报告题目：Computational Studiesof Host-Pathogen Interactions– A case study of H.sapiens–M. tuberculosis system

报告人： 周胡峰 博士

报告时间：2016年1月6日（周三）10:00

报告地点：逸夫楼C座314会议室

摘要：Host--pathogenprotein-protein interaction (PPI) data are very important information forilluminating infection mechanisms and for developing better preventionmeasures. However, host--pathogen PPI data are very scarce in mosthost--pathogen systems. Computational prediction of host--pathogen PPIs is animportant strategy to fill in the gap. In this presentation, I systemicallyintroduced host--pathogen protein-protein interactions using the H. sapiens--M.tuberculosis H37Rv system as the model host--pathogen system.

报告人简介：周胡峰博士现任哈佛医学院(HarvardMedical School)和哈佛附属医院(Brigham and Woman's Hospital)讲师。目前的研究兴趣主要有以下两个方向：(i) 下一代测序的临床应用，包 括Whole Exome Sequencing(WES) and Whole Genome Sequencing data analysis (WGS) data analysis；(ii) 基于下一代测序技探索 EBV 病毒的导致癌症的机理和 EBV增强子的调控作用包括ChIP-Seq， RNA-seq， GRO-seq，HiC， ChIA-PET， 4C-seq，等等。此外,有多年的研究蛋白质互做和预测的Protein-Protein Interactions(PPI) 科研经历；Pathway 数据融合与分析经历；Human-Microbiome Metagenomic 经历；以及相关科研课题的软件以及数据库开发经验。