HST.508 | Fall 2002 | Graduate, Undergraduate

Genomics and Computational Biology

Course Description

This course will assess the relationships among sequence, structure, and function in complex biological networks as well as progress in realistic modeling of quantitative, comprehensive, functional genomics analyses. Exercises will include algorithmic, statistical, database, and simulation approaches and practical …
This course will assess the relationships among sequence, structure, and function in complex biological networks as well as progress in realistic modeling of quantitative, comprehensive, functional genomics analyses. Exercises will include algorithmic, statistical, database, and simulation approaches and practical applications to medicine, biotechnology, drug discovery, and genetic engineering. Future opportunities and current limitations will be critically addressed. In addition to the regular lecture sessions, supplementary sections are scheduled to address issues related to Perl, Mathematica and biology.
Learning Resource Types
Lecture Audio
Lecture Notes
Projects
A photo of fast-moving colored lights which appear to be spinning in a circle above a machine.
Next-generation DNA sequencing technology from University of California, Berkeley. (Image courtesy of the U.S. Department of Energy Genomes to Life Program.)