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 - processing large numbers of datasets at once
This will be added shortly
Inputs, outputs, and parameters
Either a SAM file or a BAM file must be supplied. Galaxy automatically coordinate-sorts all uploaded BAM files.
From Picard documentation( http://broadinstitute.github.io/picard/):
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 This option is only needed if your read names do not follow a standard illumina convention of colon separation but do contain tile, x, and y coordinates (unusual). A 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: '' 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 duplicate clusters in order to consider them optical duplicates. This should be set to 100 for (circa 2011+) read names and typical flowcells. Structured flow cells (NovaSeq, HiSeq 4000, X) should use ~2500. For older conventions, distances could be to some fairly small number (e.g. 5-10 pixels) Default value: 100. BARCODE_TAG=String Barcode SAM tag (ex. BC for 10X Genomics) Default value: null.
Additional information
Additional information about Picard tools is available from Picard web site at http://broadinstitute.github.io/picard/ .