dndscv-package: Detection of selection in cancer and somatic evolution

In im3sanger/dndscv: Poisson-based dN/dS models to quantify natural selection in somatic evolution

Detection of selection in cancer and somatic evolution

Description

Detection of selection in cancer and somatic evolution

Details

The dNdScv R package is a suite of maximum-likelihood dN/dS methods designed to quantify selection in cancer and somatic evolution (Martincorena et al., 2017). The package contains functions to quantify dN/dS ratios for missense, nonsense and essential splice mutations, at the level of individual genes, groups of genes or at whole-genome level. The dNdScv method was designed to detect cancer driver genes (i.e. genes under positive selection in cancer) on datasets ranging from a few samples to thousands of samples, in whole-exome/genome or targeted sequencing studies.

Author(s)

Inigo Martincorena, Wellcome Trust Sanger Institute, [e-mail]

References

Martincorena I, et al. (2017) Universal Patterns of Selection in Cancer and Somatic Tissues. Cell.

See Also

dndscv

buildref

im3sanger/dndscv documentation built on Oct. 1, 2023, 1:05 p.m.