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annotate tools/networkAnalysis/MetaboRank/MetaboRank.xml @ 3:6bd9aad9626d draft

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planemo upload for repository https://forgemia.inra.fr/metexplore/met4j-galaxy commit a078bf88575dac3d09462252eae92c24f34d0414
author metexplore
date Fri, 29 Jul 2022 13:23:40 +0000
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children ae4c301919c4
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dcd16521b969 planemo upload for repository https://forgemia.inra.fr/metexplore/met4j-galaxy commit 5dab0a2d83a1fdd7a1878a50ba0f24e752505393
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1 <?xml version="1.0" encoding="UTF-8"?>
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2 <tool id="met4j_MetaboRank" name="MetaboRank" version="1.1.0">
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3 <description>Compute the MetaboRank, a custom personalized PageRank for metabolic network.</description>
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4 <xrefs>
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5 <xref type="bio.tools">met4j</xref>
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6 </xrefs>
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7 <requirements>
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8 <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:1.1.0</container>
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9 </requirements>
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10 <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.MetaboRank -i "$sbmlFilePath"
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11 -s "$seedsFilePath"
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12 #if str($edgeWeightsFilePaths) != 'None':
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13 -w "$edgeWeightsFilePaths"
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14 #end if
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15 #if str($maxNbOfIter):
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16 -max "$maxNbOfIter"
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17 #end if
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18 #if str($tolerance) != 'nan':
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19 -t "$tolerance"
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20 #end if
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21 #if str($dampingFactor) != 'nan':
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22 -d "$dampingFactor"
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23 #end if
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24 -o "$output"
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25 ]]></command>
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26 <inputs>
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27 <param argument="-i" format="sbml" label="input SBML file: path to network used for computing centrality, in sbml format." name="sbmlFilePath" optional="false" type="data" value=""/>
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28 <param argument="-s" format="tsv" label="input seeds file: tabulated file containing node of interest ids and weight" name="seedsFilePath" optional="false" type="data" value=""/>
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29 <param argument="-w" format="tsv" label="input edge weight file: (recommended) path to file containing edges' weights. Will be normalized as transition probabilities" name="edgeWeightsFilePaths" optional="true" type="data" value=""/>
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30 <param argument="-max" label="maximal number of iteration" name="maxNbOfIter" optional="true" type="text" value="15000">
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31 <sanitizer invalid_char="_">
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32 <valid initial="string.printable"/>
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33 </sanitizer>
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34 </param>
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35 <param argument="-t" label="convergence tolerance" name="tolerance" optional="true" type="float" value="0.001"/>
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36 <param argument="-d" label="damping factor" name="dampingFactor" optional="true" type="float" value="0.85"/>
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37 </inputs>
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38 <outputs>
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39 <data format="tsv" name="output"/>
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40 </outputs>
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41 <tests>
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42 <test>
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43 <param name="inputPath" value="toy_model.xml"/>
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44 <output ftype="tsv" name="output">
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45 </output>
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46 </test>
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47 </tests>
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48 <help><![CDATA[Compute the MetaboRank, a custom personalized PageRank for metabolic network.
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49 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.
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50 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.
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51 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.
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52 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>
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53 <citations/>
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54 </tool>