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Dec 01, 2024
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BCMB 422 - Computational Biology and Bioinformatics3 Credit Hours An introduction to the cutting-edge tools and approaches biologists and clinicians use to extract information from the vast amounts of genomic and proteomic data becoming available. Students gain hands-on experience with computational biology tools such as data mining, protein structure manipulation and prediction, interaction network analysis, DNA sequence analysis, gene function analysis, R studio for statistics and data visualization, and dimensionality reduction for large datasets. Students apply these tools to biomedical research questions in course projects.
Contact Hour Distribution: 2 hours lecture and 2 hours lab. (RE) Corequisite(s): BCMB 401 . Comment(s): Helpful if students have taken or are taking BCMB 412 . Registration without BCMB 401 corequisites is possible with permission of instructor. Registration Restriction(s): Minimum student level – junior. Registration Permission: Consent of instructor.
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