Infer Whole-genome doubling (WGD) and percent genome altered (PGA) using FACETS output
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Infers whole genome doubling based on Bielski CM, Zehir A, Penson AV, et al. Genome doubling shapes the evolution and prognosis of advanced cancers. Calculates major copy number (MCN) estimate based on total copy number (TCN) estimate and minor copy number (LCN) estimate from FACETS and calls whole-genome doubling if the average MCN across the autosomal genome is greater than 2. In cases that LCN is equal to NA, a value of 0 is used.
docker run -it asntech/infer_wgd_pga:v1.0 infer_wgd.py --help
Inputs:
Outputs:
Infers the percentage of the genome altered by copy number alterations (differences from normal ploidy). Commonly used in a variety of papers, (example here). This is done by taking all the segments that do not match diploid copy number (2 for autosomes and 1 for sex chromosomes) and computing their sizes, then dividing by the total size of all the segments. In cases that total copy number is equal to NA, a value of 0 is used, although this should be impossible.
docker run -it asntech/infer_wgd_pga:v1.0 infer_pga.py --help
Inputs:
Outputs:
These two scripts to infer WGD and PGA come from: https://github.com/vanallenlab/facets
Content type
Image
Digest
Size
437.4 MB
Last updated
over 4 years ago
docker pull asntech/infer_wgd_pga:v1.0