Publications of Robert Flassig

Fachet, M.; Witte, C.; Flassig, R.; Rihko-Struckmann, L.; McKie-Krisberg, Z.; Polle, J.; Sundmacher, K.: Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina. BMC Bioinformatics 21, 1 (2020)

Vogel , S. K.; Wölfer, C.; Ramirez-Diaz, D. A.; Flassig, R.; Sundmacher, K.; Schwille, P.: Symmetry breaking and emergence of directional flows in minimal actomyosin cortices. Cells 9 (6), 1432 (2020)

Buchbinder, J. H.; Pischel, D.; Sundmacher, K.; Flassig, R.; Lavrik, I. N.: Quantitative single cell analysis uncovers the life/death decision in CD95 network. PLOS Computational Biology 14 (9), e1006368 (2018)

Kaiser, N. M.; Flassig, R.; Sundmacher, K.: Reactor-Network Synthesis via Flux Profile Analysis. Chemical Engineering Journal 335, pp. 1018 - 1030 (2018)

Pischel, D.; Buchbinder, J.; Sundmacher, K.; Lavrik, I.; Flassig, R.: A guide to automated apoptosis detection: How to make sense of imaging flow cytometry data. PLoS ONE 13 (5), e0197208 (2018)

Fachet, M.; Flassig, R.; Rihko-Struckmann, L.; Sundmacher, K.: Carotenoid Production Process Using Green Microalgae of the Dunaliella Genus: Model-Based Analysis of Interspecies Variability. Industrial and Engineering Chemistry Research 56 (45), pp. 12888 - 12898 (2017)

Kaiser , N. M.; Jokiel, M.; McBride, K.; Flassig, R.; Sundmacher, K.: Optimal Reactor Design via Flux Profile Analysis for an Integrated Hydroformylation Process. Industrial and Engineering Chemistry Research 56 (40), pp. 11507 - 11518 (2017)

Pischel, D.; Sundmacher, K.; Flassig, R.: Efficient simulation of intrinsic, extrinsic and external noise in biochemical systems. Bioinformatics 33 (14), pp. i319 - i324 (2017)

Flassig, R.; Fachet, M.; Höffner, K.; Barton, P. I.; Sundmacher, K.: Dynamic flux balance modeling to increase the production of high-value compounds in green microalgae. Biotechnology for Biofuels 9 (165), pp. 1 - 12 (2016)

Flassig, R.; Migal, I.; van der Zalm, E.; Rihko-Struckmann, L.; Sundmacher, K.: Rational selection of experimental readout and intervention sites for reducing uncertainties in computational model predictions. BMC Bioinformatics 16, 13 (2015)

Flassig, R.; Maubach, G.; Täger, C.; Sundmacher, K.; Naumann, M.: Experimental design, validation and computational modeling uncover DNA damage sensing by DNA-PK and ATM. Molecular BioSystems 10 (7), pp. 1978 - 1986 (2014)

Pinna, A.; Heise, S.; Flassig, R.; de la Fuente, A.; Klamt, S.: Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation. BMC Systems Biology 7, p. 73 (2013)

Flassig, R.; Sundmacher, K.: Optimal design of stimulus experiments for robust discrimination of biochemical reaction networks. Bioinformatics 28 (23), pp. 3089 - 3096 (2012)

Klamt, S.; Flassig, R.; Sundmacher, K.: TRANSWESD: inferring cellular networks with transitive reduction. Bioinformatics 26 (17), pp. 2160 - 2168 (2010)