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Jannis Uhlendorf

Showing results (1-10 of 13) with videos related to

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Bioinformatics (Oxford, England)|April 14, 2010
Modular rate laws for enzymatic reactions: thermodynamics, elasticities and implementationWolfram Liebermeister, Jannis Uhlendorf, Edda Klipp
NPJ Systems Biology and Applications|October 5, 2019
Osmolyte homeostasis controls single-cell growth rate and maximum cell size of <i>Saccharomyces cerevisiae</i>Tom Altenburg, Björn Goldenbogen, Jannis Uhlendorf, et al.
Genome Informatics. International Conference on Genome Informatics|May 16, 2007
SBMLmerge, a system for combining biochemical network modelsMarvin Schulz, Jannis Uhlendorf, Edda Klipp, et al.
Journal of Signal Transduction|June 4, 2011
The Dynamical Systems Properties of the HOG Signaling CascadeAgnès Miermont, Jannis Uhlendorf, Megan McClean, et al.
Genome Informatics. International Conference on Genome Informatics|June 12, 2008
Automatically generated model of a metabolic networkSimon Borger, Wolfram Liebermeister, Jannis Uhlendorf, et al.
In Silico Biology|September 14, 2007
Integration of enzyme kinetic data from various sourcesSimon Borger, Jannis Uhlendorf, Anselm Helbig, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 2, 2010
Towards real-time control of gene expression: controlling the HOG signaling cascadeJannis Uhlendorf, Samuel Bottani, François Fages, et al.
Bioinformatics (Oxford, England)|June 7, 2014
SensA: web-based sensitivity analysis of SBML modelsMax Floettmann, Jannis Uhlendorf, Till Scharp, et al.
Open Biology|September 9, 2016
Dynamics of cell wall elasticity pattern shapes the cell during yeast mating morphogenesisBjörn Goldenbogen, Wolfgang Giese, Marie Hemmen, et al.
Bioinformatics (Oxford, England)|November 26, 2009
Annotation and merging of SBML models with semanticSBMLFalko Krause, Jannis Uhlendorf, Timo Lubitz, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|April 14, 2010
Modular rate laws for enzymatic reactions: thermodynamics, elasticities and implementationWolfram Liebermeister, Jannis Uhlendorf, Edda Klipp
NPJ Systems Biology and Applications|October 5, 2019
Osmolyte homeostasis controls single-cell growth rate and maximum cell size of <i>Saccharomyces cerevisiae</i>Tom Altenburg, Björn Goldenbogen, Jannis Uhlendorf, et al.
Genome Informatics. International Conference on Genome Informatics|May 16, 2007
SBMLmerge, a system for combining biochemical network modelsMarvin Schulz, Jannis Uhlendorf, Edda Klipp, et al.
Journal of Signal Transduction|June 4, 2011
The Dynamical Systems Properties of the HOG Signaling CascadeAgnès Miermont, Jannis Uhlendorf, Megan McClean, et al.
Genome Informatics. International Conference on Genome Informatics|June 12, 2008
Automatically generated model of a metabolic networkSimon Borger, Wolfram Liebermeister, Jannis Uhlendorf, et al.
In Silico Biology|September 14, 2007
Integration of enzyme kinetic data from various sourcesSimon Borger, Jannis Uhlendorf, Anselm Helbig, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 2, 2010
Towards real-time control of gene expression: controlling the HOG signaling cascadeJannis Uhlendorf, Samuel Bottani, François Fages, et al.
Bioinformatics (Oxford, England)|June 7, 2014
SensA: web-based sensitivity analysis of SBML modelsMax Floettmann, Jannis Uhlendorf, Till Scharp, et al.
Open Biology|September 9, 2016
Dynamics of cell wall elasticity pattern shapes the cell during yeast mating morphogenesisBjörn Goldenbogen, Wolfgang Giese, Marie Hemmen, et al.
Bioinformatics (Oxford, England)|November 26, 2009
Annotation and merging of SBML models with semanticSBMLFalko Krause, Jannis Uhlendorf, Timo Lubitz, et al.
Pageof 2