# HG changeset patch # User iuc # Date 1756403616 0 # Node ID 21e09ba992b825fe13af99c13322b01bf50637ad # Parent 244812f5bd1ff96ffb3bd0025419f571a2f27060 planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/main/tools/vapor commit 1f7ddf787b62c1c586c44c08fec0ca2a16974dbf diff -r 244812f5bd1f -r 21e09ba992b8 vapor.xml --- a/vapor.xml Wed Nov 16 13:41:01 2022 +0000 +++ b/vapor.xml Thu Aug 28 17:53:36 2025 +0000 @@ -1,31 +1,24 @@ - + Classify Influenza samples from short reads sequence data - 1.0.2 + 1.0.3 + 0 + 23.0 vapor vapor - - gawk + + ( vapor.py -v || true ) /) {print toupper($0)} else {print $0} }' '$fasta_file' > ref_upper.fa && - #set $fasta_file = 'ref_upper.fa' - #if str($fastq_input.fastq_input_selector) == "paired" #set r1_ext = $fastq_input.fastq1.extension #set r2_ext = $fastq_input.fastq2.extension @@ -97,7 +90,7 @@ output_type == "scores" - + @@ -171,7 +164,7 @@ VAPOR is a tool for classification of Influenza samples from raw short read sequence data for downstream bioinformatics analysis. VAPOR works on a fasta file of full-length reference sequences for a given genome segment and a set of sequenced reads, and attempts to retrieve the reference that is closest to the sequenced strain. -`sub_sample` is not an option here (compared to the tool on GitHub), since you can always build a workflow that preprocesses your reads to a (random) subsample. You can use this output as your reads file for VAPOR. +The `-s` option of the command-line tool for sub-sampling input reads is not exposed here since you can always build a workflow that preprocesses your reads to a (random) subsample. You can use this output as your reads file for VAPOR. ]]> 10.1093/bioinformatics/btz814