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3810. Computational Genomics

Also offered as: CSE 3810

3.00 credits

Prerequisites: BIOL 1107; CSE 1010 or 1100 or 1729; STAT 3025 or 3345; open only to students in the School of Engineering and declared Computer Science minors.

Grading Basis: Graded

Computational methods for genomic data analysis. Topics covered include statistical modeling of biological sequences, probabilistic models of DNA and protein evolution, expectation maximization and Gibbs sampling algorithms, genomic sequence variation, and applications in genomics and genetic epidemiology.

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