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Lukacisinova, M. (2018). Genetic determinants of antibiotic resistance evolution. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:th1072 
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Lukacisinova, M., Novak, S., &; Paixao, T. (2017). Modelling and simulation details. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005609.s001 
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Lukacisinova, M., Novak, S., &; Paixao, T. (2017). Extensions of the model. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005609.s002 
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Lukacisinova, M., Novak, S., &; Paixao, T. (2017). Heuristic prediction for multiple stresses. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005609.s003 
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Lukacisinova, M., Novak, S., &; Paixao, T. (2017). Resistance frequencies for different combination strategies. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005609.s004 
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Lukacisinova, M., &; Bollenbach, M. T. (2017). Toward a quantitative understanding of antibiotic resistance evolution. Current Opinion in Biotechnology. Elsevier.https://doi.org/10.1016/j.copbio.2017.02.013 
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Chevereau, G., Lukacisinova, M., Batur, T., Guvenek, A., Ayhan, D. H., Toprak, E., &; Bollenbach, M. T. (2015). Gene ontology enrichment analysis for the most sensitive gene deletion strains for all drugs. Public Library of Science.https://doi.org/10.1371/journal.pbio.1002299.s008 
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Michalko, J., Lukacisinova, M., Bollenbach, M. T., &; Friml, J. (2015). Embryo-lethal phenotypes in early ab mutants are due to disruption of the neighboring BSM gene. 00 Research . 00 Research.https://doi.org/10.12688/f1000research.7143.1 
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