Posted March 1, 2017 In a study published in PLoS Computational Biology, researchers at Institute for Systems Biology (ISB) have developed a multiscale mutation clustering algorithm (M2C) that identifies variable length regions with high mutation density in cancer genes. The M2C algorithm was developed by William Poole (first author on the paper), who started as a summer intern in 2013 as part of ISB’s Center for Systems Biology internship program….
3 Bullets: ‘Big data’ cancer research has revealed a new spectrum of genetic mutations across tumors that need understanding. Existing methods for analyzing DNA defects in cancer are blind to how those mutations actually behave. ISB scientists developed a new approach using physics- and structure-based modeling to systematically assess the spectrum of mutations that arise in several gene regulatory proteins in cancer. By Jake Valenzuela and Justin Ashworth A significant…
