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Dec 26, 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): 401.
Comment(s): Helpful if students have taken or are taking BCMB 412. Registration without 401 co-requisites is possible with permission of instructor.
Registration Restriction(s): Minimum student level ― junior or graduate student.
Registration Permission: Consent of instructor.
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