Mercurial > repos > frogs > frogs_3_1_0
diff remove_chimera.xml @ 0:59bc96331073 draft default tip
planemo upload for repository https://github.com/geraldinepascal/FROGS-wrappers/tree/v3.1.0 commit 08296fc88e3e938c482c631bd515b3b7a0499647
author | frogs |
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date | Thu, 28 Feb 2019 10:14:49 -0500 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/remove_chimera.xml Thu Feb 28 10:14:49 2019 -0500 @@ -0,0 +1,174 @@ +<?xml version="1.0"?> +<!-- +# Copyright (C) 2015 INRA +# +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with this program. If not, see <http://www.gnu.org/licenses/>. +--> +<tool id="FROGS_remove_chimera" name="FROGS Remove chimera" version="3.1"> + <description>Remove PCR chimera in each sample.</description> + <requirements> + <requirement type="package" version="3.1.0">frogs</requirement> + </requirements> + <stdio> + <exit_code range="1:" /> + <exit_code range=":-1" /> + </stdio> + <command> + remove_chimera.py + --nb-cpus \${GALAXY_SLOTS:-1} + --input-fasta $sequence_file --non-chimera $non_chimera_fasta + --summary $summary_file + #if $abundance_type.abundance_type_selected == "biom" + --input-biom $abundance_biom + --out-abundance $out_abundance_biom + #else + --input-count $abundance_count + --out-abundance $out_abundance_count + #end if + </command> + <inputs> + <!-- Files --> + <param format="fasta" name="sequence_file" type="data" label="Sequences file" help="The sequences file (format: fasta)." optional="false" /> + <conditional name="abundance_type"> + <param name="abundance_type_selected" type="select" label="Abundance type" help="Select the type of file where the abundance of each sequence by sample is stored."> + <option value="biom" selected="true">BIOM file</option> + <option value="count">TSV file</option> + </param> + <when value="biom"> + <param format="biom1" name="abundance_biom" type="data" label="Abundance file" help="It contains the count by sample for each sequence." optional="false" /> + </when> + <when value="count"> + <param format="tabular" name="abundance_count" type="data" label="Count file" help="It contains the count by sample for each sequence (see below)." optional="false" /> + </when> + </conditional> + </inputs> + <outputs> + <data format="fasta" name="non_chimera_fasta" label="${tool.name}: non_chimera.fasta" from_work_dir="non_chimera.fasta"/> + <data format="biom1" name="out_abundance_biom" label="${tool.name}: non_chimera_abundance.biom" from_work_dir="non_chimera_abundance.biom"> + <filter>abundance_type['abundance_type_selected'] == "biom"</filter> + </data> + <data format="tabular" name="out_abundance_count" label="${tool.name}: non_chimera_abundance.tsv" from_work_dir="non_chimera_abundance.tsv"> + <filter>abundance_type['abundance_type_selected'] == "count"</filter> + </data> + <data format="html" name="summary_file" label="${tool.name}: report.html" from_work_dir="report.html"/> + </outputs> + <tests> + <test> + <param name="sequence_file" value="references/02-clustering.fasta"/> + <conditional name="abundance_type"> + <param name="abundance_type_selected" value="biom"/> + <param name="abundance_biom" value="references/02-clustering.biom" /> + </conditional> + <output name="non_chimera_fasta" file="references/03-chimera.fasta"/> + </test> + </tests> + <help> + +.. image:: static/images/frogs_images/FROGS_logo.png + :height: 144 + :width: 110 + + +.. class:: infomark page-header h2 + +What it does + +Remove chimeric sequences by sample. + + +.. class:: infomark page-header h2 + +Context + +Chimeras are sequences formed from two or more biological sequences joined together. + +The majority of these anomalous sequences are formed from an incomplete extension during a PCR cycle. During subsequent cycles, a partially extended strand can bind to a template derived from a different but similar sequence. + +This phenomena is particularly common in amplicon sequencing where closely related sequences are amplified. + + +.. class:: infomark page-header h2 + +Inputs/Outputs + +.. class:: h3 + +Inputs + +**Sequence file**: + +The sequences (format `FASTA <https://en.wikipedia.org/wiki/FASTA_format>`_). + +**Abundance file**: + + The abundance of each cluster in each sample (format `BIOM <http://biom-format.org/>`_). + +OR + + The abundance of each sequence in each sample (format `TSV <https://en.wikipedia.org/wiki/Tab-separated_values>`_). This type of file is produced by *FROGS pre-process*. + + Example:: + + #id splA splB + seq1 1289 2901 + seq2 3415 0 + +.. class:: h3 + +Outputs + +**Sequence file** (non_chimera.fasta): + + The sequence file with only non-chimera (format `FASTA <https://en.wikipedia.org/wiki/FASTA_format>`_). + +**Abundance file** (non_chimera.biom or non_chimera.tsv): + + The abundance file with only non-chimera (format the same of the abundance input). + +**Summary file** (report.html): + + This file presents the number of removed elements (format `HTML <https://en.wikipedia.org/wiki/HTML>`_). + + +.. class:: infomark page-header h2 + +How it works + +.. csv-table:: + :header: "Steps", "Description" + :widths: 10, 90 + :class: table table-striped + + "1", "Split input data by sample (classicaly the PCR is realised by sample)." + "2", "Find chimera in each sample (`vsearch <https://github.com/torognes/vsearch>`_)." + "3", "Remove the sequences identify as chimera in all samples where they are present." + + +---- + +**Contact** + +Contacts: frogs@inra.fr + +Repository: https://github.com/geraldinepascal/FROGS +website: http://frogs.toulouse.inra.fr/ + +Please cite the **FROGS article**: *Escudie F., et al. Bioinformatics, 2018. FROGS: Find, Rapidly, OTUs with Galaxy Solution.* + + </help> + <citations> + <citation type="doi">10.1093/bioinformatics/btx791</citation> + </citations> + +</tool>