7 Publications

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[7]
2020 | Thesis | IST-REx-ID: 8155 | OA
Grah, R. (2020). Gene regulation across scales – how biophysical constraints shape evolution. IST Austria. https://doi.org/10.15479/AT:ISTA:8155
View | Files available | DOI
 
[6]
2020 | Research Data | IST-REx-ID: 7383 | OA
Grah, R. (2020). Matlab scripts for the Paper: Gene Amplification as a Form of Population-Level Gene Expression regulation. IST Austria. https://doi.org/10.15479/AT:ISTA:7383
View | Files available | DOI
 
[5]
2020 | Journal Article | IST-REx-ID: 7569 | OA
Grah, R., & Friedlander, T. (2020). The relation between crosstalk and gene regulation form revisited. PLOS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007642
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[4]
2020 | Journal Article | IST-REx-ID: 7652 | OA
Tomanek, I., Grah, R., Lagator, M., Andersson, A. M. C., Bollback, J. P., Tkačik, G., & Guet, C. C. (2020). Gene amplification as a form of population-level gene expression regulation. Nature Ecology & Evolution. Springer Nature. https://doi.org/10.1038/s41559-020-1132-7
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[3]
2020 | Preprint | IST-REx-ID: 7675 | OA
Grah, R., Zoller, B., & Tkačik, G. (2020). Normative models of enhancer function. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.04.08.029405
View | Files available | DOI | Download Preprint (ext.)
 
[2]
2020 | Journal Article | IST-REx-ID: 9000 | OA
Grah, R., Zoller, B., & Tkačik, G. (2020). Nonequilibrium models of optimal enhancer function. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.2006731117
View | Files available | DOI | PubMed | Europe PMC
 
[1]
2016 | Conference Paper | IST-REx-ID: 1220 | OA
Mikić, G., Stoll, A., Bevirt, J., Grah, R., & Moore, M. (2016). Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency (pp. 1–19). Presented at the AIAA: Aviation Technology, Integration, and Operations Conference, Washington, D.C., USA: AIAA. https://doi.org/10.2514/6.2016-3764
View | DOI | Download Preprint (ext.)
 

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7 Publications

Mark all

[7]
2020 | Thesis | IST-REx-ID: 8155 | OA
Grah, R. (2020). Gene regulation across scales – how biophysical constraints shape evolution. IST Austria. https://doi.org/10.15479/AT:ISTA:8155
View | Files available | DOI
 
[6]
2020 | Research Data | IST-REx-ID: 7383 | OA
Grah, R. (2020). Matlab scripts for the Paper: Gene Amplification as a Form of Population-Level Gene Expression regulation. IST Austria. https://doi.org/10.15479/AT:ISTA:7383
View | Files available | DOI
 
[5]
2020 | Journal Article | IST-REx-ID: 7569 | OA
Grah, R., & Friedlander, T. (2020). The relation between crosstalk and gene regulation form revisited. PLOS Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007642
View | Files available | DOI
 
[4]
2020 | Journal Article | IST-REx-ID: 7652 | OA
Tomanek, I., Grah, R., Lagator, M., Andersson, A. M. C., Bollback, J. P., Tkačik, G., & Guet, C. C. (2020). Gene amplification as a form of population-level gene expression regulation. Nature Ecology & Evolution. Springer Nature. https://doi.org/10.1038/s41559-020-1132-7
View | Files available | DOI
 
[3]
2020 | Preprint | IST-REx-ID: 7675 | OA
Grah, R., Zoller, B., & Tkačik, G. (2020). Normative models of enhancer function. bioRxiv. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2020.04.08.029405
View | Files available | DOI | Download Preprint (ext.)
 
[2]
2020 | Journal Article | IST-REx-ID: 9000 | OA
Grah, R., Zoller, B., & Tkačik, G. (2020). Nonequilibrium models of optimal enhancer function. PNAS. National Academy of Sciences. https://doi.org/10.1073/pnas.2006731117
View | Files available | DOI | PubMed | Europe PMC
 
[1]
2016 | Conference Paper | IST-REx-ID: 1220 | OA
Mikić, G., Stoll, A., Bevirt, J., Grah, R., & Moore, M. (2016). Fuselage boundary layer ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency (pp. 1–19). Presented at the AIAA: Aviation Technology, Integration, and Operations Conference, Washington, D.C., USA: AIAA. https://doi.org/10.2514/6.2016-3764
View | DOI | Download Preprint (ext.)
 

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