Marta Lukacisinova

Bollenbach Group

12 Publications

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[12]
2020 | Journal Article | IST-REx-ID: 8037 | OA
Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance
M. Lukacisinova, B. Fernando, M.T. Bollenbach, Nature Communications 11 (2020).
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[11]
2018 | Thesis | IST-REx-ID: 6263 | OA
Genetic determinants of antibiotic resistance evolution
M. Lukacisinova, Genetic Determinants of Antibiotic Resistance Evolution, Institute of Science and Technology Austria, 2018.
[Published Version] View | Files available | DOI
 
[10]
2017 | Research Data Reference | IST-REx-ID: 9849
Modelling and simulation details
M. Lukacisinova, S. Novak, T. Paixao, (2017).
[Published Version] View | Files available | DOI
 
[9]
2017 | Research Data Reference | IST-REx-ID: 9850
Extensions of the model
M. Lukacisinova, S. Novak, T. Paixao, (2017).
[Published Version] View | Files available | DOI
 
[8]
2017 | Research Data Reference | IST-REx-ID: 9851
Heuristic prediction for multiple stresses
M. Lukacisinova, S. Novak, T. Paixao, (2017).
[Published Version] View | Files available | DOI
 
[7]
2017 | Research Data Reference | IST-REx-ID: 9852
Resistance frequencies for different combination strategies
M. Lukacisinova, S. Novak, T. Paixao, (2017).
[Published Version] View | Files available | DOI
 
[6]
2017 | Journal Article | IST-REx-ID: 696 | OA
Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes
M. Lukacisinova, S. Novak, T. Paixao, PLoS Computational Biology 13 (2017).
[Published Version] View | Files available | DOI
 
[5]
2017 | Journal Article | IST-REx-ID: 1027 | OA
Toward a quantitative understanding of antibiotic resistance evolution
M. Lukacisinova, M.T. Bollenbach, Current Opinion in Biotechnology 46 (2017) 90–97.
[Published Version] View | Files available | DOI | WoS
 
[4]
2015 | Research Data Reference | IST-REx-ID: 9711
Excel file containing the raw data for all figures
G. Chevereau, M. Lukacisinova, T. Batur, A. Guvenek, D.H. Ayhan, E. Toprak, M.T. Bollenbach, (2015).
[Published Version] View | Files available | DOI
 
[3]
2015 | Research Data Reference | IST-REx-ID: 9765
Gene ontology enrichment analysis for the most sensitive gene deletion strains for all drugs
G. Chevereau, M. Lukacisinova, T. Batur, A. Guvenek, D.H. Ayhan, E. Toprak, M.T. Bollenbach, (2015).
[Published Version] View | Files available | DOI
 
[2]
2015 | Journal Article | IST-REx-ID: 1509 | OA
Embryo-lethal phenotypes in early abp1 mutants are due to disruption of the neighboring BSM gene
J. Michalko, M. Lukacisinova, M.T. Bollenbach, J. Friml, F1000 Research 4 (2015).
[Published Version] View | Files available | DOI
 
[1]
2015 | Journal Article | IST-REx-ID: 1619 | OA
Quantifying the determinants of evolutionary dynamics leading to drug resistance
G. Chevereau, M. Lukacisinova, T. Batur, A. Guvenek, D. Ayhan, E. Toprak, M.T. Bollenbach, PLoS Biology 13 (2015).
[Published Version] View | Files available | DOI
 
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12 Publications

Mark all

[12]
2020 | Journal Article | IST-REx-ID: 8037 | OA
Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance
M. Lukacisinova, B. Fernando, M.T. Bollenbach, Nature Communications 11 (2020).
[Published Version] View | Files available | DOI | WoS | PubMed | Europe PMC
 
[11]
2018 | Thesis | IST-REx-ID: 6263 | OA
Genetic determinants of antibiotic resistance evolution
M. Lukacisinova, Genetic Determinants of Antibiotic Resistance Evolution, Institute of Science and Technology Austria, 2018.
[Published Version] View | Files available | DOI
 
[10]
2017 | Research Data Reference | IST-REx-ID: 9849
Modelling and simulation details
M. Lukacisinova, S. Novak, T. Paixao, (2017).
[Published Version] View | Files available | DOI
 
[9]
2017 | Research Data Reference | IST-REx-ID: 9850
Extensions of the model
M. Lukacisinova, S. Novak, T. Paixao, (2017).
[Published Version] View | Files available | DOI
 
[8]
2017 | Research Data Reference | IST-REx-ID: 9851
Heuristic prediction for multiple stresses
M. Lukacisinova, S. Novak, T. Paixao, (2017).
[Published Version] View | Files available | DOI
 
[7]
2017 | Research Data Reference | IST-REx-ID: 9852
Resistance frequencies for different combination strategies
M. Lukacisinova, S. Novak, T. Paixao, (2017).
[Published Version] View | Files available | DOI
 
[6]
2017 | Journal Article | IST-REx-ID: 696 | OA
Stress induced mutagenesis: Stress diversity facilitates the persistence of mutator genes
M. Lukacisinova, S. Novak, T. Paixao, PLoS Computational Biology 13 (2017).
[Published Version] View | Files available | DOI
 
[5]
2017 | Journal Article | IST-REx-ID: 1027 | OA
Toward a quantitative understanding of antibiotic resistance evolution
M. Lukacisinova, M.T. Bollenbach, Current Opinion in Biotechnology 46 (2017) 90–97.
[Published Version] View | Files available | DOI | WoS
 
[4]
2015 | Research Data Reference | IST-REx-ID: 9711
Excel file containing the raw data for all figures
G. Chevereau, M. Lukacisinova, T. Batur, A. Guvenek, D.H. Ayhan, E. Toprak, M.T. Bollenbach, (2015).
[Published Version] View | Files available | DOI
 
[3]
2015 | Research Data Reference | IST-REx-ID: 9765
Gene ontology enrichment analysis for the most sensitive gene deletion strains for all drugs
G. Chevereau, M. Lukacisinova, T. Batur, A. Guvenek, D.H. Ayhan, E. Toprak, M.T. Bollenbach, (2015).
[Published Version] View | Files available | DOI
 
[2]
2015 | Journal Article | IST-REx-ID: 1509 | OA
Embryo-lethal phenotypes in early abp1 mutants are due to disruption of the neighboring BSM gene
J. Michalko, M. Lukacisinova, M.T. Bollenbach, J. Friml, F1000 Research 4 (2015).
[Published Version] View | Files available | DOI
 
[1]
2015 | Journal Article | IST-REx-ID: 1619 | OA
Quantifying the determinants of evolutionary dynamics leading to drug resistance
G. Chevereau, M. Lukacisinova, T. Batur, A. Guvenek, D. Ayhan, E. Toprak, M.T. Bollenbach, PLoS Biology 13 (2015).
[Published Version] View | Files available | DOI
 
Marked Publication(s)

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    Citation Style: Default

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