Mercurial > repos > metexplore > met4j
comparison tools/networkAnalysis/LoadPoint/LoadPoint.xml @ 9:0976a6257300 draft
planemo upload for repository https://forgemia.inra.fr/metexplore/met4j-galaxy commit 05db35f63cadb9d56dafff594a3507c59cd85273
| author | metexplore |
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| date | Fri, 31 Jan 2025 18:28:53 +0000 |
| parents | 7a6f2380fc1d |
| children | 6a112eaf8f38 |
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| 8:1274e2a62479 | 9:0976a6257300 |
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| 1 <?xml version="1.0" encoding="UTF-8"?> | 1 <?xml version="1.0" encoding="UTF-8" standalone="no"?> |
| 2 <tool id="met4j_LoadPoint" name="LoadPoint" version="MET4J_VERSION_TEST"> | 2 <tool id="met4j_LoadPoint" name="LoadPoint" version="develop"> |
| 3 <description>Compute the Load points of a metabolic network. Load points constitute an indicator of lethality and can help identifying drug target.</description> | 3 <description>Compute the Load points of a metabolic network. Load points constitute an indicator of lethality and can help identifying drug targets.</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:MET4J_VERSION_TEST</container> | 8 <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:develop</container> |
| 9 </requirements> | 9 </requirements> |
| 10 <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.LoadPoint -i "$inputPath" | 10 <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.LoadPoint -i "$inputPath" |
| 11 #if str($sideCompoundFile) != 'None': | 11 #if str($sideCompoundFile) != 'None': |
| 12 -s "$sideCompoundFile" | 12 -s "$sideCompoundFile" |
| 13 #end if | 13 #end if |
| 28 <outputs> | 28 <outputs> |
| 29 <data format="tsv" name="outputPath"/> | 29 <data format="tsv" name="outputPath"/> |
| 30 </outputs> | 30 </outputs> |
| 31 <tests> | 31 <tests> |
| 32 <test> | 32 <test> |
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| 33 <param name="inputPath" value="toy_model.xml"/> | 44 <param name="inputPath" value="toy_model.xml"/> |
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| 34 <output ftype="tsv" name="outputPath"> | 56 <output ftype="tsv" name="outputPath"> |
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| 35 <assert_contents> | 68 <assert_contents> |
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| 36 <has_n_columns n="3"/> | 80 <has_n_columns n="3"/> |
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| 37 <has_n_lines n="8"/> | 92 <has_n_lines n="8"/> |
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| 38 </assert_contents> | 104 </assert_contents> |
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| 39 </output> | 116 </output> |
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| 40 </test> | 128 </test> |
| 41 </tests> | 129 </tests> |
| 42 <help><![CDATA[Compute the Load points of a metabolic network. Load points constitute an indicator of lethality and can help identifying drug target. | 130 <help><![CDATA[Compute the Load points of a metabolic network. Load points constitute an indicator of lethality and can help identifying drug targets. |
| 43 From Rahman et al. Observing local and global properties of metabolic pathways: ‘load points’ and ‘choke points’ in the metabolic networks. Bioinf. (2006): | 131 From Rahman et al. Observing local and global properties of metabolic pathways: ‘load points’ and ‘choke points’ in the metabolic networks. Bioinf. (2006): |
| 44 For a given metabolic network, the load L on metabolite m can be defined as : | 132 For a given metabolic network, the load L on metabolite m can be defined as : |
| 45 ln [(pm/km)/(∑Mi=1Pi)/(∑Mi=1Ki)] | 133 ln [(pm/km)/(∑Mi=1Pi)/(∑Mi=1Ki)] |
| 46 p is the number of shortest paths passing through a metabolite m; | 134 p is the number of shortest paths passing through a metabolite m; |
| 47 k is the number of nearest neighbour links for m in the network; | 135 k is the number of nearest neighbour links for m in the network; |
| 48 P is the total number of shortest paths; | 136 P is the total number of shortest paths; |
| 49 K is the sum of links in the metabolic network of M metabolites (where M is the number of metabolites in the network). | 137 K is the sum of links in the metabolic network of M metabolites (where M is the number of metabolites in the network). |
| 50 Use of the logarithm makes the relevant values more distinguishable.]]></help> | 138 Use of the logarithm makes the relevant values more distinguishable.]]></help> |
| 51 <citations/> | 139 <citations> |
| 140 <citation type="doi">10.1093/bioinformatics/btl181</citation> | |
| 141 </citations> | |
| 52 </tool> | 142 </tool> |
