Students are challenged to think critically about genome-scale data and to think creatively about how to best design and utilize powerful computational tools in their analyses. They learn how to work with large nucleic acid data sets and draw meaningful conclusions that can be applied in modern research, medicine, and industrial settings. Students explore fundamental concepts behind genomic and transcriptomic analyses and design and execute genomic and transcriptomic analyses of real datasets. This course prepares students for future work designing and creating original analyses of novel genomes and transcriptomes, and provides the foundation for diverse bioinformatics applications, such as personalized medicine, bioremediation assessment, industrial quality control, and even forensic science.

Priority registration in this course is offered to students admitted to the Bachelor of Science in Bioinformatics.

Prerequisite(s): A minimum "C" grade in BIOL 3315, 3430, and CPSC 3280.