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Frontiers in Physiology
|
July 4, 2012
A stochastic model of epigenetic dynamics in somatic cell reprogramming
Max Flöttmann, Till Scharp, Edda Klipp
Heliyon
|
February 16, 2023
A dynamical stochastic model of yeast translation across the cell cycle
Martin Seeger, Max Flöttmann, Edda Klipp
BMC Systems Biology
|
July 10, 2013
Reaction-contingency based bipartite Boolean modelling
Max Flöttmann, Falko Krause, Edda Klipp, et al.
Genome Informatics. International Conference on Genome Informatics
|
May 9, 2009
ModelMage: a tool for automatic model generation, selection and management
Max Flöttmann, Jörg Schaber, Stephan Hoops, et al.
BMC Systems Biology
|
August 12, 2015
Stochastic simulation of Boolean rxncon models: towards quantitative analysis of large signaling networks
Tomoya Mori, Max Flöttmann, Marcus Krantz, et al.
Scientific Reports
|
March 6, 2019
A transcriptome-wide analysis deciphers distinct roles of G1 cyclins in temporal organization of the yeast cell cycle
Lotte Teufel, Katja Tummler, Max Flöttmann, et al.
Plos One
|
April 13, 2011
Automated ensemble modeling with modelMaGe: analyzing feedback mechanisms in the Sho1 branch of the HOG pathway
Jörg Schaber, Max Flöttmann, Jian Li, et al.
Bioinformatics (Oxford, England)
|
April 12, 2013
Biographer: web-based editing and rendering of SBGN compliant biochemical networks
Falko Krause, Marvin Schulz, Ben Ripkens, et al.
Plos One
|
April 11, 2014
Alteration of protein levels during influenza virus H1N1 infection in host cells: a proteomic survey of host and virus reveals differential dynamics
Susann Kummer, Max Flöttmann, Björn Schwanhäusser, et al.
Plos Computational Biology
|
October 26, 2016
Viral RNA Degradation and Diffusion Act as a Bottleneck for the Influenza A Virus Infection Efficiency
Max Schelker, Caroline Maria Mair, Fabian Jolmes, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
Frontiers in Physiology
|
July 4, 2012
A stochastic model of epigenetic dynamics in somatic cell reprogramming
Max Flöttmann, Till Scharp, Edda Klipp
Heliyon
|
February 16, 2023
A dynamical stochastic model of yeast translation across the cell cycle
Martin Seeger, Max Flöttmann, Edda Klipp
BMC Systems Biology
|
July 10, 2013
Reaction-contingency based bipartite Boolean modelling
Max Flöttmann, Falko Krause, Edda Klipp, et al.
Genome Informatics. International Conference on Genome Informatics
|
May 9, 2009
ModelMage: a tool for automatic model generation, selection and management
Max Flöttmann, Jörg Schaber, Stephan Hoops, et al.
BMC Systems Biology
|
August 12, 2015
Stochastic simulation of Boolean rxncon models: towards quantitative analysis of large signaling networks
Tomoya Mori, Max Flöttmann, Marcus Krantz, et al.
Scientific Reports
|
March 6, 2019
A transcriptome-wide analysis deciphers distinct roles of G1 cyclins in temporal organization of the yeast cell cycle
Lotte Teufel, Katja Tummler, Max Flöttmann, et al.
Plos One
|
April 13, 2011
Automated ensemble modeling with modelMaGe: analyzing feedback mechanisms in the Sho1 branch of the HOG pathway
Jörg Schaber, Max Flöttmann, Jian Li, et al.
Bioinformatics (Oxford, England)
|
April 12, 2013
Biographer: web-based editing and rendering of SBGN compliant biochemical networks
Falko Krause, Marvin Schulz, Ben Ripkens, et al.
Plos One
|
April 11, 2014
Alteration of protein levels during influenza virus H1N1 infection in host cells: a proteomic survey of host and virus reveals differential dynamics
Susann Kummer, Max Flöttmann, Björn Schwanhäusser, et al.
Plos Computational Biology
|
October 26, 2016
Viral RNA Degradation and Diffusion Act as a Bottleneck for the Influenza A Virus Infection Efficiency
Max Schelker, Caroline Maria Mair, Fabian Jolmes, et al.
Page
of 2