Nagy-Staron, A. A. (2020). Sequences of gene regulatory network permutations for the article “Local genetic context shapes the function of a gene regulatory network.”https://doi.org/10.15479/AT:ISTA:8951__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:8951 

Grah, R. (2020). Matlab scripts for the Paper: Gene Amplification as a Form of Population-Level Gene Expression regulation. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7383 

Tomanek, I. (2019). Data for the paper “Gene amplification as a form of population-level gene expression regulation.”https://doi.org/10.15479/AT:ISTA:7016__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7016 

Bergmiller, T., &; Nikolic, N. (2018). Time-lapse microscopy data. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:74 

Igler, C., Lagator, M., Tkadik, G., Bollback, J. P., &; Guet, C. C. (2018). Data for the paper Evolutionary potential of transcription factors for gene regulatory rewiring. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:108 

Steinrück, M., &; Guet, C. C. (2017). Fastq files for “Complex chromosomal neighborhood effects determine the adaptive potential of a gene under selection.”https://doi.org/10.15479/AT:ISTA:65__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:65 

Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild, R.,https://doi.org/10.15479/AT:ISTA:53__Guet, C. C. (2017). Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:53