CS 4520: Introduction to BioinformaticsCross-Listing: None Overview of the goals, tools and techniques used in bioinformatics, a field that applies ideas from computer science, mathematical modeling, and statistics in order to make sense of the huge datasets that typify modern biology. Topics include a brief introduction to molecular biology, DNA sequencing, sequence alignment and multiple alignment, similarity searches and their statistics, phylogeny, gene regulation and motif finding, gene finding, and genome rearrangements. Much of the course is devoted to an in-depth study of the algorithms behind popular computational tools such as Smith-Waterman, BLAST, CLUSTALW, Genscan and MEME. Offered: Fall only Prerequisites: CS/EngrD 2110, CS 2800. Grade options: Letter or S/U Credit hours: 4 Recent offerings:
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