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

Abstract

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.

Authors:
; ;
Publication Date:
Research Org.:
Health Research, Inc., Menands, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1129075
Report Number(s):
DOE-HRI-0000592
DOE Contract Number:  
SC0000592
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Newberg, Lee, McCue, Lee Anne, and Van Roey, Patrick. Bayesian Computational Approaches for Gene Regulation Studies of Bioethanol and Biohydrogen Production. Final Scientific/Technical Report. United States: N. p., 2014. Web. doi:10.2172/1129075.
Newberg, Lee, McCue, Lee Anne, & Van Roey, Patrick. Bayesian Computational Approaches for Gene Regulation Studies of Bioethanol and Biohydrogen Production. Final Scientific/Technical Report. United States. https://doi.org/10.2172/1129075
Newberg, Lee, McCue, Lee Anne, and Van Roey, Patrick. Thu . "Bayesian Computational Approaches for Gene Regulation Studies of Bioethanol and Biohydrogen Production. Final Scientific/Technical Report". United States. https://doi.org/10.2172/1129075. https://www.osti.gov/servlets/purl/1129075.
@article{osti_1129075,
title = {Bayesian Computational Approaches for Gene Regulation Studies of Bioethanol and Biohydrogen Production. Final Scientific/Technical Report},
author = {Newberg, Lee and McCue, Lee Anne and Van Roey, Patrick},
abstractNote = {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.},
doi = {10.2172/1129075},
url = {https://www.osti.gov/biblio/1129075}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2014},
month = {4}
}