To refer to this page use:
|Abstract:||A major aim of cancer genomics is to pinpoint which somatically mutated genes are involved in tumor initiation and progression. We introduce a new framework for uncovering cancer genes, differential mutation analysis, which compares the mutational profiles of genes across cancer genomes with their natural germline variation across healthy individuals. We present DiffMut, a fast and simple approach for differential mutational analysis, and demonstrate that it is more effective in discovering cancer genes than considerably more sophisticated approaches. We conclude that germline variation across healthy human genomes provides a powerful means for characterizing somatic mutation frequency and identifying cancer driver genes. DiffMut is available at https://github.com/Singh-Lab/Differential-Mutation-Analysis.|
|Electronic Publication Date:||25-Aug-2017|
|Citation:||Przytycki, PF, Singh, M. (2017). Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes. Genome Medicine, 9 (10.1186/s13073-017-0465-6|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||Genome Medicine|
|Version:||Final published version. Article is made available in OAR by the publisher's permission or policy.|
Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.