Bioinformatics and Functional Genomics

Catalog description

This course covers a large spectrum of computational biology, and teaches students the foundations of bioinformatics, genomics, molecular evolution, and machine learning. Topics include: introduction to UNIX systems and commands, multiple sequence alignments and phylogenetics, next generation sequencing and gene expression analysis, and basic concepts of machine learning, such as sensitivity, specificity and ROC curve. Optimization and classification strategies such as principal component analysis will also be covered. Prerequisite Course(s): Prerequisites: BIOL 233, BIOL 250 Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3