Deciphering of Somatic Mutational Signatures of Cancer

Abstract

Somatic mutational signatures from genome sequencing play important roles in exploring the cause and development of cancer. However, it is still a challenge to infer their potential meanings (i.e., cancer causal or biological functions). Here we presented Gene Somatic Genome Pattern (GSGP), a computational framework which is able to decipher cancer casual factors and molecular mechanisms of the signatures to help in understanding causal biological processes leading to cancer.