BOB CHAN


Home Department
Information and Computer Science

Thesis Advisor
Dennis Kibler- Information and Computer Science

Co-thesis Advisor
Lawrence Marsh - Biological Chemistry, College of Medicine

Email


Eukaryotic organisms use complex regulatory modules consisting of multiple regulatory sites to control gene expression. Bob Chan is developing methods to detect these regulatory modules using statistical analysis of genomic sequence data, particularly Drosophila melanogaster. He hopes to extend theses analysis to Caenorhabditis elegans in the future.

Publications

Long AD, Mangalam Hj, Chan BY, Tolleri L, Hatfield GW, Baldi P.Improved statistical inference from DNA microarray data using analysis of variance and a Bayesian statistical framework: Analysis of global gene expression in Escherichia coli K12. J Biol CHem 2001. Jun 8;276(23):19937-44

Consistency analysis of similarity between multiple alignments: prediction of protein function and fold structure from analysis of local sequence motifs. Kunin V, Chan BY, Sitbon E, Lithwick G, Pietrokovski S. J Mol Biol 2001. Mar 30;307(3):939-49

Malik R, Lee SK, Savard CE, Oda D, Wong WS, Chan BY, Lee SP. The effect of N-methyl-N’=nitro- N-nitrosoguanidine on cultured dog gallbladder epithelial cells. Hepatology 1997 Nov 26(5):1296-1302.