Introduction to computational tools and databases used in the collection and analysis of sequence data and other analytical data from high-throughput molecular biology studies. Students will use existing tools, and learn the underlying algorithms and their limitations. Prerequisite: any 200-level Biological Sciences course or consent of instructor. Credit cannot be obtained for both BIOIN 301 and BIOL 501.
Discussion of computational tools and databases used in the analysis of data from high-throughput molecular biology studies. Students will use existing tools, learn the underlying algorithms and their limitations, and will be required to complete an individual research project. Prerequisite: consent of instructor. Credit cannot be obtained for both BIOIN 301 and BIOL 501.
Advanced topics in bioinformatics will be covered. A major part of the course will be devoted to team-based projects involving writing novel bioinformatics tools to deal with current problems in bioinformatics. Prerequisites: BIOIN 301, a 300-level CMPUT course and a 300-level GENET course. (Offered jointly by the Departments of Computing Science and Biological Sciences). [Biological Sciences].