Mercurial > repos > dereeper > sniplay
view PedToFasta/pedToFasta.xml @ 10:c6640c49fd01 draft
planemo upload commit 475f4d7d8442a0d75e103af326ae5881c4d2a4ac
author | dereeper |
---|---|
date | Mon, 16 Apr 2018 09:00:24 -0400 |
parents | 98c37a5d67f4 |
children |
line wrap: on
line source
<tool id="sniplay_pedToFasta" name="Ped2Fasta" version="2.0.0"> <!-- [REQUIRED] Tool description displayed after the tool name --> <description> Convert PED file to Fasta File </description> <!-- [OPTIONAL] 3rd party tools, binaries, modules... required for the tool to work --> <requirements> <requirement type="binary">perl</requirement> </requirements> <!-- [STRONGLY RECOMMANDED] Exit code rules --> <stdio> <!-- [HELP] If no exit code rule is defined, the tool will stop if anything is written to STDERR --> <exit_code range="1:" level="fatal" /> </stdio> <!-- [OPTIONAL] Command to be executed to get the tool's version string --> <version_command> <!-- tool_binary -v --> </version_command> <!-- [REQUIRED] The command to execute --> <command interpreter="perl"> Ped2Fasta.pl --in $filein --out $fileout </command> <!-- [REQUIRED] Input files and tool parameters --> <inputs> <param name="filein" type="data" format="txt" optional="false" label="PED input" /> <param name="fileout_label" type="text" value="filtered" optional="false" label="Output file name"/> </inputs> <!-- [REQUIRED] Output files --> <outputs> <data name="fileout" format="fasta" label="${fileout_label}.fa" /> </outputs> <!-- [OPTIONAL] Tests to be run manually by the Galaxy admin --> <tests> <!-- [HELP] Test files have to be in the ~/test-data directory --> <test> <param name="filein" value="ped2fasta-sample.ped" /> <output name="fileout" file="ped2fasta-result.fa" /> </test> </tests> <!-- [OPTIONAL] Help displayed in Galaxy --> <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** Provided by Southgreen & Andres Gwendoline (Institut Français de Bioinformatique) & Marcon Valentin (IFB & INRA) .. class:: infomark **Support** For any questions about Galaxy integration, please send an e-mail to alexis.dereeper@ird.fr --------------------------------------------------- ========= Ped2Fasta ========= ----------- Description ----------- | Convert PED file to Fasta File ---------- Input file ---------- PED file PED file usually from VCF tools --------- Parameter --------- Output file name Prefix for the output fasta file ----------- Output file ----------- Fasta file PED file conversion --------------------------------------------------- --------------- Working example --------------- Input file ========== PED file --------- :: CATB1 CATB1 0 0 0 0 C T T A C T A T A T A G G A Parameter ========= Output name -> pedFile Output file =========== pedFile.fa ---------- :: YWYWWRRSYYMKRRKMYRKSRKYRYRYKRKRSKKSYRWYSYRRYRRRWYWWYYWRRYRSRWSSRMYRRKSWMSKWRRYYWMYKYWRSYRWRYMWYYYMKYKYWRYRYRY ]]></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>