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In Silico Biology
|
December 31, 2014
Exploiting stoichiometric redundancies for computational efficiency and network reduction
Brian P Ingalls, Eric Bembenek
Journal of Theoretical Biology
|
April 18, 2003
Sensitivity analysis of stoichiometric networks: an extension of metabolic control analysis to non-steady state trajectories
Brian P Ingalls, Herbert M Sauro
Journal of Theoretical Biology
|
August 7, 2010
Considerations for using integral feedback control to construct a perfectly adapting synthetic gene network
Jordan Ang, Sangram Bagh, Brian P Ingalls, et al.
Frontiers in Microbiology
|
April 6, 2017
Predictive Modeling of a Batch Filter Mating Process
Akshay Malwade, Angel Nguyen, Peivand Sadat-Mousavi, et al.
Bulletin of Mathematical Biology
|
May 5, 2009
Sequential activation of metabolic pathways: a dynamic optimization approach
Diego A OyarzĂșn, Brian P Ingalls, Richard H Middleton, et al.
Microbial Biotechnology
|
September 24, 2024
Degradation of polyethylene terephthalate (PET) plastics by wastewater bacteria engineered via conjugation
Aaron Yip, Owen D McArthur, Kalista C Ho, et al.
Plos Computational Biology
|
October 13, 2022
Calibrating spatiotemporal models of microbial communities to microscopy data: A review
Aaron Yip, Julien Smith-Roberge, Sara Haghayegh Khorasani, et al.
Proteome Science
|
October 5, 2011
Differential chromatin proteomics of the MMS-induced DNA damage response in yeast
Dong Ryoung Kim, Rohan D Gidvani, Brian P Ingalls, et al.
Plos Computational Biology
|
March 12, 2010
Estimating the stochastic bifurcation structure of cellular networks
Carl Song, Hilary Phenix, Vida Abedi, et al.
BMC Systems Biology
|
June 29, 2012
A quantitative model of the initiation of DNA replication in Saccharomyces cerevisiae predicts the effects of system perturbations
Rohan D Gidvani, Peter Sudmant, Grace Li, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
In Silico Biology
|
December 31, 2014
Exploiting stoichiometric redundancies for computational efficiency and network reduction
Brian P Ingalls, Eric Bembenek
Journal of Theoretical Biology
|
April 18, 2003
Sensitivity analysis of stoichiometric networks: an extension of metabolic control analysis to non-steady state trajectories
Brian P Ingalls, Herbert M Sauro
Journal of Theoretical Biology
|
August 7, 2010
Considerations for using integral feedback control to construct a perfectly adapting synthetic gene network
Jordan Ang, Sangram Bagh, Brian P Ingalls, et al.
Frontiers in Microbiology
|
April 6, 2017
Predictive Modeling of a Batch Filter Mating Process
Akshay Malwade, Angel Nguyen, Peivand Sadat-Mousavi, et al.
Bulletin of Mathematical Biology
|
May 5, 2009
Sequential activation of metabolic pathways: a dynamic optimization approach
Diego A OyarzĂșn, Brian P Ingalls, Richard H Middleton, et al.
Microbial Biotechnology
|
September 24, 2024
Degradation of polyethylene terephthalate (PET) plastics by wastewater bacteria engineered via conjugation
Aaron Yip, Owen D McArthur, Kalista C Ho, et al.
Plos Computational Biology
|
October 13, 2022
Calibrating spatiotemporal models of microbial communities to microscopy data: A review
Aaron Yip, Julien Smith-Roberge, Sara Haghayegh Khorasani, et al.
Proteome Science
|
October 5, 2011
Differential chromatin proteomics of the MMS-induced DNA damage response in yeast
Dong Ryoung Kim, Rohan D Gidvani, Brian P Ingalls, et al.
Plos Computational Biology
|
March 12, 2010
Estimating the stochastic bifurcation structure of cellular networks
Carl Song, Hilary Phenix, Vida Abedi, et al.
BMC Systems Biology
|
June 29, 2012
A quantitative model of the initiation of DNA replication in Saccharomyces cerevisiae predicts the effects of system perturbations
Rohan D Gidvani, Peter Sudmant, Grace Li, et al.
Page
of 2