ICS 476: Bioinformatics Algorithms and Tool Development

Description: Study of commonly used bioinformatic algorithms, with an emphasis on string, tree, and graph algorithms. Presentation of probabilistic and clustering methods. Implementation of the studied algorithms and design of applications.


Course Learning Outcomes: See objectives.

Program Learning Outcomes

Prerequisites: 475 or consent.

Textbook(s): Jones, N.C. and Pevzner P.A. An Introduction to Bioinformatics Algorithms MIT Press

Grading: Programming assignment: 30% Class participation: 10% Midterm exam: 30% Final Exam : 30%