Course Overview
The course will cover genomics databases analysis of high-throughput genomics databases; 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 an introduction to linkage analysis and disease association studies using SNPs; and modeling DNA and RNA structures.