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Adam M Feist

Showing results (11-20 of 125) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|November 25, 2017
Computational Methods to Assess the Production Potential of Bio-Based ChemicalsMiguel A Campodonico, Sumesh Sukumara, Adam M Feist, et al.
Nucleic Acids Research|October 26, 2018
ALEdb 1.0: a database of mutations from adaptive laboratory evolution experimentationPatrick V Phaneuf, Dennis Gosting, Bernhard O Palsson, et al.
Applied and Environmental Microbiology|April 30, 2017
Laboratory Evolution to Alternating Substrate Environments Yields Distinct Phenotypic and Genetic Adaptive StrategiesTroy E Sandberg, Colton J Lloyd, Bernhard O Palsson, et al.
Metabolic Engineering|December 18, 2016
Literature mining supports a next-generation modeling approach to predict cellular byproduct secretionZachary A King, Edward J O'Brien, Adam M Feist, et al.
Plos One|October 27, 2011
Cumulative number of cell divisions as a meaningful timescale for adaptive laboratory evolution of Escherichia coliDae-Hee Lee, Adam M Feist, Christian L Barrett, et al.
Current Opinion in Biotechnology|January 10, 2015
Next-generation genome-scale models for metabolic engineeringZachary A King, Colton J Lloyd, Adam M Feist, et al.
Metabolic Engineering Communications|October 30, 2018
Identification of growth-coupled production strains considering protein costs and kinetic variabilityHoang V Dinh, Zachary A King, Bernhard O Palsson, et al.
Analytical Chemistry|December 16, 2015
MID Max: LC-MS/MS Method for Measuring the Precursor and Product Mass Isotopomer Distributions of Metabolic Intermediates and Cofactors for Metabolic Flux Analysis ApplicationsDouglas McCloskey, Jamey D Young, Sibei Xu, et al.
Applied Microbiology and Biotechnology|September 2, 2008
Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic networkJoungmin Lee, Hongseok Yun, Adam M Feist, et al.
Nature Communications|May 28, 2021
Compensatory evolution of Pseudomonas aeruginosa's slow growth phenotype suggests mechanisms of adaptation in cystic fibrosisRuggero La Rosa, Elio Rossi, Adam M Feist, et al.
Pageof 13

Showing results (11-20 of 125) with videos related to

Sort By:
Pageof 13
Methods in Molecular Biology (Clifton, N.J.)|November 25, 2017
Computational Methods to Assess the Production Potential of Bio-Based ChemicalsMiguel A Campodonico, Sumesh Sukumara, Adam M Feist, et al.
Nucleic Acids Research|October 26, 2018
ALEdb 1.0: a database of mutations from adaptive laboratory evolution experimentationPatrick V Phaneuf, Dennis Gosting, Bernhard O Palsson, et al.
Applied and Environmental Microbiology|April 30, 2017
Laboratory Evolution to Alternating Substrate Environments Yields Distinct Phenotypic and Genetic Adaptive StrategiesTroy E Sandberg, Colton J Lloyd, Bernhard O Palsson, et al.
Metabolic Engineering|December 18, 2016
Literature mining supports a next-generation modeling approach to predict cellular byproduct secretionZachary A King, Edward J O'Brien, Adam M Feist, et al.
Plos One|October 27, 2011
Cumulative number of cell divisions as a meaningful timescale for adaptive laboratory evolution of Escherichia coliDae-Hee Lee, Adam M Feist, Christian L Barrett, et al.
Current Opinion in Biotechnology|January 10, 2015
Next-generation genome-scale models for metabolic engineeringZachary A King, Colton J Lloyd, Adam M Feist, et al.
Metabolic Engineering Communications|October 30, 2018
Identification of growth-coupled production strains considering protein costs and kinetic variabilityHoang V Dinh, Zachary A King, Bernhard O Palsson, et al.
Analytical Chemistry|December 16, 2015
MID Max: LC-MS/MS Method for Measuring the Precursor and Product Mass Isotopomer Distributions of Metabolic Intermediates and Cofactors for Metabolic Flux Analysis ApplicationsDouglas McCloskey, Jamey D Young, Sibei Xu, et al.
Applied Microbiology and Biotechnology|September 2, 2008
Genome-scale reconstruction and in silico analysis of the Clostridium acetobutylicum ATCC 824 metabolic networkJoungmin Lee, Hongseok Yun, Adam M Feist, et al.
Nature Communications|May 28, 2021
Compensatory evolution of Pseudomonas aeruginosa's slow growth phenotype suggests mechanisms of adaptation in cystic fibrosisRuggero La Rosa, Elio Rossi, Adam M Feist, et al.
Pageof 13