Computational Tools for Genomic Technologies

3 credits · College of Engineering catalogue

Advisory Prerequisite: None. Enforced Prerequisite: Graduate standing. (3 credits) Understanding how to read sequencing datasets is crucial for researchers seeking to glean insights into their own experiments, and to generate data-driven hypotheses. The overarching goal of this class is to develop an understanding of foundational methods in bioinformatics to enable engineering students to process, contextualize and visualize basic high-throughput sequencing experiments with a focus on RNA and gene expression. Undergraduates may enroll with instructor permission.