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9087 Publications
2016 | Thesis | IST-REx-ID: 1131 |
Tugrul, M. (2016). Evolution of transcriptional regulatory sequences. Institute of Science and Technology Austria.
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2016 | Research Data | IST-REx-ID: 5553 |
Field, D., & Ellis, T. (2016). Inference of mating patterns among wild snapdragons in a natural hybrid zone in 2012. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:37
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2016 | Research Data | IST-REx-ID: 5551 |
Ellis, T. (2016). Data on pollinator observations and offpsring phenotypes. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:35
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2016 | Research Data | IST-REx-ID: 5552 |
Ellis, T. (2016). Pollinator visitation data for wild Antirrhinum majus plants, with phenotypic and frequency data. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:36
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2016 | Research Data | IST-REx-ID: 5554 |
Tugrul, M. (2016). Experimental Data for Binding Site Evolution of Bacterial RNA Polymerase. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:43
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2016 | Research Data | IST-REx-ID: 5558 |
Bojsen-Hansen, M. (2016). Tracking, Correcting and Absorbing Water Surface Waves. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:48
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2016 | Research Data | IST-REx-ID: 5556 |
Lukacisin, M., Landon, M., & Jajoo, R. (2016). MATLAB analysis code for “Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:45
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2016 | Conference Paper | IST-REx-ID: 15245 |
Zhang SN et al. 2016. eXTP: Enhanced X-ray timing and polarization mission. Proceedings of the SPIE. vol. 9905, 99051Q.
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2016 | Conference Paper | IST-REx-ID: 15244 |
Soffitta P et al. 2016. XIPE: The x-ray imaging polarimetry explorer. Space Telescopes and Instrumentation 2016: Ultraviolet to Gamma Ray. Astronomical Telescopes + Instrumentation vol. 9905, 990515.
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2016 | Journal Article | IST-REx-ID: 15242 |
Antolini, E., Caiazzo, I., Davé, R., & Heyl, J. S. (2016). Using galaxy formation simulations to optimize LIGO follow-up observations. Monthly Notices of the Royal Astronomical Society. Oxford University Press. https://doi.org/10.1093/mnras/stw3292
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