Prerequisites: BIOL 102, STAT 231B; or consent of instructor
Description: Examines statistical methods of genome analysis. Topics include screening for genetic markers, linkage analysis, linkage disequilibrium, and mapping genes for complex diseases and quantitative traits. Covers statistical techniques including analysis of least squares and maximum likelihood, Bayesian analysis, and Markov chain Monte Carlo algorithm.
Cross-listing: Cross-listed with GEN 234.
Referenced in
- BIOMEDICAL SCIENCES GRADUATE PROGRAM — Master’s Degree
- BOTANY AND PLANT SCIENCES — Master’s Degree
- BOTANY AND PLANT SCIENCES — Doctoral Degree
- GENETICS, GENOMICS, AND BIOINFORMATICS — Doctoral Degree
- MECHANISMS OF GENE EXPRESSION AND REGULATION STUDIES DESIGNATED EMPHASIS — Designated Emphasis Requirements