Skip to Main Content

BIOL.4050L Bioinformatics

Id: 041235 Credits Min: 4 Credits Max: 4


There is a growing need for bioinformaticians in research and industry as datasets are getting bigger and complex, making computational methods necessary for analysis. This hands-on course introduces principles, databases, software, and programming for the analysis and interpretation of molecular datasets. Emphasis is on practical assignments using computational approaches from a biologist's perspective. Topics include genome assembly, variant detection, comparative genomics and transcriptomics, metagenomics, as well as data retrieval from databases and basic programming using Bash and R. A term project and computer-based exercises are designed to showcase the capabilities and limitations of bioinformatics tools used in genome research, as well as to develop skills in coding literacy.


BIOL.2350 Genetics.

View Current Offerings