*****COURSES ARE SUBJECT TO CHANGE*****
Genomics databases: analysis of high-throughput genomics datasets; BLAST and related sequence comparison methods; pairwise alignment of biosequences by dynamic programming; statistical methods to discover common motifs in biosequences; multiple alignment and database search using motif models; constructing phylogenetic trees; hidden Markov models for finding genes, etc.; discriminative methods for analysis of bioinformatics data, neural networks, and support vector machines; locating genes and predicting gene function, including introduction to linkage analysis and disease association studies using SNPs; and modeling DNA and RNA structures. Prerequisite(s): course 205; concurrent enrollment in course 230L, 296, or 297 is required. Enrollment restricted to graduate students; undergraduates may enroll if they have completed course 205, Computer Science 101, and BIOC 100A. D. Haussler, T. Lowe, J. Stuart
While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.