Center for Computational Biology and Koret Berkeley Tel Aviv Initiative Seminar: Dr. Ron Shamir, Professor, Tel Aviv University

Seminar | February 14 | 4-5 p.m. | 125 Li Ka Shing Center

 Center for Computational Biology, Koret Berkeley Tel Aviv Initiative

Integrated analysis of cancer data: multi-omic clustering and personalized ranking of driver genes

Abstract: Large biological datasets are currently available, and their analysis has applications to basic science and medicine. While inquiry of each dataset separately often provides insights, integrative analysis may reveal more holistic, systems-level findings. We demonstrate the power of integrated analysis in cancer on two levels: (1) in analysis of one omic in many cancer types together, and (2) in analysis of multiple omics for the same cancer. In both levels we develop novel methods and observe a clear advantage to integration. We also describe a novel method for identifying and ranking driver genes in an individual's tumor and demonstrate its advantage over prior art.

Biography: Ron Shamir received his PhD from UC Berkeley. He is a Sackler professor of Bioinformatics in the Blavatnik School of Computer Science at Tel Aviv University (TAU). His group develops algorithms in bioinformatics for understanding the genome and human disease. Software tools developed by Shamir’s group are in use around the world. Shamir is the founder and head of the Edmond J. Safra Center for Bioinformatics at TAU. He has published about 300 scientific works, including 17 books and edited volumes, and has supervised more than 50 research students. He was on the founding steering committee of RECOMB, co-founded the Israeli Society of Bioinformatics and Computational Biology, and was society president. He is a recipient of the Landau Prize in Bioinformatics, the Kadar family prize for excellence in research, and a Fellow of the ISCB and the ACM.

 Light refreshments will be provided at reception from 3:30pm-4:00pm, 125 LKS foyer.

 ccbadmin@berkeley.edu