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)

Wölfer, C.; Mangold, M.; Flassig, R.: Towards Design of Self‐Organizing Biomimetic Systems. Advanced Biosystems 3 (6), 1800320 (2019)

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)

Kaiser, N. M.; Flassig, R.; Sundmacher, K.: Probabilistic Reactor Design in the Framework of Elementary Process Functions. Computers & Chemical Engineering, pp. 45 - 59 (2016)

Do Thi, Q. N.; Varničić, M.; Flassig, R.; Vidaković-Koch, T.; Sundmacher, K.: Dynamic and Steady State 1-D Model of Mediated Electron Transfer in a Porous Enzymatic Electrode. Bioelectrochemistry 106 (Part A), pp. 3 - 13 (2015)

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)

Pirwitz, K.; Flassig, R.; Rihko-Struckmann, L.; Sundmacher, K.: Energy and operating cost assessment of competing harvesting methods for D. salina in a ß-carotene production process. Algal Research 12, pp. 161 - 169 (2015)

Fachet, M.; Flassig, R.; Rihko-Struckmann, L.; Sundmacher, K.: A dynamic growth model of Dunaliella salina: Parameter identification and profile likelihood analysis. Bioresource Technology 173, pp. 21 - 31 (2014)

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)

Flassig, R.; Heise, S.; Sundmacher, K.; Klamt, S.: An effective framework for reconstructing gene regulatory networks from genetical genomics data. Bioinformatics 29 (2), pp. 246 - 254 (2013)

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)

Heise, S.; Flassig, R.; Klamt, S.: Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory Networks from Systems Genetic Data. In: Gene Network Inference: Verification of Methods for Systems Genetic Data., pp. 33 - 47. Springer, Heidelberg (2013)

Kaiser, N. M.; Flassig, R.; Sundmacher, K.: Design and Comparison of Optimal Reactor Concepts for the Hydroformylation of Olefins by Use of a Probabilistic Design Framework. In: 26th European Symposium on Computer Aided Process Engineering, pp. 1365 - 1370. 26th European Symposium on Computer Aided Process Engineering - ESCAPE 26, Portorož, Slovenia, June 12, 2016 - June 15, 2016. (2016)

Pischel, D.; Flassig, R.; Sundmacher, K.: Efficient simulation of heterogeneity and stochasticity in microbial processes. In: 26th European Symposium on Computer Aided Process Engineering, pp. 1213 - 1218. 26th European Symposium on Computer Aided Process Engineering - ESCAPE26, Portorož, Slovenia, June 12, 2016 - June 15, 2016. (2016)

Flassig, R.; Fachet, M.; Rihko-Struckmann, L.; Sundmacher, K.: Robust process design for the bioproduction of b-carotene in green microalgae. In: 12th International Symposium on Process Systems Engineering (PSE) & 25th European Symposium on Computer Aided Process Engineering (ESCAPE), pp. 2117 - 2122. 12th International Symposium on Process Systems Engineering (PSE) & 25th European Symposium on Computer Aided Process Engineering (ESCAPE), Kopenhagen, Denmark, May 31, 2015 - June 04, 2015. (2015)

Flassig, R.; Sundmacher, K.: Nonlinear Design of Stimulus Experiments for Optimal Discrimination of Biochemical Systems. In: 11th International Symposium on Process Systems Engineering, Vol. 31, pp. 540 - 544. 11th International Symposium on Process Systems Engineering, Singapore, July 15, 2012 - July 19, 2012. (2012)

Wölfer, C.; Flassig, R.; Mangold, M.: Modeling Actomyosin Clustering Depending on Medium ATP-Concentrations. In MATHMOD 2018 Extended Abstract Volume, 54, pp. 53. 9th Vienna Conference on Mathematical Modelling, Vienna, Austria, February 21, 2018 - February 23, 2018. (2018)

Kozlowski, A.; Pischel, D.; Fachet, M.; Pirwitz, K.; Flassig, R.; Sundmacher, K.: From Lab to Outdoor: Modeling Light Fluctuations in Algal Photobioreactors to Identify Economically Feasible Solutions. Young Algaeneers Symposium, Oban, UK (2018)

Kaiser, N. M.; Flassig, R.; Sundmacher, K.: From the Reaction Network to Optimal Process Design via Flux Analysis – Exemplified by the Hydroformylation of 1-Dodecene. Jahrestreffen Reaktionstechnik 2017, Wuerzburg, Germany, 2017 (2017)

Pischel, D.; Buchbinder, J. H.; Flassig, R.; Lavrik, I. N.; Sundmacher, K.: Process Monitoring with Imaging Flow Cytometry - a Machine Learning Approach. ECAB/WCCE 2017, Barcelona, Spain (2017)

Pischel, D.; Sundmacher, K.; Flassig, R.: Efficient simulation of intrinsic, extrinsic and external noise in biochemical systems. ISMB/ECCB, Prague, Czech Republic (2017)

