School of Computing > Research > Computational Biology

Computational Biology

Present-day biomedical researchers are confronted by vast amounts of data from genome sequencing; proteomics; microscopy; high-throughput analytical techniques for DNA, RNA, and proteins; and a host of other new experimental technologies. Coupled with advances in computing power, this flow of information enables scientists to computationally model and analyze biological systems in novel ways.

Accordingly, the Computational Biology Lab in SOC works towards fundamental advances in knowledge discovery, database management, combinatorial algorithms, and modeling and simulation, as well as in the applications of these technologies to problems in biology and medicine. Some of our research projects and activities are described below.

 


Computational Biology




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