CNVpytor Track

The CNVpytor track (type = 'cnvpytor') is a tool for copy number analysis from read depth and B-allele frequency (BAF) of variants. As input, it takes BAM and/or VCF files. The analyzed data is stored in pytor file and can be viewed using cnvpytor track in igv. One can also use a whole genome VCF file as an input to the cnvpytor track. In such a case read depth and BAF information are calculated on-fly.

For details: https://github.com/abyzovlab/CNVpytor

File formats#

cnvpytor track can be loaded from either pytor or VCF files.

pytor#

vcf#

Whole genome VCF file with constraints.

Loading the data may take time, as it reads the entire VCF file and calculates the signals.

Configuration Options#

General options

Property Description Default
signal_name Available Signal names
  • rd_snp : Read Depth and BAF Likelihood
  • rd : Read depth
  • snp : BAF likelihood
rd_snp
cnv_caller Name of CNV caller
Options
  • ReadDepth: Uses Read depth information only
  • 2D: Uses both Read depth and BAF information
Shows data based on available caller data.
2D
bin_size Bin size
  • pytor file: Bin size should be avialable in the pytor file
  • vcf: Bin size should be multiple of 10,000
100000
colors Color of the signals. Signal details are in file format section. ['gray', 'black', 'green', 'blue']

Examples#

pytor file as input#
{
    id: "pytor_track",
    type: "cnvpytor",
    name: "HepG2 pytor",
    url: "https://storage.googleapis.com/cnvpytor_data/HepG2_WGS.pytor",
}
View#

VCF file as input#
{
    id: "cnvpytor_track_vcf",
    type: "cnvpytor",
    name: "HepG2 VCF",
    url: "https://storage.googleapis.com/cnvpytor_data/HepG2.vcf.gz",
}
View#