The recent availability of unprecedented amounts of somatic mutation data from cancer patients has opened up a new avenue to cancer gene discovery. A major challenge in distinguishing cancer-causing driver mutations from inconsequential passenger mutations is, however, the long-tail of infrequently mutated genes. An important observation from cancer mutation landscapes is mutational convergence into cancer-associated pathways, which suggest potentials in pathway-centric analysis of mutation data. MUFFINN is a method for prioritizing cancer genes accounting for not only for mutations of individual genes but also those of neighbors in functional networks, MUFFINN (MUtations For Functional Impact on Network Neighbors).

MUFFINN: Cancer gene discovery via network analysis of somatic mutation data. Genome Biology 2016 17:129
PMID: 27333808 DOI: 10.1186/s13059-016-0989-x

Insuk Lee (insuklee (at) yonsei.ac.kr)

2015.10.20 MUFFINN website launched