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Jimmy G Lafontaine Rivera

Showing results (1-10 of 8) with videos related to

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Metabolic Engineering|June 28, 2014
Ensemble Modeling for Robustness Analysis in engineering non-native metabolic pathwaysYun Lee, Jimmy G Lafontaine Rivera, James C Liao
Integrative Biology : Quantitative Biosciences From Nano to Macro|April 10, 2015
An entropy-like index of bifurcational robustness for metabolic systemsJimmy G Lafontaine Rivera, Yun Lee, James C Liao
Plos Computational Biology|March 11, 2016
Stability of Ensemble Models Predicts Productivity of Enzymatic SystemsMatthew K Theisen, Jimmy G Lafontaine Rivera, James C Liao
Metabolic Engineering|April 9, 2017
Kinetically accessible yield (KAY) for redirection of metabolism to produce exo-metabolitesJimmy G Lafontaine Rivera, Matthew K Theisen, Po-Wei Chen, et al.
Biotechnology Journal|March 2, 2013
Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networksAli R Zomorrodi, Jimmy G Lafontaine Rivera, James C Liao, et al.
Metabolic Engineering|November 16, 2010
Reducing the allowable kinetic space by constructing ensemble of dynamic models with the same steady-state fluxYikun Tan, Jimmy G Lafontaine Rivera, Carolina A Contador, et al.
Genome Announcements|November 29, 2013
Genome Sequence of the Extreme Obligate Alkaliphile Bacillus marmarensis Strain DSM 21297David G Wernick, Kwon-Young Choi, Christine A Tat, et al.
Nature Biotechnology|March 8, 2011
Conversion of proteins into biofuels by engineering nitrogen fluxYi-Xin Huo, Kwang Myung Cho, Jimmy G Lafontaine Rivera, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Metabolic Engineering|June 28, 2014
Ensemble Modeling for Robustness Analysis in engineering non-native metabolic pathwaysYun Lee, Jimmy G Lafontaine Rivera, James C Liao
Integrative Biology : Quantitative Biosciences From Nano to Macro|April 10, 2015
An entropy-like index of bifurcational robustness for metabolic systemsJimmy G Lafontaine Rivera, Yun Lee, James C Liao
Plos Computational Biology|March 11, 2016
Stability of Ensemble Models Predicts Productivity of Enzymatic SystemsMatthew K Theisen, Jimmy G Lafontaine Rivera, James C Liao
Metabolic Engineering|April 9, 2017
Kinetically accessible yield (KAY) for redirection of metabolism to produce exo-metabolitesJimmy G Lafontaine Rivera, Matthew K Theisen, Po-Wei Chen, et al.
Biotechnology Journal|March 2, 2013
Optimization-driven identification of genetic perturbations accelerates the convergence of model parameters in ensemble modeling of metabolic networksAli R Zomorrodi, Jimmy G Lafontaine Rivera, James C Liao, et al.
Metabolic Engineering|November 16, 2010
Reducing the allowable kinetic space by constructing ensemble of dynamic models with the same steady-state fluxYikun Tan, Jimmy G Lafontaine Rivera, Carolina A Contador, et al.
Genome Announcements|November 29, 2013
Genome Sequence of the Extreme Obligate Alkaliphile Bacillus marmarensis Strain DSM 21297David G Wernick, Kwon-Young Choi, Christine A Tat, et al.
Nature Biotechnology|March 8, 2011
Conversion of proteins into biofuels by engineering nitrogen fluxYi-Xin Huo, Kwang Myung Cho, Jimmy G Lafontaine Rivera, et al.
Pageof 1