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author | jpayne |
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date | Thu, 05 Nov 2020 16:07:58 -0500 |
parents | eefdd97a6749 |
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<tool id="snp-pipeline" name="CFSAN SNP Pipeline" version="1.0.1"> <description>Build SNP table in VCF format from fastq collections</description> <requirements> <requirement type="package">bowtie2</requirement> <requirement type="package">smalt</requirement> <requirement type="package">samtools</requirement> <requirement type="package">picard</requirement> <requirement type="package">varscan</requirement> <requirement type="package">tabix</requirement> <requirement type="package">bgzip</requirement> <requirement type="package">fastq-dump</requirement> <requirement type="package">biopython</requirement> <requirement type="python-module">snp-pipeline</requirement> </requirements> <command detect_errors="exit_code"><![CDATA[ cfsan_snp_pipeline $command -i <( $__tool_directory__/snp-wind.py #for $e in $fastqs -n $e.forward.display_name -f $e.forward.fastq -r $e.reverse.fastq #end for . ) && cat ./error.log 1>&2 && source ./snp-unwind.sh ]]></command> <configfiles> <configfile name="config_file"> </configfile> </configfiles> <inputs> <conditional name="reference"> <param name="ref" type="select" label="Use a curated GalaxyTrakr reference, or a reference from your history" help="Choose whether to use one of our references or your own from your history"> <option value="curated">Use a GalaxyTraker reference</option> <option value="history">Use a reference from your history</option> </param> <when value="curated"> <param name="reference_fasta" type="select" label="Select reference fasta"> <options from_data_table="all_fasta"> <filter type="sort_by" column="2"/> <validator type="no_options" message="No assemblies are available for the selected input dataset"/> </options> </param> </when> <when value="history"> <param name="reference_fasta" type="data" format="fasta" label="Select reference fasta" /> </when> </conditional> <!-- <param name="fa_vcf" type="select" label="Select FASTA or VCF output for consensus results"> <option value="fa">Consensus results in FASTA format</option> <option value="vc">Consensus results in VCF format<option> </param> --> <conditional name="input_arrangement"> <param name="inp" type="select" label="Input data layout"> <option value="manual">Define paired collections of files from your history</option> <option value="collection">Use a paired-end dataset collection</option> </param> </conditional> <repeat name="fastqs" title="FASTQ collections"> <param name="forward" type="data" format="fastq,fastqsanger" label="Forward reads" /> <param name="reverse" type="data" format="fastq,fastqsanger" label="Reverse reads" /> </repeat> </inputs> <outputs> <data format="txt" label="SNP List" name="snplist" from_work_dir="snplist.txt"/> <!-- <conditional name="fasta_vcf"> --> <data format="fasta" label="Consensus base calls" name="confasta" from_work_dir="consensus.fasta"/> <data format="fasta" label="Filtered consensus base calls" name="confastafil" from_work_dir="consensus.fasta"/> <data format="vcf" label="Consensus base calls" name="convcf" from_work_dir="consensus.vcf"/> <data format="vcf" label="Filtered consensus base calls" name="convcffil" from_work_dir="consensus_preserved.vcf"/> <!-- </conditional> --> <data format="fasta" label="SNP matrix" name="snpma" from_work_dir="snpma.fasta"/> <data format="fasta" label="Filtered SNP matrix" name="snpmalfil" from_work_dir="snpma_preserved.fasta"/> <data format="vcf" label="SNP matrix" name="snpmav" from_work_dir="snpma.vcf"/> <data format="vcf" label="Filtered SNP matrix" name="snpmavfil" from_work_dir="snpma_preserved.vcf"/> <data format="tsv" label="SNP distance, pairwise" name="snpdi" from_work_dir="snp_distance_pairwise.tsv"/> <data format="tsv" label="Filtered SNP distance, pairwise" name="snpdifil" from_work_dir="snp_distance_pairwise_preserved.tsv"/> <data format="tsv" label="SNP distance matrix" name="snpdima" from_work_dir="snp_distance_matrix.tsv"/> <data format="tsv" label="Filtered SNP distance matrix" name="snpdimafil" from_work_dir="snp_distance_matrix_preserved.tsv"/> <data format="fasta" label="Reference SNPs" name="refsnp" from_work_dir="referenceSNP.fasta"/> <data format="fasta" label="Filtered reference SNPs" name="refsnpfil" from_work_dir="referenceSNP_preserved.fasta"/> <data format="tsv" label="Metrics" name="metrics" from_work_dir="metrics.tsv"/> </outputs> <help><![CDATA[ <p> The <b>CFSAN SNP Pipeline</b> is a Python-based system for the production of SNP matrices from sequence data used in the phylogenetic analysis of pathogenic organisms sequenced from samples of interest to food safety. <p> The SNP Pipeline was developed by the <b>United States Food and Drug Administration, Center for Food Safety and Applied Nutrition</b>. <p> Free software. Documentation: <a target="_blank" href="http://snp-pipeline.readthedocs.io/en/latest/readme.html">http://snp-pipeline.readthedocs.io/en/latest/readme.html</a> Source Code: <a target="_blank" href="https://github.com/CFSAN-Biostatistics/snp-pipeline">https://github.com/CFSAN-Biostatistics/snp-pipeline</a> PyPI Distribution: <a target="_blank" href="https://pypi.python.org/pypi/snp-pipeline">https://pypi.python.org/pypi/snp-pipeline</a> ]]></help> <citations> <citation type="doi">10.7717/peerj-cs.20</citation> <citation type="bibtex"> @misc{cfsan-snp-pipeline, author = {Steve Davis and James Pettengill and Yan Luo and Justin Payne and Albert Shpuntoff and Rugh Rand and Errol Strain}, year = {2015}, title = {CFSAN SNP Pipeline: an automated method for constructing SNP matrices from next-generation sequence data}, url = {https://doi.org/10.7717/peerj-cs.20}, journal = {PeerJ Computer Science}, }</citation> </citations> </tool>