Decipher Mutational Signatures from Somatic Mutational Catalogs

Cancer cells accumulate DNA mutations as result of DNA damage and DNA repair processes. This computational framework is aimed at deciphering DNA mutational signatures operating in cancer. The input is a numeric matrix of DNA mutation counts detected in a panel of cancer samples. The framework performs Non-negative Matrix Factorization to extract the most likely signatures explaining the observed set of DNA mutations. The framework relies on parallelization and is optimized for use on multi-core systems. This framework is an R-based implementation of the original MATLAB WTSI framework by Alexandrov LB et al (2013) .


Reference manual

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1.2 by Damiano Fantini, 8 months ago

Browse source code at

Authors: Damiano Fantini, Joshua J Meeks

Documentation:   PDF Manual  

GPL-2 license

Imports cluster, pracma, proxy

Depends on doParallel, ggplot2, foreach

See at CRAN