CSCE 471/871: Introduction to Bioinformatics

Prereqs: A grade of "P" or "C" or better in CSCE 310, CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.
Fundamentals and trends in bioinformatics. Scoring matrices and pairwise sequence alignments via dynamic programming, BLAST, and other heuristics. Multiple sequence alignments. Applications of machine learning methods such as hidden Markov models and support vector machines to biological problems such as family modeling and phylogeny.
This course is a prerequisite for: CSCE 971
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom