Mercurial > repos > metexplore > met4j
comparison build/tools/MetaboRank/MetaboRank.xml @ 8:1274e2a62479 draft default tip
planemo upload for repository https://forgemia.inra.fr/metexplore/met4j-galaxy commit e34acf0f51cafcf6ae7c97b4feb3188a39f17c32
author | metexplore |
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date | Wed, 26 Jul 2023 15:33:45 +0000 |
parents | 1436e9cde9c9 |
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7:1436e9cde9c9 | 8:1274e2a62479 |
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1 <?xml version="1.0" encoding="UTF-8"?> | 1 <?xml version="1.0" encoding="UTF-8"?> |
2 <tool id="met4j_MetaboRank" name="MetaboRank" version="1.4.0"> | 2 <tool id="met4j_MetaboRank" name="MetaboRank" version="1.5.0"> |
3 <description>Compute the MetaboRank, a custom personalized PageRank for metabolic network.</description> | 3 <description>Compute the MetaboRank, a custom personalized PageRank for metabolic network.</description> |
4 <xrefs> | 4 <xrefs> |
5 <xref type="bio.tools">met4j</xref> | 5 <xref type="bio.tools">met4j</xref> |
6 </xrefs> | 6 </xrefs> |
7 <requirements> | 7 <requirements> |
8 <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:1.4.0</container> | 8 <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:1.5.0</container> |
9 </requirements> | 9 </requirements> |
10 <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.MetaboRank -i "$sbmlFilePath" | 10 <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.MetaboRank -i "$sbmlFilePath" |
11 -s "$seedsFilePath" | 11 -s "$seedsFilePath" |
12 #if str($edgeWeightsFilePaths) != 'None': | 12 #if str($edgeWeightsFilePaths) != 'None': |
13 -w "$edgeWeightsFilePaths" | 13 -w "$edgeWeightsFilePaths" |
57 </tests> | 57 </tests> |
58 <help><![CDATA[Compute the MetaboRank, a custom personalized PageRank for metabolic network. | 58 <help><![CDATA[Compute the MetaboRank, a custom personalized PageRank for metabolic network. |
59 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. | 59 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. |
60 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. | 60 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. |
61 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. | 61 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. |
62 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. | |
62 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> | 63 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> |
63 <citations/> | 64 <citations/> |
64 </tool> | 65 </tool> |