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Katharina Nöh

Showing results (1-10 of 64) with videos related to

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Bioinformatics (Oxford, England)|June 20, 2019
Reversible jump MCMC for multi-model inference in Metabolic Flux AnalysisAxel Theorell, Katharina Nöh
Advances in Biochemical Engineering/Biotechnology|March 29, 2005
From stationary to instationary metabolic flux analysisWolfgang Wiechert, Katharina Nöh
Biotechnology and Bioengineering|April 7, 2006
Experimental design principles for isotopically instationary 13C labeling experimentsKatharina Nöh, Wolfgang Wiechert
Current Opinion in Biotechnology|April 30, 2013
Isotopically non-stationary metabolic flux analysis: complex yet highly informativeWolfgang Wiechert, Katharina Nöh
Plos One|December 11, 2025
PyUAT: An open-source Python framework for uncertainty-aware, efficient, and scalable model-driven cell trackingJohannes Seiffarth, Katharina Nöh
Applied Microbiology and Biotechnology|July 7, 2011
The benefits of being transient: isotope-based metabolic flux analysis at the short time scaleKatharina Nöh, Wolfgang Wiechert
BMC Bioinformatics|August 31, 2007
The topology of metabolic isotope labeling networksMichael Weitzel, Wolfgang Wiechert, Katharina Nöh
Journal of Biotechnology|January 2, 2016
A scientific workflow framework for (13)C metabolic flux analysisTolga Dalman, Wolfgang Wiechert, Katharina Nöh
Metabolic Engineering|August 8, 2006
Computational tools for isotopically instationary 13C labeling experiments under metabolic steady state conditionsKatharina Nöh, Aljoscha Wahl, Wolfgang Wiechert
Bioinformatics (Oxford, England)|October 10, 2014
Visual workflows for 13C-metabolic flux analysisKatharina Nöh, Peter Droste, Wolfgang Wiechert
Pageof 7

Showing results (1-10 of 64) with videos related to

Sort By:
Pageof 7
Bioinformatics (Oxford, England)|June 20, 2019
Reversible jump MCMC for multi-model inference in Metabolic Flux AnalysisAxel Theorell, Katharina Nöh
Advances in Biochemical Engineering/Biotechnology|March 29, 2005
From stationary to instationary metabolic flux analysisWolfgang Wiechert, Katharina Nöh
Biotechnology and Bioengineering|April 7, 2006
Experimental design principles for isotopically instationary 13C labeling experimentsKatharina Nöh, Wolfgang Wiechert
Current Opinion in Biotechnology|April 30, 2013
Isotopically non-stationary metabolic flux analysis: complex yet highly informativeWolfgang Wiechert, Katharina Nöh
Plos One|December 11, 2025
PyUAT: An open-source Python framework for uncertainty-aware, efficient, and scalable model-driven cell trackingJohannes Seiffarth, Katharina Nöh
Applied Microbiology and Biotechnology|July 7, 2011
The benefits of being transient: isotope-based metabolic flux analysis at the short time scaleKatharina Nöh, Wolfgang Wiechert
BMC Bioinformatics|August 31, 2007
The topology of metabolic isotope labeling networksMichael Weitzel, Wolfgang Wiechert, Katharina Nöh
Journal of Biotechnology|January 2, 2016
A scientific workflow framework for (13)C metabolic flux analysisTolga Dalman, Wolfgang Wiechert, Katharina Nöh
Metabolic Engineering|August 8, 2006
Computational tools for isotopically instationary 13C labeling experiments under metabolic steady state conditionsKatharina Nöh, Aljoscha Wahl, Wolfgang Wiechert
Bioinformatics (Oxford, England)|October 10, 2014
Visual workflows for 13C-metabolic flux analysisKatharina Nöh, Peter Droste, Wolfgang Wiechert
Pageof 7