Mercurial > repos > florianbegusch > qiime2_suite
diff qiime2-2020.8/qiime_vsearch_cluster-features-closed-reference.xml @ 20:d93d8888f0b0 draft
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author | florianbegusch |
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date | Fri, 04 Sep 2020 12:44:24 +0000 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/qiime2-2020.8/qiime_vsearch_cluster-features-closed-reference.xml Fri Sep 04 12:44:24 2020 +0000 @@ -0,0 +1,110 @@ +<?xml version="1.0" ?> +<tool id="qiime_vsearch_cluster-features-closed-reference" name="qiime vsearch cluster-features-closed-reference" + version="2020.8"> + <description> Closed-reference clustering of features.</description> + <requirements> + <requirement type="package" version="2020.8">qiime2</requirement> + </requirements> + <command><![CDATA[ +qiime vsearch cluster-features-closed-reference + +--i-sequences=$isequences + +--i-table=$itable + +--i-reference-sequences=$ireferencesequences + +--p-perc-identity=$ppercidentity + +#if str($pstrand) != 'None': +--p-strand=$pstrand +#end if + +--p-threads=$pthreads + +--o-clustered-table=oclusteredtable + +--o-clustered-sequences=oclusteredsequences + +--o-unmatched-sequences=ounmatchedsequences + +#if str($examples) != 'None': +--examples=$examples +#end if + +; +cp ounmatchedsequences.qza $ounmatchedsequences + + ]]></command> + <inputs> + <param format="qza,no_unzip.zip" label="--i-sequences: ARTIFACT FeatureData[Sequence] The sequences corresponding to the features in table. [required]" name="isequences" optional="False" type="data" /> + <param format="qza,no_unzip.zip" label="--i-table: ARTIFACT FeatureTable[Frequency] The feature table to be clustered. [required]" name="itable" optional="False" type="data" /> + <param format="qza,no_unzip.zip" label="--i-reference-sequences: ARTIFACT FeatureData[Sequence] The sequences to use as cluster centroids. [required]" name="ireferencesequences" optional="False" type="data" /> + <param label="--p-perc-identity: PROPORTION Range(0, 1, inclusive_start=False, inclusive_end=True) The percent identity at which clustering should be performed. This parameter maps to vsearch\'s --id parameter. [required]" name="ppercidentity" optional="False" type="text" /> + <param label="--p-strand: " name="pstrand" optional="True" type="select"> + <option selected="True" value="None">Selection is Optional</option> + <option value="plus">plus</option> + <option value="both">both</option> + </param> + <param label="--examples: Show usage examples and exit." name="examples" optional="False" type="data" /> + + </inputs> + + <outputs> + <data format="qza" label="${tool.name} on ${on_string}: clusteredtable.qza" name="oclusteredtable" /> + <data format="qza" label="${tool.name} on ${on_string}: clusteredsequences.qza" name="oclusteredsequences" /> + <data format="qza" label="${tool.name} on ${on_string}: unmatchedsequences.qza" name="ounmatchedsequences" /> + + </outputs> + + <help><![CDATA[ + Closed-reference clustering of features. +############################################################### + +Given a feature table and the associated feature sequences, cluster the +features against a reference database based on user-specified percent +identity threshold of their sequences. This is not a general-purpose +closed-reference clustering method, but rather is intended to be used for +clustering the results of quality-filtering/dereplication methods, such as +DADA2, or for re-clustering a FeatureTable at a lower percent identity than +it was originally clustered at. When a group of features in the input table +are clustered into a single feature, the frequency of that single feature +in a given sample is the sum of the frequencies of the features that were +clustered in that sample. Feature identifiers will be inherited from the +centroid feature of each cluster. See the vsearch documentation for details +on how sequence clustering is performed. + +Parameters +---------- +sequences : FeatureData[Sequence] + The sequences corresponding to the features in table. +table : FeatureTable[Frequency] + The feature table to be clustered. +reference_sequences : FeatureData[Sequence] + The sequences to use as cluster centroids. +perc_identity : Float % Range(0, 1, inclusive_start=False, inclusive_end=True) + The percent identity at which clustering should be performed. This + parameter maps to vsearch's --id parameter. +strand : Str % Choices('plus', 'both'), optional + Search plus (i.e., forward) or both (i.e., forward and reverse + complement) strands. +threads : Int % Range(0, 256, inclusive_end=True), optional + The number of threads to use for computation. Passing 0 will launch one + thread per CPU core. + +Returns +------- +clustered_table : FeatureTable[Frequency] + The table following clustering of features. +clustered_sequences : FeatureData[Sequence] + The sequences representing clustered features, relabeled by the + reference IDs. +unmatched_sequences : FeatureData[Sequence] + The sequences which failed to match any reference sequences. This + output maps to vsearch's --notmatched parameter. + ]]></help> + <macros> + <import>qiime_citation.xml</import> + </macros> + <expand macro="qiime_citation"/> +</tool> \ No newline at end of file