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.
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].
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.