From the Ising Model to Biological Sequence Analysis

Professor Ralf Bundschuh, Ohio State University

The life sciences accumulate an enormous amount of biological sequence information. e.g., GenBank, the central repository, currently holds about 90 billion bases and is growing exponentially with a doubling time shorter than the doubling time of computer power in Moore's law. In the talk, I will use a concrete biological phenomenon, namely RNA editing, to showcase how methods from Statistical Physics are exquisitely suited to analyze and make sense of this plethora of sequence information.

Date:  Thursday, May 8, 2008
Engineering Bldg, Unit 2, Room 138
Time: 3:45 PM
Coffee served in the Physics Bldg. - Barkas Lounge @ 3:10 PM