Integrative Analysis of Cancer Genes in a Functional Interactome

Matthew H. Ung
Chun-Chi Liu
Chao Cheng

Ung, Matthew||Liu, Chun-Chi||Cheng, Chao


The post-genomic era has resulted in the accumulation of high-throughput cancer data from a vast array of genomic technologies including next-generation sequencing and microarray. As such, the large amounts of germline variant and somatic mutation data that have been generated from GWAS and sequencing projects, respectively, show great promise in providing a systems-level view of these genetic aberrations. In this study, we analyze publicly available GWAS, somatic mutation, and drug target data