报告题目：Insight of GeneRegulation and Disease Mechanism from Epigenomics Roadmap
报告人： 张智卓 博士（麻省理工大学）
报告时间：2016年3月8日（周二）10:00
报告地点：逸夫楼C座314会议室
摘要：Each cell in your body has the same DNA, but they don’tall follow the same instructions. Some become blood cells; others become braincells or muscle tissue. Cells decide which genes to turn on and which to turnoff in different tissues using chemical markers on the DNA and its packaging, thatis Epigenomics. Roadmap Epigenomics Program, a reference map of thesemodifications across a variety of human cells built by an internationalcollaboration of scientists and researchers. In this talk, I will firstly givean overview of the resources of Roadmap Epigenomics Program, and then introduceseveral novel statistical methods developed in MIT Kellis lab to detangle thecomplex mechanism of gene regulation based on these sets of data. Finally, Iwill use two case studies to show how to apply the cell-type specificEpigenomics 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 Sciencefrom the South China University of Technology. He then shifted his academicfocus towards bioinformatics and began his Ph.D. work in school of computing atthe National University of Singapore under Prof. Ken Sung. Zhizhuo was awardedhis Ph.D. and the recipient of Dean’s Graduate Research Excellence Award from NationalUniversity 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 forChIP-seq data, and first semi-definite programming method for 3D chromatinstructure modeling Hi-C data. His motifenrichment method has been recently adapted as one of standard for antibodyvalidation in ENCODE consortium. His current research focuses on applying Bayesianmodeling and deep learning approach in understanding the complex regulatorygrammars across human cell types and the role of regulatory mutation in complexdiseases.
Dr. Zhang published his works in both prestigebioinformatics conferences like RECOMB and high impact journals like Nature,Cell, Nucleic acid research etc. He isalso the co-lead of integrative analysis of NIH epigenomics roadmap project,and the core member of the lead analysis group in several big consortiumprojects including ENCODE, GTEX and ROS/MAP project.