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 >>>
Upcoming Conferences and Seminars
- Jennie is presenting at Biochemical and Molecular Engineering XIX in July
- Jennie is presenting at COBRA in September
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.
- June, 2015
Jennie Reed was recently named a Harvey D. Spangler Faculty Scholar in the College of Engineering.
- Feb, 2015
Paul, Prashant, Shu, and Mingyuan all successfully passed their prelim exams.
- Summer, 2014
Matt Long received a Genome Sciences Training Program traineeship.
- Summer, 2014
Chris Tervo, Josh Hamilton, Xiaolin Zhang, and Camo Cotten all finished their Ph.D. degrees.
Newest Publications3 results
"Applications of Constraint-Based Models for Biochemical Production", Biotechnology for Biofuel Production and Optimization, 1 ed. C. Eckert, C. T. Trinh, Eds., Elsevier.
"Computational methods in metabolic engineering for strain design", Current Opinion in Biotechnology, vol. 34, aug 2015, pp. 135–141.
"Thermodynamics and H2 Transfer in a Methanogenic, Syntrophic Community", PLOS Computational Biology, vol. 11, no. 7, jul 2015, pp. e1004364.