1415 Engineering Dr, 3639 Engineering Hall
Systems biology utilizes both experimental and computational approaches to study biological networks at a systems or whole network level, in order to understand and predict cellular behavior. Computational efforts need to be able to account qualitatively and quantitatively for a wide range of different data types relevant to biological systems. Most of the Reed research group's interests involve the study of metabolism and regulation through the generation and subsequent analysis of metabolic models and reconciliation with experimental data. Overall, the group uses computational models and develops methods to study biological systems, engineer cells, and expand our knowledge of the underlying mechanisms behind observed cellular behavior. We apply these computational and experimental approaches to study metabolic and regulatory networks of organisms involved in biofuel production.