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CNVKIT_BATCH(1) User Commands CNVKIT_BATCH(1)

NAME

cnvkit_batch - Run the complete CNVkit pipeline on one or more BAM files.

DESCRIPTION

usage: cnvkit batch [-h] [-m {hybrid,amplicon,wgs}] [-y] [-c]
[--drop-low-coverage] [-p [PROCESSES]]
[--rscript-path PATH] [-n [FILES [FILES ...]]] [-f FILENAME] [-t FILENAME] [-a FILENAME] [--annotate FILENAME] [--short-names] [--target-avg-size TARGET_AVG_SIZE] [-g FILENAME] [--antitarget-avg-size ANTITARGET_AVG_SIZE] [--antitarget-min-size ANTITARGET_MIN_SIZE] [--output-reference FILENAME] [-r REFERENCE] [-d DIRECTORY] [--scatter] [--diagram] [bam_files [bam_files ...]]

positional arguments:

bam_files
Mapped sequence reads (.bam)

optional arguments:

-h, --help
show this help message and exit
-m {hybrid,amplicon,wgs}, --method {hybrid,amplicon,wgs}
Sequencing protocol: hybridization capture ('hybrid'), targeted amplicon sequencing ('amplicon'), or whole genome sequencing ('wgs'). Determines whether and how to use antitarget bins. [Default: hybrid]
-y, --male-reference, --haploid-x-reference
Use or assume a male reference (i.e. female samples will have +1 log-CNR of chrX; otherwise male samples would have -1 chrX).
-c, --count-reads
Get read depths by counting read midpoints within each bin. (An alternative algorithm).
--drop-low-coverage
Drop very-low-coverage bins before segmentation to avoid false-positive deletions in poor-quality tumor samples.
-p [PROCESSES], --processes [PROCESSES]
Number of subprocesses used to running each of the BAM files in parallel. Without an argument, use the maximum number of available CPUs. [Default: process each BAM in serial]
--rscript-path PATH
Path to the Rscript executable to use for running R code. Use this option to specify a non-default R installation. [Default: Rscript]

To construct a new copy number reference:

-n [FILES [FILES ...]], --normal [FILES [FILES ...]]
Normal samples (.bam) used to construct the pooled, paired, or flat reference. If this option is used but no filenames are given, a "flat" reference will be built. Otherwise, all filenames following this option will be used.
-f FILENAME, --fasta FILENAME
Reference genome, FASTA format (e.g. UCSC hg19.fa)
-t FILENAME, --targets FILENAME
Target intervals (.bed or .list)
-a FILENAME, --antitargets FILENAME
Antitarget intervals (.bed or .list)
--annotate FILENAME
Use gene models from this file to assign names to the target regions. Format: UCSC refFlat.txt or ensFlat.txt file (preferred), or BED, interval list, GFF, or similar.
--short-names
Reduce multi-accession bait labels to be short and consistent.
--target-avg-size TARGET_AVG_SIZE
Average size of split target bins (results are approximate).
-g FILENAME, --access FILENAME
Regions of accessible sequence on chromosomes (.bed), as output by the 'access' command.
--antitarget-avg-size ANTITARGET_AVG_SIZE
Average size of antitarget bins (results are approximate).
--antitarget-min-size ANTITARGET_MIN_SIZE
Minimum size of antitarget bins (smaller regions are dropped).
--output-reference FILENAME
Output filename/path for the new reference file being created. (If given, ignores the -o/--output-dir option and will write the file to the given path. Otherwise, "reference.cnn" will be created in the current directory or specified output directory.)

To reuse an existing reference:

-r REFERENCE, --reference REFERENCE
Copy number reference file (.cnn).

Output options:

-d DIRECTORY, --output-dir DIRECTORY
Output directory.
--scatter
Create a whole-genome copy ratio profile as a PDF scatter plot.
--diagram
Create an ideogram of copy ratios on chromosomes as a PDF.
March 2019 cnvkit_batch 0.9.5