chibi828/datastream... · chibi. the center for health informatics & bioinformatics. would like...

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CHIBI The Center for Health Informatics & Bioinformatics would like to invite you to a Research Seminar Systems Biology and Next Generation Sequencing Approaches to Studying Complex Disease Abstract: Genome-wide association studies (GWAS) have become a popular approach to search for common genetic variants with susceptibility to complex diseases or traits. Recently, pathway- or network-based analysis of GWAS datasets has emerged as an alternative but potentially powerful search approach for disease causal genes, assuming a complex disease may have resulted from a number of genes that disrupt one or more pathways or protein complexes. This talk covers our recently developed dense module search of genetic signals from GWAS dataset(s) in protein-protein interaction network. In the second part, I will present some next generation sequencing projects, aiming to uncover disease-related genes or markers, and their underlying molecular mechanisms. Presented by: Zhongming Zhao, Ph.D., M.S. Chief Bioinformatics Officer, Vanderbilt-Ingram Cancer Center (VICC) Director, Bioinformatics Resource Center, VICC Associate Director, Vanderbilt Center for Quantitative Sciences Director, Bioinformatics and Systems Medicine Laboratory Ingram Associate Professor of Cancer Research Associate Professor, Departments of Biomedical Informatics, Psychiatry, and Cancer Biology Vanderbilt University Medical Center Thursday October 25th 11AM-12:30PM Smilow Seminar Room

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Page 1: CHIBI828/datastream... · CHIBI. The Center for Health Informatics & Bioinformatics. would like to invite you to a Research Seminar. Systems Biology and Next Generation Sequencing

CHIBIThe Center for Health Informatics & Bioinformatics

would like to invite you to a Research Seminar

Systems Biology and Next Generation Sequencing Approaches to Studying Complex Disease

Abstract: Genome-wide association studies (GWAS) have become a popular approach to search for common genetic variants with susceptibility to complex diseases or traits. Recently, pathway- or network-based analysis of GWAS datasets has emerged as an alternative but potentially powerful search approach for disease causal genes, assuming a complex disease may have resulted from a number of genes that disrupt one or more pathways or protein complexes. This talk covers our recently developed dense module search of genetic signals from GWAS dataset(s) in protein-protein interaction network. In the second part, I will present some next generation sequencing projects, aiming to uncover disease-related genes or markers, and their underlying molecular mechanisms.

Presented by:Zhongming Zhao, Ph.D., M.S.Chief Bioinformatics Officer, Vanderbilt-Ingram Cancer Center (VICC)Director, Bioinformatics Resource Center, VICCAssociate Director, Vanderbilt Center for Quantitative SciencesDirector, Bioinformatics and Systems Medicine LaboratoryIngram Associate Professor of Cancer ResearchAssociate Professor, Departments of Biomedical Informatics, Psychiatry, and Cancer BiologyVanderbilt University Medical Center

Thursday October 25th11AM-12:30PM

Smilow Seminar Room