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.
The San Diego Supercomputer
Center (SDSC) is a research unit of the University of California,
San Diego, and the leading-edge site of the National Partnership for
Advanced Computational Infrastructure. SDSC researchers conduct studies
in computational science, develop high-performance computing and networking
technologies, and participate in NPACI activities.