Molecular insights into reprogramming-initiation events mediated by the OSKM gene regulatory network N Mah, Y Wang, MC Liao, A Prigione, J Jozefczuk, B Lichtner, K Wolfrum, ... PloS one 6 (8), e24351, 2011 | 89 | 2011 |
A stochastic model of epigenetic dynamics in somatic cell reprogramming M Flöttmann, T Scharp, E Klipp Frontiers in physiology 3, 24010, 2012 | 57 | 2012 |
Alteration of protein levels during influenza virus H1N1 infection in host cells: a proteomic survey of host and virus reveals differential dynamics S Kummer, M Flöttmann, B Schwanhäusser, C Sieben, M Veit, M Selbach, ... PLoS One 9 (4), e94257, 2014 | 54 | 2014 |
Viral RNA degradation and diffusion act as a bottleneck for the influenza A virus infection efficiency M Schelker, CM Mair, F Jolmes, RW Welke, E Klipp, A Herrmann, ... PLoS computational biology 12 (10), e1005075, 2016 | 30 | 2016 |
ModelMage: a tool for automatic model generation, selection and management M Flöttmann, J Schaber, S Hoops, E Klipp, P Mendes Genome Informatics 20, 52-63, 2008 | 29 | 2008 |
Stochastic simulation of Boolean rxncon models: towards quantitative analysis of large signaling networks T Mori, M Flöttmann, M Krantz, T Akutsu, E Klipp BMC systems biology 9, 1-9, 2015 | 27 | 2015 |
Automated ensemble modeling with modelMaGe: analyzing feedback mechanisms in the Sho1 branch of the HOG pathway J Schaber, M Flöttmann, J Li, CF Tiger, S Hohmann, E Klipp PloS one 6 (3), e14791, 2011 | 27 | 2011 |
Biographer: web-based editing and rendering of SBGN compliant biochemical networks F Krause, M Schulz, B Ripkens, M Flöttmann, M Krantz, E Klipp, T Handorf Bioinformatics 29 (11), 1467-1468, 2013 | 21 | 2013 |
Reaction-contingency based bipartite Boolean modelling M Flöttmann, F Krause, E Klipp, M Krantz BMC systems biology 7, 1-12, 2013 | 16 | 2013 |
A transcriptome-wide analysis deciphers distinct roles of G1 cyclins in temporal organization of the yeast cell cycle L Teufel, K Tummler, M Flöttmann, A Herrmann, N Barkai, E Klipp Scientific Reports 9 (1), 3343, 2019 | 10 | 2019 |
G1 and G2 arrests in response to osmotic shock are robust properties of the budding yeast cell cycle C Waltermann, M Floettmann, E Klipp Genome Informatics 2010: Genome Informatics Series Vol. 24, 204-217, 2010 | 5 | 2010 |
Sensa: Web-based sensitivity analysis of sbml models M Floettmann, J Uhlendorf, T Scharp, E Klipp, TW Spiesser Bioinformatics 30 (19), 2830-2831, 2014 | 3 | 2014 |
A dynamical stochastic model of yeast translation across the cell cycle M Seeger, M Flöttmann, E Klipp Heliyon 9 (2), 2023 | 2 | 2023 |
Roles of G1 cyclins in the temporal organization of yeast cell cycle-a transcriptome-wide analysis L Teufel, K Tummler, M Flöttmann, A Herrmann, N Barkai, E Klipp bioRxiv, 287573, 2018 | 1 | 2018 |
Computational Modeling of Biochemical Processes and Cell Differentiation M Floettmann, T Scharp, E Klipp Stem Cells: From Mechanisms to Technologies, 3-29, 2012 | 1 | 2012 |
Functional analysis of High-Throughput data for dynamic modeling in eukaryotic systems M Flöttmann Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2013 | | 2013 |
Sequence and Structure Analysis of an Unknown Protein M Flöttmann, A Möglich | | |