--- a/tools/networkAnalysis/CompoundNet/CompoundNet.xml	Fri Jun 10 10:31:34 2022 +0000
+++ b/tools/networkAnalysis/CompoundNet/CompoundNet.xml	Mon Jun 27 13:41:08 2022 +0000
@@ -1,11 +1,11 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<tool id="met4j_CompoundNet" name="CompoundNet" version="0.11.0">
+<tool id="met4j_CompoundNet" name="CompoundNet" version="0.12.0">
   <description>Advanced creation of a compound graph representation of a SBML file content</description>
   <xrefs>
     <xref type="bio.tools">met4j</xref>
   </xrefs>
   <requirements>
-    <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:0.11.0</container>
+    <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:0.12.0</container>
   </requirements>
   <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.CompoundNet -s "$inputPath"
 #if str($inputSide) != 'None':
@@ -74,4 +74,5 @@
   <help><![CDATA[Metabolic networks used for quantitative analysis often contain links that are irrelevant for graph-based structural analysis. For example, inclusion of side compounds or modelling artifacts such as 'biomass' nodes.
 While Carbon Skeleton Graph offer a relevant alternative topology for graph-based analysis, it requires compounds' structure information, usually not provided in model, and difficult to retrieve for model with sparse cross-reference annotations.
 In contrary to the SBML2Graph app that performs a raw conversion of the SBML content, the present app propose a fine-tuned creation of compound graph from predefined list of side compounds and degree² weighting to get relevant structure without structural data.This app also enable Markov-chain based analysis of metabolic networks by computing reaction-normalized transition probabilities on the network.]]></help>
+  <citations/>
 </tool>