生物信息平台讲座

主题：Modeling Gene Regulation with Genomic Data Integration

主讲人：臧充之

Chongzhi Zang, PhD
Dana-Farber Cancer Institute, Harvard University
University of Virginia

时间：2016年6月8日13:00-14:30

地点：英国威廉希尔公司王克桢311会议室

主持人：李程研究员

联系人：张超（zhangchao3@hotmail.com）

讲座摘要：

Cis-regulation of gene expression is an essential aspect of molecular biology that underlies developmental processes and disease etiology. Several genomic techniques, including ChIP-seq, DNase-seq and ATAC-seq have been developed to experimentally identify cis-regulatory regions genome-wide. We develop Model-based Analysis of Regulation of Gene Expression (MARGE), a computational method to predict cis-regulatory profiles and elements to interpret differential expression gene sets by leveraging a compendium of over a thousand public H3K27ac ChIP-seq datasets in human and mouse. MARGE defines a regulatory potential score for each gene by summarizing nearby H3K27ac ChIP-seq signals, uses logistic regression to retrieve relevant public H3K27ac profiles that accurately model gene sets of interest, and adopts a novel semi-supervised learning approach to identify the cis-regulatory elements regulating these genes. This methodology demonstrates the advantage of integrating a large compendium of publicly available data for the genomic studies of transcriptional regulation.

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