Course: Mandatory Elective: Choose either 1A/1B OR 2)

This is an introductory level graduate course on fundamental computational techniques which have been successfully applied to key problems in bioinformatics. Particular problem areas of interest include sequence alignment and search, motif discovery, molecular structure prediction, phylogenetics, biomolecular interactions and cellular networks. We will cover various computational tools ranging from ones which are combinatorial in … Continue reading 1A: CPSC 445 (UBC)

This is an introductory level graduate course on fundamental computational techniques which have been successfully applied to key problems in bioinformatics. Particular problem areas of interest include sequence alignment and search, motif discovery, molecular structure prediction, phylogenetics, biomolecular interactions and cellular networks. We will cover various computational tools ranging from ones which are combinatorial in … Continue reading 1B: CMPT 771 (SFU)

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 … Continue reading 2) BIOF 540 (UBC)