The genome of a cancer cell carries somatic mutations that are the cumulative consequence of the DNA damage and repair processes. Until now there have been no theoretical models describing the signatures of mutational processes operative in cancer genomes and no systematic computational approaches are available to decipher these mutational signatures. Here, we introduce a MATLAB based computational framework that effectively addresses these questions. Our approach provides a basis for characterizing mutational signatures from cancer-derived somatic mutational catalogues, paving the way to insights into the common pathogenetic mechanism underlying all cancers. Additionally, we provide multiple input files for both evaluating the framework and performing mutational signature analysis on various cancer types. Please see the included readme.pdf file and the supporting article for more information about the theoretical model and how to use the provided computational framework.
Data has been separated in folders based on publications. Functions for plotting individual samples have been provided.
Several minor plotting bugs were fixed. Additionally, we have included extensive cancer genomics data allowing mutational signature analysis of multiple cancer types.
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