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Shankar Subramaniam
University of California, San Diego
San Diego Supercomputer Center
shankar@sdsc.edu
http://www.sdsc.edu/~shankar

Bioinformatics - the Sine Qua Non of Post-genomic Biology and Medicine

The human genome project has produced a paradigm shift in research in biology and medicine. We are now in a position to decipher the rules and mechanisms of flow of information from the genome to physiology.

Biology research over the past several decades has resulted in painstaking accumulations of data through targeted single gene or protein experiments, postulation and validation of models through one-time experiments and generation of modular working concepts of the cell. The revolution in genome and high-throughput techniques in biology now enables a more systems approach to biology and mandate scalable approaches in experimental biology that generate large volume of data pertaining to integrated functioning of thousands of genes responsible for cellular action. Complementing the experimental approaches are the bioinformatics methods that can carry out high-throughput processing of myriad data that are "apparently" unrelated. Much of the tools needed for our understanding of the cell and the organism are currently not available. There is an imminent need in the bioinformatics community to be cognizant of the need to develop correlative tools that can account for the cell or organism as a system, yet link its functioning to genes and biochemical pathways. This talk will explore the challenge posed to the computing community by this task.

   
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