20 CS 786: Computational Genomics

Course Number	20 CS 786
Credit Hours	3 Graduate
Catalog Data	Computational problems and algorithms in genome analysis.
Textbooks	Durbin, Biological Sequence Analysis, Cambridge, 1998.
References	Current Articles
Prerequisites by Topic	1. 20-CS-471, 671 or 20-CS-332, Design and Analysis of Algorithms 2. Programming
Goals	To expose the student to computational problems and current solutions in genome research.
Topics	1. Molecular biology basics 2. Sequence alignment 3. Clustering 4. Search for motifs 5. Machine learning methods 6. Graph-theoretic methods 7. Current software survey
Computer Usage	The Internet and computers are used for data retrieval and analysis.
Labs	1. Binding sites analysis 2. Expression data clustering 3. Protein structure prediction
Estimated ABET	Engineering Science: 1.8 credits or 60 Engineering Design: 1.2 credits or 40%
Prepared By	Yizong Cheng., Ph.D. on 2002/09/01