A survey of computational methods for knowledge discovery in bioinformatics and medicine. Topics covered are Dynamic Programming (sequence alignment, BLAST search engine), Hidden Markov Models (phylogenetic trees, structure prediction), clustering and discriminations models for micro-array analysis (Gene Expression Data), selected data mining software, and working with biological databases. Prerequisite: CS 500 or equivalent. Three credits.
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