2008 Spring Term / Subjects ( ) / COMPSCI Classes ( ) / COMPSCI 261 COMPSCI 261 - COMP BIO GENE REGULATION Provides a systematic introduction to algorithmic and computational issues present in the analysis of biological sequences: DNA, RNA, and protein. Emphasizes probabilistic approaches and machine learning methods, e.g. Hidden Markov models. Explores applications in genome sequence assembly, protein and DNA homology detection, gene and promoter finding, motif identification, models, of regulatory regions, comparative genomics and phylogenetics, RNA structure prediction, post-transcriptional regulation. Lecture and discussions of primary literature. Prerequisites: basic knowledge of algorithm design (CPS 230 or equiv), probability and statistics (STA 213 or equiv), molecular biology (BIO 118 or equiv), and computer programming. Alternatively, consent of instructor. Instructor: Ohler or Hartemink E/C Meeting Time (Location) Instructor 01 LEC 3/10 M W 2:50 PM-4:05 PM (North Bldg 100) Crosslisted as: CBB 231 Ohler,Uwe Synopsis