Topics in Computational Biology

Catalog description

Course for graduate students planning research in computational biology and genomics. Assigned readings will cover algorithms and data analysis techniques in computational biology. The course will include presentations and discussion of research problems involving computational analysis. Active group participation is required. Topics could include string algorithms, probability theory, multivariate statistics, molecular evolution, Markov Models, phylogenetic trees, and machine learning.