American Statistical Association
Many mutations in cancer are of unknown functional significance. Computational and statistical methods are developed to assess significantly mutated genes and hotspots. We extend such analyses into the long tail of rare mutations by considering recurrence of mutations in clusters of spatially close residues in protein structures. By applying to large-scale cancer genomics data, we identified many rare mutations as potentially functional and experimentally validated several in RAC1 and MAP2K1/MEK1. We are also working on using molecular dynamics simulation to analyze the influences of mutations on the protein structure of MEK1 and some preliminary results will be presented.
|Date:||Wednesday, January 24, 2018|
|Time:||4:00 - 5:00 P.M.|
Memorial Sloan Kettering Cancer Center
Department of Epidemiology and Biostatistics
485 Lexington Avenue
(Between 46th & 47th Streets)
Conference Room B (2nd Floor)
New York, New York
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