BIOL 136L KS - Population Genomics

Population Genomics applies large-scale genomic technologies in natural populations towards understanding evolution, demography, and health. With the advent of next-generation sequencing technologies, entire genomes can be sequenced with ease. The size of these datasets presents new opportunities for richer analyses of biological phenomena. However, the sheer volume of the datasets requires an understanding of data science to perform even simple analyses. Students will gain an in-depth introduction to concepts in population genomics, as well as apply analytical and statistical methods towards problem-solving in population genomics. Population Genomics will have lectures, as well as computational labs conducted in R. This course is an upper-level biology lab course that counts towards the biology major and/or can serve as a data science capstone course. Course prerequisite: BIOL043L KS, BIOL044L KS, or equivalent. Previous experience in R, Python, or another programming language is recommended.

Course Credit: 1.0

Please refer to the course schedule on the Scripps Portal for current course offerings and details.