
@@ -154,7 +154,11 @@
 **Input** 
 
 Two modes are allowed: either by copy/pasting your IDs (separated by a space) or by supplying a tabular file (.csv, .tsv, .txt, .tab) including your IDs (identifiers).
-Only entrez gene ID (e.g : 4151) or Uniprot accession number (e.g. P31946) are allowed. If your list is not in this form, please use the ID_Converter tool of ProteoRE. 
+Only entrez gene ID (e.g. 4151) or Uniprot accession number (e.g. P31946) are allowed. If your list is not in this form, please use the ID_Converter tool of ProteoRE. 
+
+.. class:: warningmark
+	
+In copy/paste mode, the number of IDs considered in input is limited to 5000.
 
 -----
 
@@ -172,7 +176,18 @@
 
 Diagram output: graphical output in the form of bar-plot or dot-plot (png (default format), jpeg or pdf format), one figure for each GO category. 
 
-text output: with the following information GO category description (e.g.BP.Description), GO term identifier (e.g. BP.GOID) and GO term frequency (e.g. BP.Frequency)
+Text output: with the following information GO category description (e.g.BP.Description), GO term identifier (e.g. BP.GOID) and GO term frequency (e.g. BP.Frequency)
+
+-----
+
+.. class:: infomark
+
+Packages used: 
+    - bioconductor-org.hs.eg.db v3.5.0
+    - bioconductor-org.mm.eg.db v3.5.0
+    - bioconductor-annotationdbi v1.40.0
+    - bioconductor-biobase v2.98.0
+    - goprofiles v1.38.0
 
 -----
 
@@ -188,14 +203,13 @@
 
 **Galaxy integration**
 
-T.P. Lien Nguyen, Florence Combes, Yves Vandenbrouck CEA, INSERM, CNRS, Grenoble-Alpes University, BIG Institute, FR
+D. Christiany, T.P. Lien Nguyen, Florence Combes, Yves Vandenbrouck CEA, INSERM, CNRS, Grenoble-Alpes University, BIG Institute, FR
 
 Sandra Dérozier, Olivier Rué, Christophe Caron, Valentin Loux INRA, Paris-Saclay University, MAIAGE Unit,Migale Bioinformatics platform, FR
 
 This work has been partially funded through the French National Agency for Research (ANR) IFB project.
 
-Contact support@proteore.org for any questions or concerns about the Galaxy implementation of this tool.
-
+Help: contact@proteore.org for any questions or concerns about this tool.
     ]]></help>
     <citations>
     </citations>