The computational biology laboratory in the School of Computer Science and Engineering consists
of several faculty members and students.
Research in the lab applies methods from machine learning, theory of computer science,
combinatorial optimization,
information theory and applied statistics for a wide range of problems in computational
molecular biology.
This includes analysis, clustering, and classification of DNA and protein
sequences; analysis of gene expression patterns for uncovering regulatory pathways, and for
relating phenotype to mRNA expression; phylogentic inference; understanding protein-protein and
protein-DNA interactions.
