Insuk Lee is an Associate Professor of Department of Biotechnology at Yonsei University. He obtained his Ph.D. from the University of Texas at Austin in 2002, and conducted postdoctoral research under EM Marcotte at Center for Systems and Synthetic Biology, University of Texas at Austin. Currently his research focuses on big biological data mining, integrative gene network modeling, and systems genetics. He is the developer of a series of gene-network analysis platforms such as AraNet, WormNet and HumanNet and spearheads the field of omics-data integration.
Googling Biology using Gene Networks
(Dai-ichi Tsuru, Jun 26th, 08:40)
Data-driven discovery is the new paradigm in science and technology, and one started to realize that utilizing data is much more challenging than generating data in various research fields. Biological science is not an exception. Therefore, unless we make dramatic improvement in data analysis technology, the massive amount of biological data will be burdens rather than new opportunities in the future. In this presentation, I want to introduce the network-assisted discovery pipeline in biological research, mimicking Google that effectively retrieves desired information from the internet based on building a network of documents and PageRank algorithm for document prioritization. We have constructed genome-scale gene networks for various organisms, from microbe to animal and plants. The gene networks could be utilized in many different ways to generate various types of biological hypotheses, for examples, gene function, domain function, gene-to-phenotype association, genetic interactions, gene set association, pathway-to-phenotype association.
Department of Biotechnology, Yonsei University, Korea