Mark Borodovsky, Regents' Professor, Director Center for the Bioinformatics and Computational Genomics
Ph.D., Applied Mathematics, Moscow Institute of Physics and Technology, 1976
mark.borodovsky@biology.gatech.edu
Phone: (404) 894-8432
Fax: (404) 894-0519
Office: 301 at Cherry Emerson
Teaching
BIOL 7023, Bioinformatics, Fall 2004
Dr. Mark Borodovsky, Cherry Emerson Bldg., Room 301.
Office hours: MF 11-12am.
Office: 404-894-8432
Email: mark@amber.gatech.edu (preferable method)
Prerequisites: Modeling and Dynamics (MATH 6705); Computing Concepts for Bioinformatics (CS 4710); Introduction to Probability and Statistics (MATH 3215) or equivalents with instructor's permission; Introduction to Bioinformatics (BIOL 4048)
The courses listed above must be taken with a letter grade.
Recommended texts:
Durbin R., Eddy S., Krogh A., Mitcheson G. Biological sequence analysis.
Probabilistic models of proteins and nucleic acids. Cambridge University Press 1998.
Patthy L., Protein evolution. Blackwell Science, 1999.
Bioinformatics is the emerging field of science growing from the application of mathematics, statistics and information technology, including computers and theory surrounding them, to the study and analysis of the very large biological and particularly genetic data sets.
This course is devoted to mathematical models and computer algorithms of DNA and protein sequence analysis. Students will do software programming of the algorithms studied in the course in simplified settings as well as practice in using sequence analysis tools available either locally or on Internet.
Some lab time might be used for tests, student's presentations and additional lectures.
Grading rules:
Homeworks 15%
Tests 40% (20% each)
Lab projects 20%
Final exam 25%
Homework: Small group efforts are encouraged.
Policy on examinations: Open books, open notes