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Association of mutation signature effectuating processes with mutation hotspots in driver genes and non-coding regions

10 Jan 2022

Abstract excerpt

Cancer driving mutations are difficult to identify especially in the non-coding part of the genome. Here, we present sigDriver, an algorithm dedicated to call driver mutations. Using 3813 whole-genome sequenced tumors from International Cancer Genome Consortium, The Cancer Genome Atlas Program, and a childhood pan-cancer cohort, we employ mutational signatures based on single-base substitution in the context of...

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PMID: 35013316
DOI: 10.1038/s41467-021-27792-6

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