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view picard_MarkDuplicates.xml @ 10:126c30841c38 draft
planemo upload for repository https://github.com/galaxyproject/tools-devteam/tree/master/tools/picard commit f65b40f4eb3c3431b8d9213f86238deebfd6bc29
author | devteam |
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date | Thu, 08 Dec 2016 06:43:24 -0500 |
parents | 41b8d087a2d2 |
children | a459ead5ab75 |
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<tool name="MarkDuplicates" id="picard_MarkDuplicates" version="@TOOL_VERSION@.0"> <description>examine aligned records in BAM datasets to locate duplicate molecules</description> <macros> <import>picard_macros.xml</import> </macros> <expand macro="requirements" /> <command detect_errors="exit_code"><![CDATA[ @java_options@ @symlink_element_identifier@ picard MarkDuplicates INPUT='$escaped_element_identifier' OUTPUT="${outFile}" METRICS_FILE="${metrics_file}" #for $element in $comments: COMMENT="${element.comment}" #end for REMOVE_DUPLICATES="${remove_duplicates}" ASSUME_SORTED="${assume_sorted}" DUPLICATE_SCORING_STRATEGY="${duplicate_scoring_strategy}" #import pipes READ_NAME_REGEX=${ pipes.quote( str( $read_name_regex ) ) or "''" } OPTICAL_DUPLICATE_PIXEL_DISTANCE="${optical_duplicate_pixel_distance}" VALIDATION_STRINGENCY="${validation_stringency}" QUIET=true VERBOSITY=ERROR ]]></command> <inputs> <param format="bam" name="inputFile" type="data" label="Select SAM/BAM dataset or dataset collection" help="If empty, upload or import a SAM/BAM dataset"/> <repeat name="comments" title="Comment" min="0" help="You can provide multiple comments"> <param name="comment" type="text" label="Add this comment to BAM dataset"/> </repeat> <param name="remove_duplicates" type="boolean" label="If true do not write duplicates to the output file instead of writing them with appropriate flags set" help="REMOVE_DUPLICATES; default=False"/> <param name="assume_sorted" type="boolean" label="Assume the input file is already sorted" checked="true" truevalue="true" falsevalue="false" help="ASSUME_SORTED; default=True"/> <param name="duplicate_scoring_strategy" type="select" label="The scoring strategy for choosing the non-duplicate among candidates" help="DUPLICATE_SCORING_STRATEGY; default=SUM_OF_BASE_QUALITIES"> <option value="SUM_OF_BASE_QUALITIES">SUM_OF_BASE_QUALITIES</option> <option value="TOTAL_MAPPED_REFERENCE_LENGTH">TOTAL_MAPPED_REFERENCE_LENGTH</option> </param> <param name="read_name_regex" type="text" value="[a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*." label="Regular expression that can be used to parse read names in the incoming SAM/BAM dataset" help="READ_NAME_REGEX; Read names are parsed to extract three variables: tile/region, x coordinate and y coordinate. These values are used to estimate the rate of optical duplication in order to give a more accurate estimated library size. See help below for more info; default=[a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*."> <sanitizer> <valid initial="string.printable"> </valid> </sanitizer> </param> <param name="optical_duplicate_pixel_distance" type="integer" value="100" min="0" max="500" label="The maximum offset between two duplicte clusters in order to consider them optical duplicates" help="OPTICAL_DUPLICATE_PIXEL_DISTANCE; default=100"/> <expand macro="VS" /> </inputs> <outputs> <data format="txt" name="metrics_file" label="${tool.name} on ${on_string}: MarkDuplicate metrics"/> <data format="bam" name="outFile" label="${tool.name} on ${on_string}: MarkDuplicates BAM output"/> </outputs> <tests> <test> <param name="inputFile" value="picard_MarkDuplicates.bam" ftype="bam"/> <param name="comment" value="test-run"/> <param name="assume_sorted" value="True"/> <param name="remove_duplicates" value="True"/> <param name="read_name_regex" value="[a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*."/> <param name="optical_duplicate_pixel_distance" value="100"/> <param name="duplicate_scoring_strategy" value="SUM_OF_BASE_QUALITIES"/> <param name="validation_stringency" value="LENIENT"/> <output name="outFile" file="picard_MarkDuplicates_test1.bam" ftype="bam" lines_diff="4"/> </test> </tests> <help> **Purpose** Examines aligned records in the supplied SAM or BAM dataset to locate duplicate molecules. All records are then written to the output file with the duplicate records flagged. @dataset_collections@ @description@ COMMENT=String CO=String Comment(s) to include in the output file's header. This option may be specified 0 or more times. REMOVE_DUPLICATES=Boolean If true do not write duplicates to the output file instead of writing them with appropriate flags set. Default value: false. READ_NAME_REGEX=String Regular expression that can be used to parse read names in the incoming SAM file. Read names are parsed to extract three variables: tile/region, x coordinate and y coordinate. These values are used to estimate the rate of optical duplication in order to give a more accurate estimated library size. Set this option to null to disable optical duplicate detection. The regular expression should contain three capture groups for the three variables, in order. It must match the entire read name. Note that if the default regex is specified, a regex match is not actually done, but instead the read name is split on colon character. For 5 element names, the 3rd, 4th and 5th elements are assumed to be tile, x and y values. For 7 element names (CASAVA 1.8), the 5th, 6th, and 7th elements are assumed to be tile, x and y values. Default value: [a-zA-Z0-9]+:[0-9]:([0-9]+):([0-9]+):([0-9]+).*. DUPLICATE_SCORING_STRATEGY=ScoringStrategy DS=ScoringStrategy The scoring strategy for choosing the non-duplicate among candidates. Default value: SUM_OF_BASE_QUALITIES. Possible values: {SUM_OF_BASE_QUALITIES, TOTAL_MAPPED_REFERENCE_LENGTH} OPTICAL_DUPLICATE_PIXEL_DISTANCE=Integer The maximum offset between two duplicte clusters in order to consider them optical duplicates. This should usually be set to some fairly small number (e.g. 5-10 pixels) unless using later versions of the Illumina pipeline that multiply pixel values by 10, in which case 50-100 is more normal. Default value: 100. @more_info@ </help> </tool>