Food Science 690STA - Genomic Approaches/Food Sci

This course will provide an applied introduction to bioinformatics, computational biology, and genomics. Topics covered include genome assembly, gene prediction, functional annotation, gene expression quantification, variant identification, amplicon sequencing, metagenomic analysis etc. Students will use the UMass UNITY high performance computing cluster during this course, and will learn a basic understanding of command line software in a LINUX environment. Students will undertake a research project using their own genomic data, or publicly available data. Examples in class will focus on food science related questions, but the concepts are transferable to any biological system.