C. C. Guet, L. Bruneaux, P. Oikonomou, M. Aldana, and P. Cluzel, “Monitoring lineages of growing and dividing bacteria reveals an inducible memory of mar operon expression,” Frontiers in Microbiology, vol. 14. Frontiers, 2023.

A. Davidovi, R. P. Chait, G. Batt, and J. Ruess, “Parameter inference for stochastic biochemical models from perturbation experiments parallelised at the single cell level,” PLoS Computational Biology, vol. 18, no. 3. Public Library of Science, 2022.

N. Nikolic, M. Sauert, T. G. Albanese, and I. Moll, “Quantifying heterologous gene expression during ectopic MazF production in Escherichia coli,” BMC Research Notes, vol. 15. Springer Nature, 2022.

M. Lagator et al., “Predicting bacterial promoter function and evolution from random sequences,” eLife, vol. 11. eLife Sciences Publications, 2022.

R. Römhild, M. T. Bollenbach, and D. I. Andersson, “The physiology and genetics of bacterial responses to antibiotic combinations,” Nature Reviews Microbiology, vol. 20. Springer Nature, pp. 478–490, 2022.

G. Glover et al., “Nutrient and salt depletion synergistically boosts glucose metabolism in individual Escherichia coli cells,” Communications Biology, vol. 5. Springer Nature, 2022.

K. Tomasek, A. F. Leithner, I. Glatzová, M. S. Lukesch, C. C. Guet, and M. K. Sixt, “Type 1 piliated uropathogenic Escherichia coli hijack the host immune response by binding to C,” eLife, vol. 11. eLife Sciences Publications, 2022.

I. Tomanek and C. C. Guet, “Adaptation dynamics between copynumber and point mutations,” eLife, vol. 11. eLife Sciences Publications, 2022.

I. Tomanek and C. C. Guet, “Flow cytometry YFP and CFP data and deep sequencing data of populations evolving in galactose.” Dryad, 2022.

R. Römhild and D. I. Andersson, “Mechanisms and therapeutic potential of collateral sensitivity to antibiotics,” PLoS Pathogens, vol. 17, no. 1. Public Library of Science, 2021.

T. Petrov, C. Igler, A. Sezgin, T. A. Henzinger, and C. C. Guet, “Long lived transients in gene regulation,” Theoretical Computer Science, vol. 893. Elsevier, pp. 1–16, 2021.

T. Zisis et al., “Sequential and switchable patterning for studying cellular processes under spatiotemporal control,” ACS Applied Materials and Interfaces, vol. 13, no. 30. American Chemical Society, pp. 35545–35560, 2021.

A. Batra, R. Römhild, E. Rousseau, S. Franzenburg, S. Niemann, and H. Schulenburg, “High potency of sequential therapy with only beta-lactam antibiotics,” eLife, vol. 10. eLife Sciences Publications, 2021.

J. Lee et al., “Rational engineering of an erythropoietin fusion protein to treat hypoxia,” Protein Engineering, Design and Selection, vol. 34. Oxford University Press, 2021.

A. A. Nagy-Staron et al., “Local genetic context shapes the function of a gene regulatory network,” eLife, vol. 10. eLife Sciences Publications, 2021.

D. Le, E. Krasnopeeva, F. Sinjab, T. Pilizota, and M. Kim, “Active efflux leads to heterogeneous dissipation of proton motive force by protonophores in bacteria,” mBio, vol. 12, no. 4. American Society for Microbiology, 2021.

K. Tomasek, “Pathogenic Escherichia coli hijack the host immune response,” Institute of Science and Technology Austria, 2021.

K. Tomasek, A. F. Leithner, I. Glatzová, M. S. Lukesch, C. C. Guet, and M. K. Sixt, “Type 1 piliated uropathogenic Escherichia coli hijack the host immune response by binding to C,” bioRxiv. Cold Spring Harbor Laboratory.

