This course will cover quantitative problems arising from current research. We focus on areas in which a statistical approach provides a powerful tool for separating signal from noise. Students will learn to translate genomic research questions into well-defined computational problems. Solutions and algorithms are found which are both theoretically sound and practical to implement. Selected topics: gene expression analysis, analysis of tissue and protein arrays, sequence alignment and comparison, Hidden Markov Models.

Course Details

If you have already taken any of these courses as an undergraduate or have taken equivalent material at another University, you are not required to repeat the material, rather choose an additional elective to make up the course requirements for your degree program.

Electives – Please browse the UBC and SFU courses to complete your other elective requirements.