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annotate tools/networkAnalysis/ChokePoint/ChokePoint.xml @ 1:9b162ee6ff8e draft

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planemo upload for repository https://forgemia.inra.fr/metexplore/met4j-galaxy commit 12798951d21c3b2b13514b38148b2848cb422c95
author metexplore
date Mon, 27 Jun 2022 13:41:08 +0000
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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_ChokePoint" name="ChokePoint" version="0.12.0">
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3 <description>Compute the Choke points of a 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:0.12.0</container>
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9 </requirements>
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10 <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.ChokePoint -i "$inputPath"
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11 #if str($sideCompoundFile) != 'None':
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12 -s "$sideCompoundFile"
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13 #end if
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14 -o "$outputPath"
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15 ]]></command>
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16 <inputs>
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17 <param argument="-i" format="sbml" label="input SBML file" name="inputPath" optional="false" type="data" value=""/>
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18 <param argument="-s" format="text" label="an optional file containing list of side compounds to ignore" name="sideCompoundFile" optional="true" type="data" value=""/>
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19 </inputs>
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20 <outputs>
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21 <data format="tsv" name="outputPath"/>
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22 </outputs>
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23 <tests>
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24 <test>
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25 <param name="inputPath" value="XF_network.sbml"/>
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26 <output ftype="tsv" name="outputPath">
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27 <assert_contents>
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28 <has_n_lines n="202"/>
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29 <has_n_columns n="3"/>
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30 <has_line_matching expression="R_ADEtex.*adenine_transport_via_diffusion__extracellular_to_periplasm_.*M_ade_e &lt;==&gt; M_ade_p" n="1"/>
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31 <has_line_matching expression="R_X5PL3E.*R_X5PL3E.*M_xu5p_L_c --&gt; M_ru5p_L_c" n="1"/>
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32 </assert_contents>
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33 </output>
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34 </test>
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35 <test>
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36 <param name="inputPath" value="XF_network.sbml"/>
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37 <param name="sideCompoundFile" value="sides.txt"/>
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38 <output ftype="tsv" name="outputPath">
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39 <assert_contents>
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40 <has_n_lines n="200"/>
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41 <has_n_columns n="3"/>
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42 <has_line_matching expression="R_ADEtex.*adenine_transport_via_diffusion__extracellular_to_periplasm_.*M_ade_e &lt;==&gt; M_ade_p" n="0"/>
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43 <has_line_matching expression="R_X5PL3E.*R_X5PL3E.*M_xu5p_L_c --&gt; M_ru5p_L_c" n="0"/>
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44 </assert_contents>
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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 Choke points of a metabolic network.
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49 Load points constitute an indicator of lethality and can help identifying drug target Choke points are reactions that are required to consume or produce one compound. Targeting of choke point can lead to the accumulation or the loss of some metabolites, thus choke points constitute an indicator of lethality and can help identifying drug target
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50 See : Syed Asad Rahman, Dietmar Schomburg; Observing local and global properties of metabolic pathways: ‘load points’ and ‘choke points’ in the metabolic networks. Bioinformatics 2006; 22 (14): 1767-1774. doi: 10.1093/bioinformatics/btl181]]></help>
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51 <citations/>
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52 </tool>