Bioinformatics
Examine typical data, data analysis, and algorithms encountered in computational biology. Includes introductory probability and statistics, basics of programming, protein and nucleic acid sequence analysis, genome sequencing and assembly, synthetic biology, analysis of large-scale gene expression data, data clustering, biological pattern recognition, and biological networks. Biochemistry 339N and 364C may not both be counted. Three lecture hours a week for one semester.
Prerequisites & course information
Examine typical data, data analysis, and algorithms encountered in computational biology. Includes introductory probability and statistics, basics of programming, protein and nucleic acid sequence analysis, genome sequencing and assembly, synthetic biology, analysis of large-scale gene expression data, data clustering, biological pattern recognition, and biological networks. Biochemistry 339N and 364C may not both be counted. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027