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view bam2wig.xml @ 50:f242ee103277 draft
planemo upload for repository https://github.com/lparsons/galaxy_tools/tree/master/tools/rseqc commit 91ad241aa3f34b70649d13a5f18611da7577a5ee
author | lparsons |
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date | Tue, 03 May 2016 16:36:57 -0400 |
parents | 6b33e31bda10 |
children | 09846d5169fa |
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<tool id="rseqc_bam2wig" name="BAM to Wiggle" version="2.4galaxy1"> <description> converts all types of RNA-seq data from .bam to .wig </description> <macros> <import>rseqc_macros.xml</import> </macros> <requirements> <expand macro="requirement_package_r" /> <expand macro="requirement_package_numpy" /> <expand macro="requirement_package_rseqc" /> </requirements> <expand macro="stdio" /> <version_command><![CDATA[bam2wig.py --version]]></version_command> <command><![CDATA[ ln -sfn '${input}' 'input.bam' && ln -sfn '${input.metadata.bam_index}' 'input.bam.bai' && bam2wig.py -i input.bam -s $chromsize -o outfile #if str($strand_type.strand_specific) == "pair" -d #if str($strand_type.pair_type) == "sd" '1++,1--,2+-,2-+' #else '1+-,1-+,2++,2--' #end if #end if #if str($strand_type.strand_specific) == "single" -d #if str($strand_type.single_type) == "s" '++,--' #else '+-,-+' #end if #end if #if $wigsum.wigsum_type -t $wigsum.totalwig #end if #if $multihits.skipmultihits --skip-multi-hits --mapq=$multihits.mapq #end if 2>&1 ]]> </command> <inputs> <param name="input" type="data" label="Input .bam File" format="bam" help="(--input-file)"/> <param name="chromsize" type="data" label="Chromosome size file (tab or space separated)" format="txt,tabular" help="(--chromSize)"/> <conditional name="multihits"> <param name="skipmultihits" type="boolean" label="Skip Multiple Hit Reads/Only Use Uniquely Mapped Reads" value="false" help="(--skip-multi-hits)" /> <when value="true"> <param name="mapq" value="30" type="integer" label="Minimum mapping quality for an alignment to be called 'uniquly mapped'" help="(--mapq)" /> </when> <when value="false" /> </conditional> <conditional name="wigsum"> <param name="wigsum_type" type="boolean" label="Specify wigsum?" value="false"> </param> <when value="true"> <param name="totalwig" value="0" type="integer" label="specified wigsum" help="(--wigsum)"/> </when> <when value="false"/> </conditional> <conditional name="strand_type"> <param name="strand_specific" type="select" label="Strand-specific?" value="none"> <option value="none">none</option> <option value="pair">Pair-End RNA-seq</option> <option value="single">Single-End RNA-seq</option> </param> <when value="pair"> <param name="pair_type" type="select" display="radio" label="Pair-End Read Type (format: mapped --> parent)" value="sd" help="(--strand)"> <option value="sd"> read1 (positive --> positive; negative --> negative), read2 (positive --> negative; negative --> positive)</option> <option value="ds">read1 (positive --> negative; negative --> positive), read2 (positive --> positive; negative --> negative)</option> </param> </when> <when value="single"> <param name="single_type" type="select" display="radio" label="Single-End Read Type (format: mapped --> parent)" value="s" help="(--strand)"> <option value="s">positive --> positive; negative --> negative</option> <option value="d">positive --> negative; negative --> positive</option> </param> </when> <when value="none"></when> </conditional> </inputs> <outputs> <data format="wig" name="output" from_work_dir="outfile.wig"> <filter>strand_type['strand_specific'] == 'none'</filter> </data> <data format="wig" name="outputfwd" from_work_dir="outfile.Forward.wig" label="${tool.name} on ${on_string} (Forward Reads)"> <filter>strand_type['strand_specific'] != 'none'</filter> </data> <data format="wig" name="outputrv" from_work_dir="outfile.Reverse.wig" label="${tool.name} on ${on_string} (Reverse Reads)"> <filter>strand_type['strand_specific'] != 'none'</filter> </data> </outputs> <tests> <test> <param name="input" value="pairend_strandspecific_51mer_hg19_chr1_1-100000.bam"/> <param name="chromsize" value="hg19.chrom.sizes"/> <output name="output" file="testwig.wig"/> </test> <test> <param name="input" value="pairend_strandspecific_51mer_hg19_chr1_1-100000.bam"/> <param name="chromsize" value="hg19.chrom.sizes"/> <param name="skipmultihits" value="True"/> <param name="mapq" value="20"/> <output name="output" file="testwig.wig"/> </test> <test> <param name="input" value="pairend_strandspecific_51mer_hg19_chr1_1-100000.bam"/> <param name="chromsize" value="hg19.chrom.sizes"/> <param name="strand_specific" value="pair"/> <param name="pair_type" value="sd"/> <output name="outputfwd" file="testwig.Forward.wig"/> <output name="outputrv" file="testwig.Reverse.wig"/> </test> </tests> <help><![CDATA[ bam2wig.py ++++++++++ Visualization is the most straightforward and effective way to QC your RNA-seq data. For example, change of expression or new splicing can be easily checked by visually comparing two RNA-seq tracks using genome browser such as UCSC_, IGB_ and IGV_. `bam2wig.py` converts all types of RNA-seq data from BAM_ format into wiggle_ format in one-stop. wiggle_ files can then be easily converted into bigwig_. Bigwig is indexed, binary format of wiggle file, and it's particular useful to display large, continuous dataset on genome browser. Inputs ++++++++++++++ Input BAM file Alignment file in BAM format (SAM is not supported). BAM file will be sorted and indexed using samTools. Chromosome size file Tab or space separated text file with 2 columns: first column is chromosome name, second column is size of the chromosome. Chromosome names (such as "chr1") should be consistent between this file and BAM file. Specified wigsum (default=none) Specified wigsum. Wigsum of 100000000 equals to coverage achieved by 1 million 100nt reads. Ignore this option to disable normalization. Skip multiple Hit reads skips multiple hit reads or only use uniquely mapped reads Strand-specific (default=none) How read(s) were stranded during sequencing. If you are not sure about the strand rule, run infer_experiment.py Outputs ++++++++++++++ If RNA-seq is not strand specific, one wig file will be generated, if RNA-seq is strand specific, two wig files corresponding to Forward and Reverse will be generated. ----- About RSeQC +++++++++++ The RSeQC_ package provides a number of useful modules that can comprehensively evaluate high throughput sequence data especially RNA-seq data. "Basic modules" quickly inspect sequence quality, nucleotide composition bias, PCR bias and GC bias, while "RNA-seq specific modules" investigate sequencing saturation status of both splicing junction detection and expression estimation, mapped reads clipping profile, mapped reads distribution, coverage uniformity over gene body, reproducibility, strand specificity and splice junction annotation. The RSeQC package is licensed under the GNU GPL v3 license. .. image:: http://rseqc.sourceforge.net/_static/logo.png .. _RSeQC: http://rseqc.sourceforge.net/ .. _UCSC: http://genome.ucsc.edu/index.html .. _IGB: http://bioviz.org/igb/ .. _IGV: http://www.broadinstitute.org/igv/home .. _BAM: http://genome.ucsc.edu/goldenPath/help/bam.html .. _wiggle: http://genome.ucsc.edu/goldenPath/help/wiggle.html .. _bigwig: http://genome.ucsc.edu/FAQ/FAQformat.html#format6.1 ]]> </help> <expand macro="citations" /> </tool>