CSCE 471/871: Introduction to Bioinformatics

Prereqs: CSCE 310 or CSCE 311; MATH/STAT 380.
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

Attention

This is the site for old bulletin data. Please head to UNL's Course Catalog for updated course and program information.