S. Kainrath and H. L. Janovjak, “Design and application of light-regulated receptor tyrosine kinases,” in Photoswitching Proteins, vol. 2173, D. Niopek, Ed. Springer Nature, 2020, pp. 233–246.

R. Grah, “Gene regulation across scales – how biophysical constraints shape evolution,” Institute of Science and Technology Austria, 2020.

R. Grah, B. Zoller, and G. Tkadik, “Normative models of enhancer function,” bioRxiv. Cold Spring Harbor Laboratory, 2020.

R. Grah and T. Friedlander, “The relation between crosstalk and gene regulation form revisited,” PLOS Computational Biology, vol. 16, no. 2. Public Library of Science, 2020.

A. A. Nagy-Staron, “Sequences of gene regulatory network permutations for the article ‘Local genetic context shapes the function of a gene regulatory network.’” Institute of Science and Technology Austria, 2020.

R. Grah, “Matlab scripts for the Paper: Gene Amplification as a Form of Population-Level Gene Expression regulation.” Institute of Science and Technology Austria, 2020.

S. Kainrath, “Synthetic tools for optogenetic and chemogenetic inhibition of cellular signals,” Institute of Science and Technology Austria, 2020.

I. Tomanek et al., “Gene amplification as a form of population-level gene expression regulation,” Nature Ecology &; Evolution, vol. 4, no. 4. Springer Nature, pp. 612–625, 2020.

I. Tomanek, “The evolution of gene expression by copy number and point mutations,” Institute of Science and Technology Austria, 2020.

H. Chassin, M. Müller, M. Tigges, L. Scheller, M. Lang, and M. Fussenegger, “A modular degron library for synthetic circuits in mammalian cells,” Nature Communications, vol. 10, no. 1. Springer Nature, 2019.

C. Igler and S. T. Abedon, “Commentary: A host-produced quorum-sensing autoinducer controls a phage lysis-lysogeny decision,” Frontiers in Microbiology, vol. 10. Frontiers, 2019.

J. Ruess, M. Pleska, C. C. Guet, and G. Tkadik, “Molecular noise of innate immunity shapes bacteria-phage ecologies,” PLoS Computational Biology, vol. 15, no. 7. Public Library of Science, 2019.

J. Ruess, M. Pleska, C. C. Guet, and G. Tkadik, “Supporting text and results.” Public Library of Science, 2019.

C. C. Guet, T. A. Henzinger, C. Igler, T. Petrov, and A. Sezgin, “Transient memory in gene regulation,” in 17th International Conference on Computational Methods in Systems Biology, Trieste, Italy, 2019, vol. 11773, pp. 155–187.

N. Nikolic, “Autoregulation of bacterial gene expression: lessons from the MazEF toxin–antitoxin system,” Current Genetics, vol. 65, no. 1. Springer, pp. 133–138, 2019.

M. Lang and M. Shkolnikov, “Harmonic dynamics of the Abelian sandpile,” Proceedings of the National Academy of Sciences, vol. 116, no. 8. National Academy of Sciences, pp. 2821–2830, 2019.

I. Tomanek, “Data for the paper ‘Gene amplification as a form of population-level gene expression regulation.’” Institute of Science and Technology Austria, 2019.

C. Igler, “On the nature of gene regulatory design - The biophysics of transcription factor binding shapes gene regulation,” Institute of Science and Technology Austria, 2019.

P. Misun, A. Birchler, M. Lang, A. Hierlemann, and O. Frey, “Fabrication and operation of microfluidic hanging drop networks,” Methods in Molecular Biology, vol. 1771. Springer, pp. 183–202, 2018.

P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “How to escape local optima in black box optimisation when non elitism outperforms elitism,” Algorithmica, vol. 80, no. 5. Springer, pp. 1604–1633, 2018.

K. Tomasek, T. Bergmiller, and C. C. Guet, “Lack of cations in flow cytometry buffers affect fluorescence signals by reducing membrane stability and viability of Escherichia coli strains,” Journal of Biotechnology, vol. 268. Elsevier, pp. 40–52, 2018.

