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A Kremling

Showing results (11-20 of 25) with videos related to

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Metabolic Engineering|November 1, 2000
The organization of metabolic reaction networks: a signal-oriented approach to cellular modelsA Kremling, K Jahreis, J W Lengeler, et al.
Bio Systems|November 24, 2004
Analysis of two-component signal transduction by mathematical modeling using the KdpD/KdpE system of Escherichia coliA Kremling, R Heermann, F Centler, et al.
Bioinformatics (Oxford, England)|June 13, 2003
Modular modeling of cellular systems with ProMoT/DivaM Ginkel, A Kremling, T Nutsch, et al.
Bio Systems|January 20, 2004
Time hierarchies in the Escherichia coli carbohydrate uptake and metabolismA Kremling, S Fischer, T Sauter, et al.
Bioprocess and Biosystems Engineering|January 2, 2017
Application of theoretical methods to increase succinate production in engineered strainsM A Valderrama-Gomez, D Kreitmayer, S Wolf, et al.
Metabolic Engineering|October 26, 2001
The organization of metabolic reaction networks. III. Application for diauxic growth on glucose and lactoseA Kremling, K Bettenbrock, B Laube, et al.
Environmental Microbiology Reports|July 31, 2015
Interplay of the PtsN (EIIA(Ntr)) protein of Pseudomonas putida with its target sensor kinase KdpDM Deuschle, S Limbrunner, D Rother, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 8, 2019
Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequenceJacob D Washburn, Maria Katherine Mejia-Guerra, Guillaume Ramstein, et al.
BMC Genomics|October 7, 2020
Identification of miRNA-eQTLs in maize mature leaf by GWASShu-Yun Chen, Mei-Hsiu Su, Karl A Kremling, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 27, 2023
Cross-species predictive modeling reveals conserved drought responses between maize and sorghumJeremy Pardo, Ching Man Wai, Maxwell Harman, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Metabolic Engineering|November 1, 2000
The organization of metabolic reaction networks: a signal-oriented approach to cellular modelsA Kremling, K Jahreis, J W Lengeler, et al.
Bio Systems|November 24, 2004
Analysis of two-component signal transduction by mathematical modeling using the KdpD/KdpE system of Escherichia coliA Kremling, R Heermann, F Centler, et al.
Bioinformatics (Oxford, England)|June 13, 2003
Modular modeling of cellular systems with ProMoT/DivaM Ginkel, A Kremling, T Nutsch, et al.
Bio Systems|January 20, 2004
Time hierarchies in the Escherichia coli carbohydrate uptake and metabolismA Kremling, S Fischer, T Sauter, et al.
Bioprocess and Biosystems Engineering|January 2, 2017
Application of theoretical methods to increase succinate production in engineered strainsM A Valderrama-Gomez, D Kreitmayer, S Wolf, et al.
Metabolic Engineering|October 26, 2001
The organization of metabolic reaction networks. III. Application for diauxic growth on glucose and lactoseA Kremling, K Bettenbrock, B Laube, et al.
Environmental Microbiology Reports|July 31, 2015
Interplay of the PtsN (EIIA(Ntr)) protein of Pseudomonas putida with its target sensor kinase KdpDM Deuschle, S Limbrunner, D Rother, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 8, 2019
Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequenceJacob D Washburn, Maria Katherine Mejia-Guerra, Guillaume Ramstein, et al.
BMC Genomics|October 7, 2020
Identification of miRNA-eQTLs in maize mature leaf by GWASShu-Yun Chen, Mei-Hsiu Su, Karl A Kremling, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 27, 2023
Cross-species predictive modeling reveals conserved drought responses between maize and sorghumJeremy Pardo, Ching Man Wai, Maxwell Harman, et al.
Pageof 3