Introduction to Bioinformatics Laboratory

Catalog description

This laboratory course in Bioinformatics will focus primarily on three types of large datasets available in biology: macromolecular structures, genome sequences, and the results of functional genomics experiments such as gene expression data. Students will learn and apply computational techniques including sequence and structural alignment, database design and data mining, phylogenetic tree construction, prediction of protein structure and function, gene finding, and expression data clustering. Students will also learn the theory that underlies basic bioinformatics methods. Prerequisite(s): A BIO 201, A BIO 202Z, A BIO 212Y. Course fee applies. Consult the Schedule of Classes.