Provided by: cnvkit_0.9.12-1_all 

NAME
cnvkit_reference - Compile a coverage reference from the given files (normal samples).
DESCRIPTION
usage: cnvkit.py reference [-h] [-f FASTA] [-o FILENAME] [-c]
[--min-cluster-size NUM]
[-x {m,y,male,Male,f,x,female,Female}] [-y] [-t TARGETS] [-a ANTITARGETS] [--no-gc] [--no-edge]
[--no-rmask] [references ...]
positional arguments:
references
Normal-sample target or antitarget .cnn files, or the directory that contains them.
options:
-h, --help
show this help message and exit
-f FASTA, --fasta FASTA
Reference genome, FASTA format (e.g. UCSC hg19.fa)
-o FILENAME, --output FILENAME
Output file name.
-c, --cluster
Calculate and store summary stats for clustered subsets of the normal samples with similar
coverage profiles.
--min-cluster-size NUM
Minimum cluster size to keep in reference profiles. [Default: 4]
-x {m,y,male,Male,f,x,female,Female}, --sample-sex {m,y,male,Male,f,x,female,Female}, -g
{m,y,male,Male,f,x,female,Female}, --gender {m,y,male,Male,f,x,female,Female}
Specify the chromosomal sex of all given samples as male or female. (Default: guess each sample
from coverage of X and Y chromosomes).
-y, --male-reference, --haploid-x-reference
Create a male reference: shift female samples' chrX log-coverage by -1, so the reference chrX
average is -1. Otherwise, shift male samples' chrX by +1, so the reference chrX average is 0.
To construct a generic, flat" copy number reference with neutral expected coverage:"
-t TARGETS, --targets TARGETS
Target intervals (.bed or .list)
-a ANTITARGETS, --antitargets ANTITARGETS
Antitarget intervals (.bed or .list)
To disable specific automatic bias corrections:
--no-gc
Skip GC correction.
--no-edge
Skip edge-effect correction.
--no-rmask
Skip RepeatMasker correction.
cnvkit.py reference 0.9.10 July 2023 CNVKIT_REFERENCE(1)