W. Chaudhry et al., “Leaky resistance and the conditions for the existence of lytic bacteriophage,” PLoS Biology, vol. 16, no. 8. Public Library of Science, 2018.

W. Chaudhry et al., “Numerical data used in figures.” Public Library of Science, 2018.

M. Pleska, M. Lang, D. Refardt, B. Levin, and C. C. Guet, “Phage-host population dynamics promotes prophage acquisition in bacteria with innate immunity,” Nature Ecology and Evolution, vol. 2, no. 2. Springer Nature, pp. 359–366, 2018.

M. Morri et al., “Optical functionalization of human class A orphan G-protein-coupled receptors,” Nature Communications, vol. 9, no. 1. Springer Nature, 2018.

A. Palmer, R. P. Chait, and R. Kishony, “Nonoptimal gene expression creates latent potential for antibiotic resistance,” Molecular Biology and Evolution, vol. 35, no. 11. Oxford University Press, pp. 2669–2684, 2018.

N. Nikolic, T. Bergmiller, A. Vandervelde, T. Albanese, L. Gelens, and I. Moll, “Autoregulation of mazEF expression underlies growth heterogeneity in bacterial populations,” Nucleic Acids Research, vol. 46, no. 6. Oxford University Press, pp. 2918–2931, 2018.

T. Bergmiller and N. Nikolic, “Time-lapse microscopy data.” Institute of Science and Technology Austria, 2018.

D. De Martino, A. A. Mc, T. Bergmiller, C. C. Guet, and G. Tkadik, “Statistical mechanics for metabolic networks during steady state growth,” Nature Communications, vol. 9, no. 1. Springer Nature, 2018.

M. Steinrück, “The influence of sequence context on the evolution of bacterial gene expression,” Institute of Science and Technology Austria, 2018.

C. Igler, M. Lagator, G. Tkadik, J. P. Bollback, and C. C. Guet, “Evolutionary potential of transcription factors for gene regulatory rewiring,” Nature Ecology and Evolution, vol. 2, no. 10. Nature Publishing Group, pp. 1633–1643, 2018.

C. Igler, M. Lagator, G. Tkadik, J. P. Bollback, and C. C. Guet, “Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring.” Institute of Science and Technology Austria, 2018.

S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, and H. L. Janovjak, “Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen,” Angewandte Chemie, vol. 129, no. 16. Wiley, pp. 4679–4682, 2017.

M. Lagator, S. Sarikas, H. Acar, J. P. Bollback, and C. C. Guet, “Regulatory network structure determines patterns of intermolecular epistasis,” eLife, vol. 6. eLife Sciences Publications, 2017.

R. P. Chait, J. Ruess, T. Bergmiller, G. Tkadik, and C. C. Guet, “Shaping bacterial population behavior through computer interfaced control of individual cells,” Nature Communications, vol. 8, no. 1. Nature Publishing Group, 2017.

N. Nikolic, Z. Didara, and I. Moll, “MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia coli populations,” PeerJ, vol. 2017, no. 9. PeerJ, 2017.

T. Renault et al., “Bacterial flagella grow through an injection diffusion mechanism,” eLife, vol. 6. eLife Sciences Publications, 2017.

N. Nikolic et al., “Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial populations,” PLoS Genetics, vol. 13, no. 12. Public Library of Science, 2017.

M. Pleska and C. C. Guet, “Supplementary materials and methods; Full data set from effects of mutations in phage restriction sites during escape from restriction–modification.” The Royal Society, 2017.

