annotate gtf2featureAnnotation.xml @ 1:247b439a78f7 draft

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author ebi-gxa
date Fri, 18 Oct 2019 10:10:54 -0400
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1 <tool id="_ensembl_gtf2gene_list" name="GTF2GeneAnnotationTable" version="1.42.1+galaxy1">
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2 <description>extracts a complete annotation table or subsets thereof from an Ensembl GTF using rtracklayer</description>
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3 <requirements>
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4 <requirement type="package" version="1.42.1">bioconductor-rtracklayer</requirement>
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5 <requirement type="package">bioconductor-biostrings</requirement>
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6 <requirement type="package">r-optparse</requirement>
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7 </requirements>
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8 <command detect_errors="exit_code"><![CDATA[
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9 ln -s '$gtf_input' input.gtf;
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10 $__tool_directory__/gtf2featureAnnotation.R --gtf-file input.gtf
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11 #if $noheader
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12 --no-header
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13 #end if
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14 #if $version_transcripts
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15 --version-transcripts
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16 #end if
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17 #if $mito.mark_mito
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18 --mito --mito-chr "${mito.mito_chr}" --mito-biotypes "${mito.mito_biotypes}"
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19 #end if
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20 #if $cdnas.filter_cdnas
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21 --filter-cdnas "${cdnas.fasta_input}" --filter-cdnas-field "${cdnas.cdnas_field}" --filter-cdnas-output "${fasta_output}"
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22 #end if
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23 --feature-type "${feature_type}" --first-field "${first_field}" --output-file annotation.txt --fields "${fields}"
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24 ]]></command>
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25
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26 <inputs>
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27 <param name="gtf_input" type="data" format="gff" label="Ensembl GTF file" />
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28 <param name="feature_type" type="text" optional='true' value="gene" label="Feature type for which to derive annotation"/>
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29 <param name="first_field" type="text" optional='true' value="gene_id" label="Field to place first in output table"/>
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30 <param name="noheader" type="boolean" checked="false" label="Suppress header line in output?"/>
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31 <param name="fields" type="text" optional='true' value="" label="Comma-separated list of field names to extract from the GTF (default: use all fields)"/>
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32 <param name="version_transcripts" type="boolean" checked="false" label="Append version to transcript identifiers?" help="For transcript feature type only: where the GTF contains transcript versions, should these be appended to transcript identifiers? Useful when generating transcript/gene mappings for use with transcriptomes"/>
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33 <conditional name="mito">
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34 <param name="mark_mito" type="boolean" checked="true" label="Flag mitochondrial features?"/>
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35 <when value="true">
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36 <param name="mito_chr" type="text" optional='true' value="mt,mitochondrion_genome,mito,m,chrM,chrMt" label="Comma-separated list of possible mitochondrial chromosome names (case insensitive)"/>
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37 <param name="mito_biotypes" type="text" optional='true' value="mt_trna,mt_rrna,mt_trna_pseudogene" label="Comma-separated list of possible mitochondrial biotypes (case insensitive)"/>
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38 </when>
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39 <when value="false" />
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40 </conditional>
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41 <conditional name="cdnas">
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42 <param name="filter_cdnas" type="boolean" checked="false" label="Filter a FASTA-format cDNA file to match annotations?" help="For some applications, e.g. transcriptome mappers, its useful to match a cDNAs file to an annotation list (e.g. transcript-to-gene mapping)"/>
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43 <when value="true">
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44 <param name="fasta_input" type="data" format="fasta" label="FASTA-format cDNA/ transcript file" />
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45 <param name="cdnas_field" type="text" optional='true' value="transcript_id" label="Annotation field to match with sequences."/>
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46 </when>
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47 <when value="false" />
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48 </conditional>
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49 </inputs>
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50
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51 <outputs>
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52 <data name="feature_annotation" format="tsv" from_work_dir="annotation.txt" label="${tool.name} on ${on_string}: annotation table"/>
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53 <data name="fasta_output" format="fasta" from_work_dir="filtered.fa.gz" label="${tool.name} on ${on_string}: annotation-matched sequences">
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54 <filter>filter_cdnas</filter>
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55 </data>
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56 </outputs>
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57 <tests>
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58 <test>
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59 <param name="gtf_input" ftype="gtf" value="test.gtf"/>
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60 <output name="feature_annotation" file="annotation.txt"/>
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61 </test>
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62 </tests>
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63
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64
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65 <help><![CDATA[
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66 .. class:: infomark
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67
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68 **What it does**
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69
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70 Given an Ensembl GTF file, it will extract all information on chromosomes, coordinates, and attributes provided at the specified feature level. Mitochondrial features can also be flagged.
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71
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72 You can also supply a fasta-format file of sequences, which will be filtered by identifier to match annotation. This can be useful for tools such as Alevin which need a transcript-to-gene mapping and a transcriptome file without any missing entries (with respect to annotation).
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73
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74
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75 **Inputs**
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76
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77 * Ensembl GTF file
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78
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79 -----
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80
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81 **Outputs**
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82
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83 * Gene annotations in tsv.
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84 ]]></help>
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85 <citations>
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86 <citation type="bibtex">
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87 @misc{github-hinxton-single-cell,
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88 author = {Jonathan Manning, EBI Gene Expression Team},
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89 year = {2019},
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90 title = {Hinxton Single Cell Anlysis Environment},
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91 publisher = {GitHub},
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92 journal = {GitHub repository},
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93 url = {https://github.com/ebi-gene-expression-group/container-galaxy-sc-tertiary},
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94 }</citation>
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95 </citations>
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96 </tool>