William U. Meyerson

The paper develops a custom ENCODE annotation for cancer genomics, highlighting TF-RBP interactions and network rewiring during oncogenesis, and validates findings using experimental assays.

The paper quantifies shared single nucleotide variants between somatic and germline mutation databases, finds excess sharing, and explains it through mutation rate correlations and contamination.

The paper analyzes 2500 cancer genomes to assess the molecular functional impact of mutations, finding that some putative passenger variants may influence gene activity and contribute to cancer phenotypes.