Ontology highlight
ABSTRACT:
SUBMITTER: Shuai S
PROVIDER: S-EPMC7002750 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Shuai Shimin S Gallinger Steven S Stein Lincoln D LD
Nature communications 20200205 1
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole genomes. Using a total of 1373 genomic features ...[more]