BMI 659 Genetics for Computational Biologists

Credits: 3
This course is designed for students with a mathematical/computational background needing an in-depth discussion of the genetic concepts underlying current experimental methods. Emphasis will be given to the genomic level techniques, data representations and the integration of the data types with the biology. Prior molecular biology or genetic knowledge is not needed or assumed. The foundation and principles of molecular genetics and population genetics will be presented in the context of data intensive techniques used to study genetic problems. The course will also address challenges that are faced in computational genetics by the need for standardization of data capture and communication, organization of easily accessible repositories, and algorithms for integrated analysis based on heterogeneous sources of information. There is a central emphasis throughout the course on scientific communication with regard to presenting results, public education and outreach.

Graded: A-F
May be taken only once for credit
Also offered as: BMI 559