Uwe Ohler's Research Group
Courses
CBB 231/CPS 261- COMP BIO GENE REGULATION
Uwe Ohler M-W 2:50pm – 4:05pm
Application of machine learning to problems in computational molecular biology. Focus on cukaryotic genes and gene regulation, and on probabilistic approaches, e.g. Hidden Markov models. Detection of coding and non-coding genes; RNA structure prediction; Models for regulatory elements and regions, including post-transcriptional gene regulation; Comparative Genomics; Regulatory Networks. Lectures and discussions of primary literature. Problem sets focusing on practical aspects and algorithm implementation. Prerequisites: basic probability theory and statistics (STA 213 or equiv.), basic molecular biology (BIO 118 or equiv.), basic knowledge of program design and implementation. Alternatively, consent of instructor.