Ontology highlight
ABSTRACT:
SUBMITTER: Wong JKL
PROVIDER: S-EPMC8748499 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature
Wong John K L JKL Aichmüller Christian C Schulze Markus M Hlevnjak Mario M Elgaafary Shaymaa S Lichter Peter P Zapatka Marc M
Nature communications 20220110 1
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 tri- and penta-nucleotide motifs for hotspot discovery. Knowledge-based annotations o ...[more]