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 Syllabus for CSE527: Computational Biology
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CSE527: Computational Biology

Credits
3
Catalog description
Introduces computational methods for understanding biological systems at the molecular level. Problem areas such as mapping and sequencing, sequence analysis, structure prediction, phylogenic inference, regulatory analysis. Techniques such as dynamic programming, Markov models, expectation-maximization, local search.
Prerequisites
graduate standing in biological, computer, mathematical or statistical science, or permission of instructor.
Textbook(s) and/or other required material
none
Course objectives
none
Topics covered
none
Course structure
none
Last edited by
none
Last modified
(never)


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