Molecular & Computational Biology, Mathematics, Biological Sciences
College of Letters Arts & Sciences
Research TopicsComputational Biology
Research OverviewI have been using computational approaches to study molecular sequence data. Currently the sequence databases double in size every two years, and new developments in sequencing technology could accelerate this rate of growth. The importance of computational methods to molecular biology is certainly growing proportionally.
Part of my work has been to develop relevant and rigorous algorithms to compare and analyze nucleic acid and protein sequences. I was the first to introduce multiple gap weights to alignment algorithms and am co-developer of the Smith-Waterman algorithm. I am now studying the effects of different weighting schemes such as the Dayhoff matrix on the resulting optimal alignments. Also I have been studying the expected progress of physical mapping experiments which depends on the cloning vector, the fingerprinting scheme, etc.