Bioinformatics Models and Algorithms

Covers bioinformatics models and algorithms: the use of computational techniques to convert the masses of information from biochemical experiments (DNA sequencing, DNA chips, and other high-throughput experimental methods) into useful information. Emphasis is on DNA and protein sequence alignment and analysis.

The Bioinformatics Models and Algorithms course is a graduate-level course in bioinformatics. It assumes that students have had 2 semesters of programming instruction, with enough biology and chemistry to take biochemistry, and an upper-division intro to probability class.