BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale.
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| Title: | BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. |
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| Authors: | Backman TWH; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.; Biofuels and Bioproducts Division, Joint BioEnergy Institute, Emeryville, California, United States of America., Schenk C; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.; BCAM, Basque Center for Applied Mathematics, Bilbao, Spain.; DOE Agile BioFoundry, Emeryville, California, United States of America., Radivojevic T; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.; Biofuels and Bioproducts Division, Joint BioEnergy Institute, Emeryville, California, United States of America.; DOE Agile BioFoundry, Emeryville, California, United States of America., Ando D; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.; Biofuels and Bioproducts Division, Joint BioEnergy Institute, Emeryville, California, United States of America., Singh J; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, United States of America., Czajka JJ; Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America., Costello Z; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.; Biofuels and Bioproducts Division, Joint BioEnergy Institute, Emeryville, California, United States of America.; DOE Agile BioFoundry, Emeryville, California, United States of America., Keasling JD; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.; Biofuels and Bioproducts Division, Joint BioEnergy Institute, Emeryville, California, United States of America.; Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California, United States of America.; Department of Bioengineering, University of California, Berkeley, California, United States of America.; QB3 Institute, University of California, Berkeley, California, United States of America.; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Copenhagen, Denmark.; Center for Synthetic Biochemistry, Institute for Synthetic Biology, Shenzhen Institutes for Advanced Technologies, Shenzhen, China., Tang Y; Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America., Akhmatskaya E; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.; BCAM, Basque Center for Applied Mathematics, Bilbao, Spain.; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain., Garcia Martin H; Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America.; Biofuels and Bioproducts Division, Joint BioEnergy Institute, Emeryville, California, United States of America.; BCAM, Basque Center for Applied Mathematics, Bilbao, Spain.; DOE Agile BioFoundry, Emeryville, California, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2023 Nov 10; Vol. 19 (11), pp. e1011111. Date of Electronic Publication: 2023 Nov 10 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1011111 |