N. Nikolic et al., “Mathematical model.” Public Library of Science, 2017.

M. Lukacisinova, S. Novak, and T. Paixao, “Modelling and simulation details.” Public Library of Science, 2017.

M. Lukacisinova, S. Novak, and T. Paixao, “Extensions of the model.” Public Library of Science, 2017.

N. Nikolic et al., “Supplementary methods.” Public Library of Science, 2017.

M. Lukacisinova, S. Novak, and T. Paixao, “Heuristic prediction for multiple stresses.” Public Library of Science, 2017.

M. Lukacisinova, S. Novak, and T. Paixao, “Resistance frequencies for different combination strategies.” Public Library of Science, 2017.

N. Nikolic et al., “Source data for figures and tables.” Public Library of Science, 2017.

M. Pleska and C. C. Guet, “Effects of mutations in phage restriction sites during escape from restriction–modification,” Biology Letters, vol. 13, no. 12. The Royal Society, 2017.

M. Pleska, “Biology of restriction-modification systems at the single-cell and population level,” Institute of Science and Technology Austria, 2017.

M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov, “Model checking the evolution of gene regulatory networks,” Acta Informatica, vol. 54, no. 8. Springer, pp. 765–787, 2017.

T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “Towards a runtime comparison of natural and artificial evolution,” Algorithmica, vol. 78, no. 2. Springer, pp. 681–713, 2017.

C. Fang et al., “Insulation and wiring specificity of BceR like response regulators and their target promoters in Bacillus subtilis,” Molecular Microbiology, vol. 104, no. 1. Wiley-Blackwell, pp. 16–31, 2017.

M. Lagator, T. Paixao, N. H. Barton, J. P. Bollback, and C. C. Guet, “On the mechanistic nature of epistasis in a canonical cis-regulatory element,” eLife, vol. 6. eLife Sciences Publications, 2017.

M. Lang and E. Sontag, “Zeros of nonlinear systems with input invariances,” Automatica, vol. 81C. International Federation of Automatic Control, pp. 46–55, 2017.

M. Steinrück and C. C. Guet, “Fastq files for ‘Complex chromosomal neighborhood effects determine the adaptive potential of a gene under selection.’” Institute of Science and Technology Austria, 2017.

T. Bergmiller et al., “Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity.” Institute of Science and Technology Austria, 2017.

T. Bergmiller et al., “Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity,” Science, vol. 356, no. 6335. American Association for the Advancement of Science, pp. 311–315, 2017.

S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, and H. L. Janovjak, “Green-light-induced inactivation of receptor signaling using cobalamin-binding domains,” Angewandte Chemie - International Edition, vol. 56, no. 16. Wiley-Blackwell, pp. 4608–4611, 2017.

M. Steinrück and C. C. Guet, “Complex chromosomal neighborhood effects determine the adaptive potential of a gene under selection,” eLife, vol. 6. eLife Sciences Publications, 2017.

M. Lukacisinova, S. Novak, and T. Paixao, “Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes,” PLoS Computational Biology, vol. 13, no. 7. Public Library of Science, 2017.

V. Barone et al., “An effective feedback loop between cell-cell contact duration and morphogen signaling determines cell fate,” Developmental Cell, vol. 43, no. 2. Cell Press, pp. 198–211, 2017.

R. Gnügge, L. Dharmarajan, M. Lang, and J. Stelling, “An orthogonal permease–inducer–repressor feedback loop shows bistability,” ACS Synthetic Biology, vol. 5, no. 10. American Chemical Society, pp. 1098–1107, 2016.

M. Lang and J. Stelling, “Modular parameter identification of biomolecular networks,” SIAM Journal on Scientific Computing, vol. 38, no. 6. Society for Industrial and Applied Mathematics , pp. 8–08, 2016.

G. Miki, A. Stoll, J. Bevirt, R. Grah, and M. Moore, “Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency,” presented at the AIAA: Aviation Technology, Integration, and Operations Conference, Washington, D.C., USA, 2016, pp. 1–19.

L. Stone, M. Baym, T. Lieberman, R. P. Chait, J. Clardy, and R. Kishony, “Compounds that select against the tetracycline-resistance efflux pump,” Nature Chemical Biology, vol. 12, no. 11. Nature Publishing Group, pp. 902–904, 2016.

