The School of Informatics and Computing Center for Bioinformatics Research Talk
Speaker: Chi Zhang, PhD, Assistant Professor, Department of Medical and Molecular Genetics, Center for Computational Biology and Bioinformatics, Indiana University, School of Medicine
Where: Indiana Memorial Union (IMU), Walnut Room
When: Thursday April 13, 2017 03:00 PM
Topic: Linking cancer genomics landscape with transcriptomics alterations– a computational approach to predict functional impact caused by individual or collective effect of somatic mutations
Abstract: Current studies on the functional impact of cancer genomic mutations tend to be limited to cataloging the detected mutations by gene sequencing properties or predicted impact on corresponding protein functional domains, which is limited by the knowledge of protein functions and cannot characterize collective effect of multiple mutations. Here we develop a novel bi-clustering based computational framework to comprehensively predict the functional impacts led by specific individual and collective effect of somatic mutations by integrating transcriptomics and genomics mutation data. By applying the method on TCGA data, we have identified a series of novel mutation patterns with significant functional impacts and clinical associations that bring substantial understandings to the current genomics study of certain cancer types.
Biography: Dr. Chi Zhang has his bachelor degree in Mathematics from Peking University in 2010 and Ph.D. in Bioinformatics with a Statistics minor from the University of Georgia in 2015. In the summer of 2016, Dr. Chi Zhang joined the Center of Computational Biology and Bioinformatics and Department of Medical and Molecular Biology at Indiana University, School of Medicine. His research interests include computational modeling of cancer micro-environment by integrative analysis of cancer omics data and developing novel computational algorithm and pipelines to characterize the complexity of tissue level data.