Mercurial > repos > dereeper > sniplay
view AnnotationStatsFromVCF/annotationStatsFromVCF_wrapper.xml @ 6:ebb0ac9b6fa9 draft
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author | gandres |
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date | Mon, 23 May 2016 17:49:17 -0400 |
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<tool id="annotationStatsFromVCF" name="Get annotation statistics" version="1.0.0"> <description> from VCF file </description> <requirements> <requirement type="binary">perl</requirement> <requirement type="package" version="0.1.12b">vcftools</requirement> </requirements> <stdio> <exit_code range="1:" /> </stdio> <command interpreter="perl"> AnnotationStatsFromVCF.pl -v $input -o $output_label -s $step && mv ${output_label} $output_count && mv ${output_label}.effect $output_stats_effect && mv ${output_label}.location $output_stats_location </command> <inputs> <param type="data" name="input" format="vcf" label="VCF file" /> <param type="text" name="output_label" label="Output_label" value='VCF_stats' /> </inputs> <outputs> <data name="output_count" format="txt" label="${output_label}."/> <data name="output_stats_effect" format="txt" label="${output_label}."/> <data name="output_stats_location" format="txt" label="${output_label}."/> </outputs> <tests> <test> <param name="input" value="vcf2fastaAndHapmap-sample.vcf"/> <output name="output_count" file=".txt"/> <output name="output_stats_effect" file=""/> <output name="output_stats_location" file=""/> </test> </tests> <help><![CDATA[ .. class:: infomark **Authors** Dereeper Alexis (alexis.dereeper@ird.fr), IRD, South Green platform | **Please cite** "SNiPlay3: a web-based application for exploration and large scale analyses of genomic variations", **Dereeper A. et al.**, Nucl. Acids Res. (1 july 2015) 43 (W1). .. class:: infomark **Galaxy integration** Andres Gwendoline, Institut Français de Bioinformatique. .. class:: infomark **Support** For any questions, please send an e-mail to support.abims@sb-roscoff.fr --------------------------------------------------- ============================== Get Haplotypes From Phased VCF ============================== ----------- Description ----------- | Get Haplotype from phased VCF ----------------- Workflow position ----------------- **Upstream tool** =============== ========================== ======= Name output file(s) format =============== ========================== ======= Beagle Phased VCF file VCF =============== ========================== ======= **Downstream tool** =============== ========================== =========== Name input file(s) format =============== ========================== =========== =============== ========================== =========== ---------- Input file ---------- VCF file Phased VCF file ---------- Parameters ---------- Output file basename Prefix for the output VCF file ------------ Output files ------------ Text file File describing haplotypes Fasta file Fasta file with haplotypes --------------------------------------------------- --------------- Working example --------------- Input files =========== VCF file --------- :: #fileformat=VCFv4.1 #FILTER=<ID=LowQual,Description="Low quality"> #FORMAT=<ID=AD,Number=.,Type=Integer,Description="Allelic depths for the ref and alt alleles in the order listed"> [...] CHROM POS ID REF ALT QUAL FILTER INFO FORMAT AZUCENA Chr1 4299 . G A . PASS AR2=1;DR2=1;AF=0.168 GT:DS:GP 0|0:0:1,0,0 Parameters ========== Output name -> haplotypes Output files ============ haplotypes.distinct_haplotypes.txt ---------------------------------- :: ===Chr10=== haplo1:2:CIRAD403_1,CIRAD403_2, TTTAAGAAATTCCTATATAGGTCTTCTAAGCGTATCTATTAACAT haplo2:2:MAHAE_1,MAHAE_2, TAAATCTTGGTGCTGATCTGATATTTAATGCGT haplotypes.haplo.fas -------------------- :: >Chr10_AZUCENA_1 TTTAAGAAATTCCTATATAGGTCTTCTAAGCGTATCTATTAACAT >Chr10_AZUCENA_2 TAAATCTTGGTGCTGATCTGATATTTAATGCGT ]]></help> <citations> <!-- [HELP] As DOI or BibTex entry --> <citation type="bibtex">@article{Dereeper03062015, author = {Dereeper, Alexis and Homa, Felix and Andres, Gwendoline and Sempere, Guilhem and Sarah, Gautier and Hueber, Yann and Dufayard, Jean-François and Ruiz, Manuel}, title = {SNiPlay3: a web-based application for exploration and large scale analyses of genomic variations}, year = {2015}, doi = {10.1093/nar/gkv351}, abstract ={SNiPlay is a web-based tool for detection, management and analysis of genetic variants including both single nucleotide polymorphisms (SNPs) and InDels. Version 3 now extends functionalities in order to easily manage and exploit SNPs derived from next generation sequencing technologies, such as GBS (genotyping by sequencing), WGRS (whole gre-sequencing) and RNA-Seq technologies. Based on the standard VCF (variant call format) format, the application offers an intuitive interface for filtering and comparing polymorphisms using user-defined sets of individuals and then establishing a reliable genotyping data matrix for further analyses. Namely, in addition to the various scaled-up analyses allowed by the application (genomic annotation of SNP, diversity analysis, haplotype reconstruction and network, linkage disequilibrium), SNiPlay3 proposes new modules for GWAS (genome-wide association studies), population stratification, distance tree analysis and visualization of SNP density. Additionally, we developed a suite of Galaxy wrappers for each step of the SNiPlay3 process, so that the complete pipeline can also be deployed on a Galaxy instance using the Galaxy ToolShed procedure and then be computed as a Galaxy workflow. SNiPlay is accessible at http://sniplay.southgreen.fr.}, URL = {http://nar.oxfordjournals.org/content/early/2015/06/03/nar.gkv351.abstract}, eprint = {http://nar.oxfordjournals.org/content/early/2015/06/03/nar.gkv351.full.pdf+html}, journal = {Nucleic Acids Research} } }</citation> </citations> </tool>