# HG changeset patch # User q2d2 # Date 1762018000 0 # Node ID 8ce08b4d8902600323c10a6e0e6e2b7c10931e96 planemo upload for repository https://github.com/qiime2/galaxy-tools/tree/main/tools/suite_qiime2__kmerizer commit 64ed09f1f1c680ad8373d261bd6be43a4f8a8d5b diff -r 000000000000 -r 8ce08b4d8902 qiime2__kmerizer__seqs_to_kmers.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/qiime2__kmerizer__seqs_to_kmers.xml Sat Nov 01 17:26:40 2025 +0000 @@ -0,0 +1,113 @@ + + + + + Generate kmers from sequences. + + qiime2 + + + quay.io/qiime2/amplicon:2025.10 + + q2galaxy version kmerizer + q2galaxy run kmerizer seqs_to_kmers '$inputs' + + + + + + + + + + + hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureData[ProteinSequence]', 'FeatureData[RNASequence]', 'FeatureData[Sequence]'] + + + + + + hasattr(value.metadata, "semantic_type") and value.metadata.semantic_type in ['FeatureTable[Frequency]'] + +
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+ + + + + +QIIME 2: kmerizer seqs-to-kmers +=============================== +Generate kmers from sequences. + + +Outputs: +-------- +:kmer_table.qza: Frequencies of kmers per sample. + +| + +Description: +------------ +Generate kmers from biological sequences. + + +| + + + + @article{cite1, + author = {Pedregosa, Fabian and Varoquaux, Gaël and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and Vanderplas, Jake and Passos, Alexandre and Cournapeau, David and Brucher, Matthieu and Perrot, Matthieu and Duchesnay, Édouard}, + journal = {Journal of machine learning research}, + number = {Oct}, + pages = {2825--2830}, + title = {Scikit-learn: Machine learning in Python}, + volume = {12}, + year = {2011} +} + + 10.1038/s41587-019-0209-9 + +
diff -r 000000000000 -r 8ce08b4d8902 test-data/.gitkeep