Biomedical Engineering

Identifying cancer driver mutations and genes from cancer big data

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Speaker: 

Zhongming Zhao, Ph.D.

Date: 

Friday, September 8, 2017 - 12:00pm to 1:00pm

Location: 

SEC 204

Abstract: 

Currently, how to effectively identify driver mutations and genes in cancer genomes, especially those with the potential for druggable targets for the development of molecularly targeted cancer therapies, remains a major challenge. In this talk, I will first review the computational methods and tools that were recently developed to meet the strong demand on mining cancer big data. Then, I will present some informatics approaches for identifying cancer mutations and genes from large amount of somatic mutation data. In the last part, I will introduce our integrative network-based framework for identifying new druggable targets and anticancer indications from existing drugs.