Bayesian Computational Approaches for Gene Regulation Studies of Bioethanol and Biohydrogen Production. Final Scientific/Technical Report

Technical Report · Thu Apr 17 00:00:00 EDT 2014

DOI:https://doi.org/10.2172/1129075· OSTI ID:1129075

Newberg, Lee; McCue, Lee Anne; Van Roey, Patrick

The project developed mathematical models and first-version software tools for the understanding of gene regulation across multiple related species. The project lays the foundation for understanding how certain alpha-proteobacterial species control their own genes for bioethanol and biohydrogen production, and sets the stage for exploiting bacteria for the production of fuels. Enabling such alternative sources of fuel is a high priority for the Department of Energy and the public.

• Research Organization: Health Research, Inc., Menands, NY (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• DOE Contract Number: SC0000592
• OSTI ID: 1129075
• Report Number(s): DOE-HRI-0000592
• Country of Publication: United States
• Language: English