学　术

　　报告人：张智卓博士（美国麻省理工学院）

　　报告题目：Insight of Gene Regulation and Disease Mechanism from Epigenomics Roadmap

　　时　间：2016年3月11日（周五）10:30-11:30

　　地　点：清水河校区主楼B1-104会议室

　　主持人：徐增林教授

　　报告简介：

　　Each cell in your body has the same DNA, but they don’t all follow the same instructions. Some become blood cells; others become brain cells or muscle tissue. Cells decide which genes to turn on and which to turn off in different tissues using chemical markers on the DNA and its packaging, that is Epigenomics. Roadmap Epigenomics Program, a reference map of these modifications across a variety of human cells built by an international collaboration of scientists and researchers. In this talk, I will firstly give an overview of the resources of Roadmap Epigenomics Program, and then introduce several novel statistical methods developed in MIT Kellis lab to detangle the complex mechanism of gene regulation based on these sets of data. Finally, I will use two case studies to show how to apply the cell-type specific Epigenomics signal to dissect the underline mechanism of complex diseases.

　　报告人简介：

　　Dr. Zhizhuo Zhang received his Bachelor's of Science degree, in Compute Science from the South China University of Technology. He then shifted his academic focus towards bioinformatics and began his Ph.D. work in school of computing at the National University of Singapore under Prof. Ken Sung. Zhizhuo was awarded his Ph.D. and the recipient of Dean’s Graduate Research Excellence Award from National University of Singapore in 2013 and joined the MIT Prof. Manolis Kellis’ Lab as postdoc researcher in early 2014. 

　　He developed several novel motif analysis tools for ChIP-seq data, and first semi-definite programming method for 3D chromatin structure modeling Hi-C data.  His motif enrichment method has been recently adapted as one of standard for antibody validation in ENCODE consortium. His current research focuses on applying Bayesian modeling and deep learning approach in understanding the complex regulatory grammars across human cell types and the role of regulatory mutation in complex diseases.

　　Dr. Zhang published his works in both prestige bioinformatics conferences like RECOMB and high impact journals like Nature, Cell, Nucleic acid research etc.  He is also the co-lead of integrative analysis of NIH epigenomics roadmap project, and the core member of the lead analysis group in several big consortium projects including ENCODE, GTEX and ROS/MAP project.

　　　　　　　　　　　　　　　　　　计算机科学与工程学院

　　　　　　　　　　　　　　　　　　　　　2016.3.10