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1 <?xml version="1.0" ?>
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2 <tool id="qiime_gneiss_correlation-clustering" name="qiime gneiss correlation-clustering" version="2018.4">
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3 <description> - Hierarchical clustering using feature correlation.</description>
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4 <requirements>
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5 <requirement type="package" version="2018.4">qiime2</requirement>
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6 </requirements>
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7 <command>
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8 <![CDATA[
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9 qiime gneiss correlation-clustering --i-table=$itable
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10
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11 #if str($cmdconfig) != 'None':
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12 --cmd-config=$cmdconfig
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13 #end if
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14 --o-clustering=oclustering;
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15
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16 cp oclustering.qza $oclustering;
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17 ]]>
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18 </command>
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19 <inputs>
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20 <param format="qza,no_unzip.zip" label="--i-table: FeatureTable[Composition] The feature table containing the samples in which the columns will be clustered. [required]" name="itable" optional="False" type="data"/>
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21 <param label="--cmd-config: Use config file for command options" name="cmdconfig" optional="True" type="data"/>
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22 </inputs>
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23 <outputs>
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24 <data format="qza" label="${tool.name} on ${on_string}: clustering.qza" name="oclustering"/>
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25 </outputs>
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26 <help>
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27 <![CDATA[
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28 Hierarchical clustering using feature correlation.
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29 ---------------------------------------------------
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30
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31 Build a bifurcating tree that represents a hierarchical clustering of
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32 features. The hiearchical clustering uses Ward hierarchical clustering
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33 based on the degree of proportionality between features.
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34
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35 Parameters
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36 ----------
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37 table : FeatureTable[Composition]
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38 The feature table containing the samples in which the columns will be
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39 clustered.
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40
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41 Returns
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42 -------
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43 clustering : Hierarchy
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44 A hierarchy of feature identifiers where each tipcorresponds to the
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45 feature identifiers in the table. This tree can contain tip ids that
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46 are not present in the table, but all feature ids in the table must be
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47 present in this tree.
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48 ]]>
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49 </help>
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50 </tool>
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