報告題目:  Data integration across omics landscapes
報  告  人:  Dr. Bing Zhang, Vanderbilt University, USA
報告時間: 2011年10月18日上午9:30-10:30
報告地點：EON体育4平台1號樓105會議室
組織單位：生物統計學與生物信息學系

摘要:
Advancements in high-throughput omics technologies have provided an unprecedented opportunity for biology and biomedical studies. At the same time, advanced technologies have led to an increasing gap between data generation and investigators’ ability to interpret the data. To enable biologically meaningful and efficient analysis of these high-throughput data, we develop data integration approaches around basic molecular and systems biology principles. Specifically, we exploit the information flow from DNA to RNA to protein as defined by the central dogma of molecular biology and the interactions between molecules as defined by network biology to facilitate data integration. In this talk, I will give examples on the application of these approaches to protein identification in shotgun proteomics studies and multidimensional omics data integration in cancer studies.

報告人介紹:

Dr. Zhang received his Ph.D. in molecular genetics from the Shanghai Institute of Plant Physiology, Chinese Academy of Sciences. His postdoctoral research at the University of Tennessee, Knoxville and Oak Ridge National Laboratory focused on bioinformatics and functional genomics. He joined the Department of Biomedical Informatics, Vanderbilt University as an assistant professor since June 2006.

Dr. Zhang's current research interests include systems biology and its application on human cancer studies, gene expression and regulation, and knowledge-guided omics data analysis and interpretation. The long-term goal of the Zhang Lab is to develop systems biology approaches to disease mechanisms, diagnosis, prevention, and therapy.
Shan Cong, Assistant
Department of Bioinformatics and Biostatistics
College of Life Science and Biotechnology
Room 4-323A, Life Science Building
Shanghai Jiaotong University
800 Dongchuan Road, Shanghai, 200240 China
Tel: +86-21-3420-4573
Fax: +86-21-3420-4573
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