M. Lang and E. Sontag, “Scale-invariant systems realize nonlinear differential operators,” presented at the ACC: American Control Conference, Boston, MA, USA, 2016, vol. 2016–July.

R. P. Chait, A. Palmer, I. Yelin, and R. Kishony, “Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments,” Nature Communications, vol. 7. Nature Publishing Group, 2016.

M. Baym et al., “Spatiotemporal microbial evolution on antibiotic landscapes,” Science, vol. 353, no. 6304. American Association for the Advancement of Science, pp. 1147–1151, 2016.

P. Oliveto, T. Paixao, J. Heredia, D. Sudholt, and B. Trubenova, “When non-elitism outperforms elitism for crossing fitness valleys,” in Proceedings of the Genetic and Evolutionary Computation Conference 2016 , Denver, CO, USA, 2016, pp. 1163–1170.

T. Paixao and N. H. Barton, “The effect of gene interactions on the long-term response to selection,” PNAS, vol. 113, no. 16. National Academy of Sciences, pp. 4422–4427, 2016.

M. Lagator, C. Igler, A. Moreno, C. C. Guet, and J. P. Bollback, “Epistatic interactions in the arabinose cis-regulatory element,” Molecular Biology and Evolution, vol. 33, no. 3. Oxford University Press, pp. 761–769, 2016.

A. Beica, C. C. Guet, and T. Petrov, “Efficient reduction of kappa models by static inspection of the rule-set,” presented at the HSB: Hybrid Systems Biology, Madrid, Spain, 2016, vol. 9271, pp. 173–191.

A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, and M. Ackermann, “Genetic manipulation of glycogen allocation affects replicative lifespan in E coli,” PLoS Genetics, vol. 12, no. 4. Public Library of Science, 2016.

A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, and M. Ackermann, “Quantification of the growth rate reduction as a consequence of age-specific mortality.” Public Library of Science, 2016.

S. Wielgoss, T. Bergmiller, A. M. Bischofberger, and A. R. Hall, “Adaptation to parasites and costs of parasite resistance in mutator and nonmutator bacteria,” Molecular Biology and Evolution, vol. 33, no. 3. Oxford University Press, pp. 770–782, 2016.

P. Daca, T. A. Henzinger, J. Kretinsky, and T. Petrov, “Linear distances between Markov chains,” presented at the CONCUR: Concurrency Theory, Quebec City; Canada, 2016, vol. 59.

P. Daca, T. A. Henzinger, J. Kretinsky, and T. Petrov, “Faster statistical model checking for unbounded temporal properties,” presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, Eindhoven, The Netherlands, 2016, vol. 9636, pp. 112–129.

M. Pleska et al., “Bacterial autoimmunity due to a restriction-modification system,” Current Biology, vol. 26, no. 3. Cell Press, pp. 404–409, 2016.

T. Friedlander, R. Prizak, C. C. Guet, N. H. Barton, and G. Tkadik, “Intrinsic limits to gene regulation by global crosstalk,” Nature Communications, vol. 7. Nature Publishing Group, 2016.

T. Paixao, D. Sudholt, J. Heredia, and B. Trubenova, “First steps towards a runtime comparison of natural and artificial evolution,” in Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, 2015, pp. 1455–1462.

T. Paixao et al., “Toward a unifying framework for evolutionary processes,”  Journal of Theoretical Biology, vol. 383. Elsevier, pp. 28–43, 2015.

B. Geiger, T. Petrov, G. Kubin, and H. Koeppl, “Optimal Kullback-Leibler aggregation via information bottleneck,” IEEE Transactions on Automatic Control, vol. 60, no. 4. IEEE, pp. 1010–1022, 2015.

M. Tugrul, T. Paixao, N. H. Barton, and G. Tkadik, “Other fitness models for comparison &; for interacting TFBSs.” Public Library of Science, 2015.