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Apr 30, 2024
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BIO 182: Bioinformatics
Units: 4
Detailed introduction to bioinformatics, including reproducibility in scientific computing, elements of data science and machine learning models, nonparametric and Bayesian approaches to statistical inference, analysis of frequencies and compositions, models of molecular evolution, BLAST theory, alignment and motif-finding algorithms, distance-based methods, linear modeling and error control for high-throughput omics experiments. This is an R/RStudio- and UNIX-command-line-based course that also teaches some coding skills in Python and Perl. Previous programming experience not assumed or required.
Course Details
Repeats Allowed for Credit: 0
Discussion and Laboratory included
Normal Letter Grade only
GE Requirements - Badge: Ethics
- Badge: Quantitative and Numerical Analysis
- Badge: Scientific Method
Requisites and Restrictions
Prerequisite Courses: BIO 018 or MATH 018 or MATH 032 or PSY 010 or ECON 010 or equivalent exam
Prerequisite Courses with Concurrent Option: BIO 140
Instructor Permission Required: No
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