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<paramname="input_data"type="data"format="fastq,fastq.gz"multiple="true"label="FASTQ input files"help="Data is in (compressed) fastq format" />
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</when>
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<whenvalue="fastq_r">
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<paramname="input_data"type="data"format="fastq,fastq.gz"multiple="true"label="FASTQ input files"help="Data is in one or more fastq file(s) generated by MinKNOW or guppy with additional information concerning channel and time" />
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</when>
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<whenvalue="fasta">
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<paramname="input_data"type="data"format="fasta,fasta.gz"multiple="true"label="FASTA input files"help="Data is in (compressed) fasta format" />
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</when>
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<whenvalue="bam">
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<paramname="input_data"type="data"format="bam"multiple="true"label="BAM input files"help="Data is in sorted bam files." />
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</when>
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<whenvalue="ubam">
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<paramname="input_data"type="data"format="bam"multiple="true"label="Unmapped BAM input files"help="Data is in one or more unmapped bam files." />
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</when>
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<whenvalue="cram">
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<paramname="input_data"type="data"format="cram"multiple="true"label="CRAM input files"help="Data is in sorted cram files." />
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</when>
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<whenvalue="pickle">
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<paramname="input_data"type="data"format="binary"multiple="true"label="PICKLE input files"help="Data is in one or more pickle file(s) from using NanoComp/NanoPlot." />
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</when>
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<whenvalue="arrow">
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<paramname="input_data"type="data"format="binary"multiple="true"label="ARROW input files"help="Data is in one or more feather/arrow file(s)." />
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</when>
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</conditional>
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</section>
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<sectionname="filters"title="Filtering Input Prior To Plotting"expanded="false">
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<paramargument="--maxlength"type="integer"optional="true"label="Max read length filtering"help="Drop reads longer than length specified." />
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<paramargument="--minlength"type="integer"optional="true"label="Min read length filtering"help="Drop reads shorter than length specified." />
<paramname="input_data"type="data"format="fastqsanger,fastqsanger.gz"multiple="true"label="FASTQ input files"help="Data is in (compressed) fastq format" />
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</when>
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<whenvalue="fastq_r">
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<paramname="input_data"type="data"format="fastqsanger,fastqsanger.gz"multiple="true"label="FASTQ input files"help="Data is in one or more fastq file(s) generated by MinKNOW or guppy with additional information concerning channel and time" />
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</when>
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<whenvalue="fasta">
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<paramname="input_data"type="data"format="fasta,fasta.gz"multiple="true"label="FASTA input files"help="Data is in (compressed) fasta format" />
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</when>
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<whenvalue="bam">
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<paramname="input_data"type="data"format="bam"multiple="true"label="BAM input files"help="Data is in sorted bam files." />
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</when>
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<whenvalue="ubam">
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<paramname="input_data"type="data"format="bam"multiple="true"label="Unmapped BAM input files"help="Data is in one or more unmapped bam files." />
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</when>
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<whenvalue="cram">
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<paramname="input_data"type="data"format="cram"multiple="true"label="CRAM input files"help="Data is in sorted cram files." />
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</when>
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<whenvalue="pickle">
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<paramname="input_data"type="data"format="binary"multiple="true"label="PICKLE input files"help="Data is in one or more pickle file(s) from using NanoComp/NanoPlot." />
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</when>
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<whenvalue="arrow">
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<paramname="input_data"type="data"format="binary"multiple="true"label="ARROW input files"help="Data is in one or more feather/arrow file(s)." />
<paramargument="--title"type="text"label="Custom plot titles"help="Add a title to all plots." />
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<paramargument="--names"type="text"label="Custom names"help="Specify the names (space seperated, respective to input) to be used for the datasets." />
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<paramargument="--colors"type="text"label="Custom colors"help="Specify the colors (space seperated, respective to input) to be used for each the datasets. Can be any valid Matplotlib color: Named, HEX-string, RGB, ... " />
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</section>
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<sectionname="filters"title="Filtering Input Prior To Plotting"expanded="false">
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<paramargument="--maxlength"type="integer"optional="true"label="Max read length filtering"help="Drop reads longer than length specified." />
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+
<paramargument="--minlength"type="integer"optional="true"label="Min read length filtering"help="Drop reads shorter than length specified." />
<paramargument="--tsv_stats"type="boolean"truevalue="--tsv_stats"falsevalue=""optional="true"checked="false"label="TSV Output Format"help="Output the statistics file as properly formatted TSV."/>
<paramargument="--title"type="text"label="Custom plot titles"help="Add a title to all plots." />
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<paramargument="--names"type="text"label="Custom names"help="Specify the names (space seperated, respective to input) to be used for the datasets." />
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<paramargument="--colors"type="text"label="Custom colors"help="Specify the colors (space seperated, respective to input) to be used for each the datasets. Can be any valid Matplotlib color: Named, HEX-string, RGB, ... " />
<paramargument="--tsv_stats"type="boolean"truevalue="--tsv_stats"falsevalue=""optional="true"checked="false"label="TSV Output Format"help="Output the statistics file as properly formatted TSV."/>
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</section>
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</inputs>
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<outputs>
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<dataname="out_log"format="txt"label="${tool.name} on ${on_string}: Log file"/>
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<dataname="stats_file"format="txt"from_work_dir="NanoStats.txt"label="${tool.name} on ${on_string}: Statistics file"/>
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<dataname="html_report"format="html"from_work_dir="NanoComp-report.html"label="${tool.name} on ${on_string}: Html Report"/>
Compare multiple runs of long read sequencing data and alignments. Creates violin plots or box plots of length, quality and percent identity and creates dynamic, overlaying read length histograms and a cumulative yield plot.
@@ -252,7 +254,7 @@ HTML file with the stats report and associated plots
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