We use computational approaches to generate hypotheses about microbial networks and design experiments to test our understanding of these networks. Read More >>>
We develop computational approaches to predict how different genetic perturbations impact cellular production and growth rates. Read More >>>
We use systems biology approaches to study microbe-microbe and/or microbe-host interactions and develop models and approaches to predict metabolic fluxes and metabolic interactions in these complex systems. Read More >>>
Welcome to Reed Laboratories!
Our group studies microbial metabolism and regulation using a combination of computational and experimental approaches. Overall, we use computational models to study biological systems, engineer cells, and expand our knowledge of the underlying mechanisms behind observed cellular behaviors.
Newest Publications3 results
"Improving Flux Predictions by Integrating Data from Multiple Strains.", Bioinformatics (Oxford, England), dec 2016, pp. btw706.
"MapMaker and PathTracer for tracking carbon in genome-scale metabolic models.", Biotechnology journal, 2016.
"Applications of Constraint-Based Models for Biochemical Production", Biotechnology for Biofuel Production and Optimization, 1 ed. C. Eckert, C. T. Trinh, Eds., Elsevier, 2016, pp. 201–226.