# HG changeset patch # User q2d2 # Date 1661805231 0 # Node ID 861265ac8cce99a4754e9367fe00a93a055885cf planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__vsearch commit 9023cfd83495a517fbcbb6f91d5b01a6f1afcda1 diff -r 000000000000 -r 861265ac8cce qiime2__vsearch__cluster_features_closed_reference.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/qiime2__vsearch__cluster_features_closed_reference.xml Mon Aug 29 20:33:51 2022 +0000 @@ -0,0 +1,83 @@ + + + + + Closed-reference clustering of features. + + quay.io/qiime2/core:2022.8 + + q2galaxy version vsearch + q2galaxy run vsearch cluster_features_closed_reference '$inputs' + + + + + + + + + hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureData[Sequence]'] + + + + + + hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureTable[Frequency]'] + + + + + + hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureData[Sequence]'] + + +
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+ + + + + + + +QIIME 2: vsearch cluster-features-closed-reference +================================================== +Closed-reference clustering of features. + + +Outputs: +-------- +:clustered_table.qza: The table following clustering of features. +:clustered_sequences.qza: The sequences representing clustered features, relabeled by the reference IDs. +:unmatched_sequences.qza: The sequences which failed to match any reference sequences. This output maps to vsearch's --notmatched parameter. + +| + +Description: +------------ +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. + + +| + + + + 10.7717/peerj.2584 + 10.1038/s41587-019-0209-9 + +
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