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Follow on Google News | NGS Data Management and Interpretation to be part of Bio-IT World Asia ConferenceDedicated conference program on NGS Data Management and Interpretation
By: Bio-IT World The NGS Data Management and Interpretation program includes: Next-Generation Sequencing Based Approach toward Cellular Transcriptional Network Yoshihide Hayashizaki, M.D., Ph.D., Director, RIKEN Omics Science Center Identifying the Functional Consequences of Genetic Variation in Human Regulatory Genes Rohan Williams, Ph.D., Principal Investigator and Deputy Cluster Leader, Singapore Centre on Environmental Life Sciences Engineering NGS Transcript Variation in Dendritic Cell Subsets in Response to Viral Infection Michael Poidinger, Ph.D., Principal Investigator, Bioinformatics, Singapore Immunology Network Decoding Epigenetics Regulation of Non-Coding RNAs in Male Germ Cell Tumors Tin-Lap Lee, Ph.D., Associate Professor, Reproduction, Development and Endocrinology Program, School of Biomedical Sciences, The Chinese University of Hong Kong KEYNOTE SESSION: System Analysis of Complex Bacterial Communities Peter Little, Ph.D., Professor, Associate Director, Singapore Centre on Life Sciences Engineering; KEYNOTE PANEL: Next-Gen Data Trends Moderator: Kevin Davies, Ph.D., Editor-in-Chief, Bio-IT World Panelists: Peter Little, Ph.D., Director, Life Sciences Institute; National University of Singapore Yoshihide Hayashizaki, M.D., Ph.D., Director, RIKEN Omics Science Center Seong-Jin Kim, Ph.D., President, CHA Research Institutes; Director, CHA Cancer Institute; Distinguished Professor, CHA University Bioinformatics Software for Large-Scale Sequence Alignment and de novo Genome Assembly Ruiqiang Li, Founder, Novogene Co. Ltd.; Principle Investigator, Biodynamic Optical Imaging Center and Peking-Tsinghua Joint Center for Life Sciences, Peking University The Korean Genome Project Using NGS and Genome Engine Informatics Pipeline Jong Bhak, Ph.D., Director, Personal Genomics Institute, South Korea A Large-Scale Public Reference Set of Complete Human Genome Sequences for Biological Interpretation of Human Genomes Richard Tearle, Ph.D., Senior Field Applications Scientist, Complete Genomics, Inc. A Cloud Infrastructure for Comparative Human Genomics – from Onco- to Pan-Genomes Stephen Rudd, Ph.D., Adjunct Professor & CSO, Malaysian Genomics Resource Centre Bioinformatic Tools and Analyses for Medical Genomics Pauline Ng, Ph.D., Group Leader, Mathematical & Computational Biology, Genome Institute of Singapore Impact of DNA Structural Variation and Epigenetic Modulation of Enhancers on Gene Regulation Touati Benoukraf, Ph.D., Research Fellow, Cancer Science Institute Singapore, National University of Singapore The Future of Epidemiology is Genomic: Sequence, Report to a Central Database and Receive Results and Analysis Laurent Gautier, Ph.D., Head, Core Facility, Senior Researcher, Department of Systems Biology, Technical University of Denmark The Bio-IT World Asia 2012 Conference will bring together, life sciences, pharmaceutical, informatics and IT professionals from all over Asia and the rest of the world to one unique location. The Event provides the perfect venue to share information and discuss enabling technologies that are driving biomedical research and the drug development process. For more information, visit: http://www.Bio- About Bio-IT World Events (www.events.bio- Since its debut in 2002, the annual Bio-IT World Conference & Expo, held each Spring in Boston, has established itself as a premier event showcasing the myriad applications of IT and informatics to biomedical research and the drug discovery enterprise. Over 2,000 delegates representing 30 countries have gathered yearly to attend 125+ technology and scientific presentations and view an expansive exhibit hall of 100+ companies. Bio-IT World Conference continues its exceptional series of educational programming with the announcement of the Inaugural Bio-IT World Conference Asia. # # # Bio-IT World focuses on the tools and results of predictive biology, drug discovery, informatics, clinical trials, and personalized medicine as well as the strategic decisions made by companies in this area and the impact on the company’s performance. End
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