Provided by: cnvkit_0.9.6-3_amd64
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.