Provided by: cnvkit_0.9.6-3_amd64 bug


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


       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:
              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

              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

              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'

       --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

   To reuse an existing reference:
       -r REFERENCE, --reference REFERENCE
              Copy number reference file (.cnn).

   Output options:
       -d DIRECTORY, --output-dir DIRECTORY
              Output directory.

              Create a whole-genome copy ratio profile as a PDF scatter plot.

              Create an ideogram of copy ratios on chromosomes as a PDF.