Mercurial > repos > q2d2 > qiime2__diversity__bioenv

annotate qiime2__diversity__bioenv.xml @ 2:0fb37e0413d6 draft

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author q2d2
date Thu, 08 Jun 2023 19:36:38 +0000
parents 0f90022f70de
children df846bfc8b5e
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1 <?xml version='1.0' encoding='utf-8'?>
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2 <!--
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3 Copyright (c) 2023, QIIME 2 development team.
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5 Distributed under the terms of the Modified BSD License. (SPDX: BSD-3-Clause)
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6 -->
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7 <!--
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8 This tool was automatically generated by:
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9 q2galaxy (version: 2023.5.0)
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10 for:
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11 qiime2 (version: 2023.5.1)
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12 -->
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13 <tool name="qiime2 diversity bioenv" id="qiime2__diversity__bioenv" version="2023.5.1+q2galaxy.2023.5.0.2" profile="22.05" license="BSD-3-Clause">
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14 <description>bioenv</description>
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15 <requirements>
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16 <container type="docker">quay.io/qiime2/core:2023.5</container>
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17 </requirements>
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18 <version_command>q2galaxy version diversity</version_command>
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19 <command detect_errors="exit_code">q2galaxy run diversity bioenv '$inputs'</command>
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20 <configfiles>
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21 <inputs name="inputs" data_style="paths"/>
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22 </configfiles>
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23 <inputs>
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24 <param name="distance_matrix" type="data" format="qza" label="distance_matrix: DistanceMatrix" help="[required] Matrix of distances between pairs of samples.">
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25 <options options_filter_attribute="metadata.semantic_type">
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26 <filter type="add_value" value="DistanceMatrix"/>
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27 </options>
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28 <validator type="expression" message="Incompatible type">hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['DistanceMatrix']</validator>
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29 </param>
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30 <repeat name="metadata" min="1" help="[required] The sample metadata." title="metadata: Metadata">
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31 <conditional name="__q2galaxy__GUI__conditional__metadata__">
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32 <param name="type" type="select" label="metadata: Metadata">
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33 <option value="tsv" selected="true">Metadata from TSV</option>
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34 <option value="qza">Metadata from Artifact</option>
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35 </param>
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36 <when value="tsv">
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37 <param name="source" type="data" format="tabular,qiime2.tabular" label="Metadata Source"/>
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38 </when>
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39 <when value="qza">
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40 <param name="source" type="data" format="qza" label="Metadata Source"/>
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41 </when>
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42 </conditional>
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43 </repeat>
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44 </inputs>
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45 <outputs>
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46 <data name="visualization" format="qzv" label="${tool.name} on ${on_string}: visualization.qzv" from_work_dir="visualization.qzv"/>
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47 </outputs>
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48 <tests/>
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49 <help>
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50 QIIME 2: diversity bioenv
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51 =========================
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52 bioenv
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53
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54
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55 Outputs:
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56 --------
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57 :visualization.qzv: &lt;no description&gt;
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58
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59 |
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60
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61 Description:
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62 ------------
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63 Find the subsets of variables in metadata whose Euclidean distances are maximally rank-correlated with distance matrix. All numeric variables in metadata will be considered, and samples which are missing data will be dropped. The output visualization will indicate how many samples were dropped due to missing data, if any were dropped.
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64
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65
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66 |
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67
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68 </help>
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69 <citations>
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70 <citation type="doi">https://doi.org/10.3354/meps092205</citation>
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71 <citation type="doi">10.1038/s41587-019-0209-9</citation>
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72 </citations>
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73 </tool>