comparison tools/networkAnalysis/SeedsAndTargets/SeedsAndTargets.xml @ 10:6a112eaf8f38 draft

planemo upload for repository https://forgemia.inra.fr/metexplore/met4j-galaxy commit 71071300dd662ad01bd064abcf6866a192eeea95
author metexplore
date Mon, 03 Feb 2025 15:59:46 +0000
parents 0976a6257300
children 40c15b7467f1
comparison
equal deleted inserted replaced
9:0976a6257300 10:6a112eaf8f38
1 <?xml version="1.0" encoding="UTF-8" standalone="no"?> 1 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
2 <tool id="met4j_SeedsAndTargets" name="SeedsAndTargets" version="develop"> 2 <tool id="met4j_SeedsAndTargets" name="SeedsAndTargets" version="2.0.0">
3 <description>Identify exogenously acquired compounds, exogenously available producible compounds and/or dead ends metabolites from metabolic network topology</description> 3 <description>Identify exogenously acquired compounds, exogenously available producible compounds and/or dead ends metabolites from metabolic network topology</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:develop</container> 8 <container type="singularity">oras://registry.forgemia.inra.fr/metexplore/met4j/met4j-singularity:2.0.0</container>
9 </requirements> 9 </requirements>
10 <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.SeedsAndTargets -i "$inputPath" 10 <command detect_errors="exit_code"><![CDATA[sh /usr/bin/met4j.sh networkAnalysis.SeedsAndTargets -i "$inputPath"
11 #if str($inputSide) != 'None': 11 #if str($inputSide) != 'None':
12 -sc "$inputSide" 12 -sc "$inputSide"
13 #end if 13 #end if
42 <outputs> 42 <outputs>
43 <data format="tsv" name="outputPath"/> 43 <data format="tsv" name="outputPath"/>
44 </outputs> 44 </outputs>
45 <tests> 45 <tests>
46 <test> 46 <test>
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58 <param name="inputPath" value="XF_network.sbml"/> 47 <param name="inputPath" value="XF_network.sbml"/>
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70 <param name="source" value="true"/> 48 <param name="source" value="true"/>
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82 <output ftype="tsv" name="outputPath"> 49 <output ftype="tsv" name="outputPath">
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94 <assert_contents> 50 <assert_contents>
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106 <has_n_columns n="1"/> 51 <has_n_columns n="1"/>
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118 <has_n_lines n="109"/> 52 <has_n_lines n="109"/>
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130 <has_line_matching expression="M_\S+_\w" n="109"/> 53 <has_line_matching expression="M_\S+_\w" n="109"/>
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142 </assert_contents> 54 </assert_contents>
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154 </output> 55 </output>
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166 </test> 56 </test>
167 <test> 57 <test>
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179 <param name="inputPath" value="XF_network.sbml"/> 58 <param name="inputPath" value="XF_network.sbml"/>
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191 <param name="sink" value="true"/> 59 <param name="sink" value="true"/>
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203 <param name="useInternal" value="true"/> 60 <param name="useInternal" value="true"/>
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215 <param name="comp" value="e"/> 61 <param name="comp" value="e"/>
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227 <output ftype="tsv" name="outputPath"> 62 <output ftype="tsv" name="outputPath">
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239 <assert_contents> 63 <assert_contents>
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251 <has_n_columns n="1"/> 64 <has_n_columns n="1"/>
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263 <has_n_lines n="5"/> 65 <has_n_lines n="5"/>
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275 <has_line_matching expression="^M_\S+_\w" n="5"/> 66 <has_line_matching expression="^M_\S+_\w" n="5"/>
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287 </assert_contents> 67 </assert_contents>
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299 </output> 68 </output>
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311 </test> 69 </test>
312 <test> 70 <test>
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324 <param name="inputPath" value="XF_network.sbml"/> 71 <param name="inputPath" value="XF_network.sbml"/>
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336 <param name="sink" value="true"/> 72 <param name="sink" value="true"/>
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348 <param name="useBorensteinAlg" value="true"/> 73 <param name="useBorensteinAlg" value="true"/>
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360 <param name="comp" value="e"/> 74 <param name="comp" value="e"/>
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372 <output ftype="tsv" name="outputPath"> 75 <output ftype="tsv" name="outputPath">
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384 <assert_contents> 76 <assert_contents>
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396 <has_n_columns n="1"/> 77 <has_n_columns n="1"/>
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408 <has_n_lines n="26"/> 78 <has_n_lines n="26"/>
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420 <has_line_matching expression="^M_\S+_\w" n="26"/> 79 <has_line_matching expression="^M_\S+_\w" n="26"/>
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432 </assert_contents> 80 </assert_contents>
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444 </output> 81 </output>
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456 </test> 82 </test>
457 </tests> 83 </tests>
458 <help><![CDATA[Identify exogenously acquired compounds, exogenously available producible compounds and/or dead ends metabolites from metabolic network topology 84 <help><![CDATA[Identify exogenously acquired compounds, exogenously available producible compounds and/or dead ends metabolites from metabolic network topology
459 Metabolic seeds and targets are useful for identifying medium requirements and metabolic capability, and thus enable analysis of metabolic ties within communities of organisms. 85 Metabolic seeds and targets are useful for identifying medium requirements and metabolic capability, and thus enable analysis of metabolic ties within communities of organisms.
460 This application can use seed definition and SCC-based detection algorithm by Borenstein et al. or, alternatively, degree-based sink and source detection with compartment adjustment. 86 This application can use seed definition and SCC-based detection algorithm by Borenstein et al. or, alternatively, degree-based sink and source detection with compartment adjustment.