--- a/build/tools/MetaboRank/MetaboRank.xml	Tue Jul 04 10:21:26 2023 +0000
+++ b/build/tools/MetaboRank/MetaboRank.xml	Wed Jul 26 15:33:45 2023 +0000
@@ -1,11 +1,11 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<tool id="met4j_MetaboRank" name="MetaboRank" version="1.4.0">
+<tool id="met4j_MetaboRank" name="MetaboRank" version="1.5.0">
   <description>Compute the MetaboRank, a custom personalized PageRank for metabolic network.</description>
   <xrefs>
     <xref type="bio.tools">met4j</xref>
   </xrefs>
   <requirements>
-    <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:1.4.0</container>
+    <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:1.5.0</container>
   </requirements>
   <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.MetaboRank -i "$sbmlFilePath"
  -s "$seedsFilePath"
@@ -59,6 +59,7 @@
 The MetaboRank takes a metabolic network and a list of compounds of interest, and provide a score of relevance for all of the other compounds in the network.
 The MetaboRank can, from metabolomics results, be used to fuel a recommender system highlighting interesting compounds to investigate, retrieve missing identification and drive literature mining.
 It is a two dimensional centrality computed from personalized PageRank and CheiRank, with special transition probability and normalization to handle the specificities of metabolic networks.
+For convenience, a one dimensional centrality rank is also computed from the highest rank from PageRank or CheiRank, and using lowest rank as tie-breaker.
 See publication for more information: Frainay et al. MetaboRank: network-based recommendation system to interpret and enrich metabolomics results, Bioinformatics (35-2), https://doi.org/10.1093/bioinformatics/bty577]]></help>
   <citations/>
 </tool>