Fachet, M.; Gladebeck, S.; Flassig, R.; Höffner, K.; Rihko-Struckmann, L.; Sundmacher, K.: Model-based Optimization of Microalgal Biorefineries by Dynamic Flux Balance Analysis (DFBA). CAPE Forum 2016, EPFL Valais-Wallis, Sion (2016)

Flassig, R.; Fachet, M.; Höffner, K.; Sundmacher, K.: Dynamic flux balance modeling to increase the production of high-value compounds in green microalgae. ENCAPP 2016, Malta (2016)

Kaiser, N. M.; Flassig, R.; Sundmacher, K.: Design and comparison of optimal reactor concepts for the hydroformylation of olefins by use of a probabilistic design framework. ESCAPE26, Portorož, Slovenia (2016)

Pischel, D.; Flassig, R.; Sundmacher, K.: Efficient simulation of heterogeneity and stochasticity in microbial processes. ESCAPE26: 26th European Symposium on Computer Aided Process Engineering, Portorož, Slovenia (2016)

Do Thi, Q. N.; Varničić, M.; Flassig, R.; Vidaković-Koch, T.; Sundmacher, K.: Dynamic and Steady State 1-D Model of Mediated Electron Transfer in a Porous Enzymatic Electrode. XXIII International Symposium on Bioelectrochemistry and Bioenergetics, Malmo, Sweden (2015)

Flassig, R.; Fachet, M.; Rihko-Struckmann, L.; Sundmacher, K.: Robust process design for the bioproduction of b-carotene in green microalgae. PSE2015 Conference, Copenhagen, Denmark (2015)

Flassig, R.; Pischel, D.; Sundmacher, K.: An efficient approach to parameter identifiability analysis in nonlinear models. MACKIE 2015, Ghent, Belgium (2015)

Höffner, K.; Flassig, R.; Fachet, M.; Sundmacher, K.: Modeling metabolite accumulation and biomass composition in microalgae using dynamic flux balance analysis. ECCE10+ECAB3+EPIC5 , Nice, France (2015)

Pischel, D.; Flassig, R.; Sundmacher, K.: Coping with heterogeneity and stochasticity in microbial processes. MACKIE 2015, Ghent, Belgium (2015)

Rihko-Struckmann, L.; Pirwitz, K.; Karani, U.; Molnar, M.; Flassig, R.; Sundmacher, K.: Mild Hydrothermal Liquefaction of Dunaliella salina for the Recovery and Extraction of Valuable Microalgal Ingredients. ECCE10+ECAB3+EPIC5 , Nice, France (2015)

Flassig, R.; Heise, S.; Pinna, A.; de la Fuente, A.; Klamt, S.; Sundmacher, K.: Novel Methods for the Reconstruction of Regulatory Networks Based on Perturbation Graphs and Transitive Reduction. ICSB Copenhagen, Copenhagen (2013)

Flassig, R.; Sundmacher, K.: Estimating model response distributions of dynamic systems with distributed parameters for robust optimal design problems. MaCKiE 2013 , Madras, India (2013)

Flassig, R.; Sundmacher, K.: Design of Stimulus Experiments for Robust Model Discrimination. International Conference On Systems Biology, Heidelberg, Germany (2011)

Flassig, R.; Sundmacher, K.: Design of robust discrimination experiments for modeling biochemical reaction networks. MaCKiE 7 - Mathematics in Chemical Kinetics and Engineering, Heidelberg, Germany (2011)

Pischel, D.; Sundmacher, K.; Flassig, R.: Efficient simulation of variability and heterogeneity in bioprocess engineering. MATHMOD 2018, Vienna, Austria (2018)

Flassig, R.; Fachet, M.; Gladebeck, S.; Pirwitz, K.; Rihko-Struckmann, L.; Sundmacher, K.: Modeling of Biomass Composition Using Dynamic Flux Balance Analysis for Optimization of Microalgal Biorefineries. FOSBE 2016, Magdeburg, Germany (2016)

Flassig, R.; Fachet, M.; Höffner, K.; Sundmacher, K.: Dynamic flux balance modeling to increase the production of high-value compounds in green microalgae. Industrial Biotechnology Forum 2016 (IBF), Garching/Munich/Germany (2016)

Fachet, M.; Flassig, R.; Rihko-Struckmann, L.; Sundmacher, K.: Model-based process design for natural b-carotene: Accounting for parameter uncertainties and process design variabilities. Algal Biomass, Biofuels and Bioproducts, San Diego, USA (2015)

Kaiser, N.; Flassig, R.; Sundmacher, K.: Hydroformylation reactor design under model and design uncertainties. DGMK "Synthesis Gas Chemistry", Dresden, Germany (2015)

Flassig, R.; Heise, S.; Sundmacher, K.; Klamt, S.: An effective Framework for Gene RegulatoryNetwork Reconstruction from Genetical Genomics Data. GCB 2012, Jena, Germany (2012)