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Frontiers in Physiology|July 4, 2012
A stochastic model of epigenetic dynamics in somatic cell reprogrammingMax Flöttmann, Till Scharp, Edda KlippHeliyon|February 16, 2023
A dynamical stochastic model of yeast translation across the cell cycleMartin Seeger, Max Flöttmann, Edda KlippBMC Systems Biology|July 10, 2013
Reaction-contingency based bipartite Boolean modellingMax Flöttmann, Falko Krause, Edda Klipp, et al.Bioinformatics (Oxford, England)|October 1, 2013
BooleSim: an interactive Boolean network simulatorMatthias Bock, Till Scharp, Chaitanya Talnikar, et al.Genome Informatics. International Conference on Genome Informatics|May 9, 2009
ModelMage: a tool for automatic model generation, selection and managementMax 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 networksTomoya Mori, Max Flöttmann, Marcus Krantz, et al.Bioinformatics (Oxford, England)|June 7, 2014
SensA: web-based sensitivity analysis of SBML modelsMax Floettmann, Jannis Uhlendorf, Till Scharp, et al.Scientific Reports|March 6, 2019
A transcriptome-wide analysis deciphers distinct roles of G1 cyclins in temporal organization of the yeast cell cycleLotte 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 pathwayJörg Schaber, Max Flöttmann, Jian Li, et al.Bioinformatics (Oxford, England)|April 12, 2013
Biographer: web-based editing and rendering of SBGN compliant biochemical networksFalko Krause, Marvin Schulz, Ben Ripkens, et al.Pageof 17