Assess sequence coverage by a wide array of metrics, partitioned by sample, read group, or library
This tool processes a set of bam files to determine coverage at different levels of partitioning and aggregation. Coverage can be analyzed per locus, per interval, per gene, or in total; can be partitioned by sample, by read group, by technology, by center, or by library; and can be summarized by mean, median, quartiles, and/or percentage of bases covered to or beyond a threshold. Additionally, reads and bases can be filtered by mapping or base quality score.
One or more bam files (with proper headers) to be analyzed for coverage statistics
(Optional) A REFSEQ Rod to aggregate coverage to the gene level
(for information about creating the REFSEQ Rod, please consult the online documentation)
Tables pertaining to different coverage summaries. Suffix on the table files declares the contents:
- no suffix: per locus coverage
- _summary: total, mean, median, quartiles, and threshold proportions, aggregated over all bases
- _statistics: coverage histograms (# locus with X coverage), aggregated over all bases
- _interval_summary: total, mean, median, quartiles, and threshold proportions, aggregated per interval
- _interval_statistics: 2x2 table of # of intervals covered to >= X depth in >=Y samples
- _gene_summary: total, mean, median, quartiles, and threshold proportions, aggregated per gene
- _gene_statistics: 2x2 table of # of genes covered to >= X depth in >= Y samples
- _cumulative_coverage_counts: coverage histograms (# locus with >= X coverage), aggregated over all bases
- _cumulative_coverage_proportions: proprotions of loci with >= X coverage, aggregated over all bases
java -Xmx2g -jar GenomeAnalysisTK.jar \ -R ref.fasta \ -T DepthOfCoverage \ -o file_name_base \ -I input_bams.list [-geneList refSeq.sorted.txt] \ [-pt readgroup] \ [-ct 4 -ct 6 -ct 10] \ [-L my_capture_genes.interval_list]
These Read Filters are automatically applied to the data by the Engine before processing by DepthOfCoverage.
This tool can be run in multi-threaded mode using this option.
This tool does not apply any downsampling by default.
The arguments described in the entries below can be supplied to this tool to modify its behavior. For example, the -L argument directs the GATK engine restricts processing to specific genomic intervals (this is an Engine capability and is therefore available to all GATK walkers).
This table summarizes the command-line arguments that are specific to this tool. For more details on each argument, see the list further down below the table or click on an argument name to jump directly to that entry in the list.
|Argument name(s)||Default value||Summary|
|None||An output file created by the walker. Will overwrite contents if file exists|
|NA||Calculate coverage statistics over this list of genes|
||COUNT_READS||How should overlapping reads from the same fragment be handled?|
||127||Maximum quality of bases to count towards depth|
||2147483647||Maximum mapping quality of reads to count towards depth|
|-1||Minimum quality of bases to count towards depth|
|-1||Minimum mapping quality of reads to count towards depth|
||rtable||The format of the output file|
|[sample]||Partition type for depth of coverage|
|false||Do not output depth of coverage at each base|
|false||Do not calculate per-interval statistics|
||false||Do not calculate per-sample per-depth counts of loci|
|false||Do not output the summary files per-sample|
|false||Add base counts to per-locus output|
||499||Number of bins to use for granular binning|
||1||Starting (left endpoint) for granular binning|
||500||Ending (right endpoint) for granular binning|
|||Coverage threshold (in percent) for summarizing statistics|
||false||Ignore sites consisting only of deletions|
|false||Include information on deletions|
||false||Include sites where the reference is N|
||false||Print the bin values and exit immediately|
Arguments in this list are specific to this tool. Keep in mind that other arguments are available that are shared with other tools (e.g. command-line GATK arguments); see Inherited arguments above.
Calculate coverage statistics over this list of genes
Specify a RefSeq file for use in aggregating coverage statistics over genes.
How should overlapping reads from the same fragment be handled?
The --countType argument is an enumerated type (CountPileupType), which can have one of the following values:
Ignore sites consisting only of deletions
Include information on deletions
Consider a spanning deletion as contributing to coverage. Also enables deletion counts in per-base output.
Include sites where the reference is N
Normally, sites where the reference is N (or another non-canonical base) are skipped. If this option is enabled, these sites will be included in DoC calculations if there is coverage from neighboring reads.
Maximum quality of bases to count towards depth
Bases with quality scores higher than this threshold will be skipped. The default value is the largest number that can be represented as a byte.
byte 127 [ [ 0 127 ] ]
Maximum mapping quality of reads to count towards depth
Reads with mapping quality values higher than this threshold will be skipped. The default value is the largest number that can be represented as an integer by the program.
int 2147483647 [ [ 0 2,147,483,647 ] ]
Minimum quality of bases to count towards depth
Bases with quality scores lower than this threshold will be skipped. This is set to -1 by default to disable the evaluation and ignore this threshold.
byte -1 [ [ 0 127 ] ]
Minimum mapping quality of reads to count towards depth
Reads with mapping quality values lower than this threshold will be skipped. This is set to -1 by default to disable the evaluation and ignore this threshold.
int -1 [ [ 0 2,147,483,647 ] ]
Number of bins to use for granular binning
Sets the number of bins for granular binning
int 499 [ [ 0 [ 1 ∞ ] ]
Do not output depth of coverage at each base
Disabling the tabulation of total coverage at every base should speed up processing.
Do not calculate per-interval statistics
Disabling the tabulation of interval statistics (mean, median, quartiles AND # intervals by sample by coverage) should speed up processing. This option is required in order to use -nt parallelism.
Do not calculate per-sample per-depth counts of loci
Disabling the tabulation of locus statistics (# loci covered by sample by coverage) should speed up processing.
Do not output the summary files per-sample
This option simply disables writing separate files for per-sample summary statistics (total, mean, median, quartile coverage per sample). These statistics are still calculated internally, so enabling this option will not improve runtime.
An output file created by the walker. Will overwrite contents if file exists
The format of the output file
Output file format (e.g. csv, table, rtable); defaults to r-readable table.
Partition type for depth of coverage
By default, coverage is partitioning by sample, but it can be any combination of sample, readgroup and/or library.
Add base counts to per-locus output
Instead of reporting depth, the program will report the base pileup at each locus
Print the bin values and exit immediately
Use this option to calibrate what bins you want before performing full calculations on your data.
Starting (left endpoint) for granular binning
Sets the low-coverage cutoff for granular binning. All loci with depth < START are counted in the first bin.
int 1 [ [ 0 ∞ ] ]
Ending (right endpoint) for granular binning
Sets the high-coverage cutoff for granular binning. All loci with depth > STOP are counted in the last bin.
int 500 [ [ 1 ∞ ] ]
Coverage threshold (in percent) for summarizing statistics
For summary file outputs, report the percentage of bases covered to an amount equal to or greater than this number (e.g. % bases >= CT for each sample). Defaults to 15; can take multiple arguments.
GATK version 3.2-2-gec30cee built at 2014/09/12 22:29:29. GTD: MC