Evolution and Interpretation of Cancer Genomes
Cancer is an evolutionary process driven by somatic mutations that accumulate in a population of cells that form a tumor. In the past few years, high-throughput DNA sequencing technologies have enabled the measurement of these mutations across thousands of individual tumors. Despite this wealth of data, our understanding of the cancer mutational landscape remains incomplete. I will describe computational approaches to address key analytical challenges in translating measurements of somatic mutations into deeper insights about the processes that drive cancer development.
Ben Raphael is a Professor of Computer Science at Princeton University. He received his Ph.D. in Mathematics from University of California, San Diego, and then began research in computational biology and bioinformatics as a postdoctoral fellow. From 2006-2016, he was an Assistant and Associate Professor of Computer Science at Brown University, and from 2013-2016 was also the Director of the Center for Computational Molecular Biology (CCMB).