BST 5446 - Bioinformatics and Biomedical Data Mining

(4 credits)

Introduction to basic concepts and statistical methods for analyzing large-scale biological data generated from emerging genomic and proteomic techniques. Some relevant biological background will be supplied to provide a context. Topics include types of data in molecular biology. DNA sequence analysis, microarray gene expression data analysis, sequences analysis and genome bioinformatics. Formerly BST 546.

Prerequisite(s): Student must meet prerequisites (STA 5002 and STA 5227).

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.