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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 

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 

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 

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.”https://doi.org/10.15479/AT:ISTA:45__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:45 

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Leithner, A. F., Eichner, A., Müller, J., Reversat, A., Brown, M., Schwarz, J.,https://doi.org/10.1038/ncb3426__Sixt, M. K. (2016). Diversified actin protrusions promote environmental exploration but are dispensable for locomotion of leukocytes. Nature Cell Biology. Nature Publishing Group.https://doi.org/10.1038/ncb3426 

Sako, K., Pradhan, S., Barone, V., Inglés Prieto, Á., Mueller, P., Ruprecht, V.,https://doi.org/10.1016/j.celrep.2016.06.036__Heisenberg, C.-P. J. (2016). Optogenetic control of nodal signaling reveals a temporal pattern of nodal signaling regulating cell fate specification during gastrulation. Cell Reports. Cell Press.https://doi.org/10.1016/j.celrep.2016.06.036 

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Chatterjee, K., Fu, H., &; Goharshady, A. K. (2016). Termination analysis of probabilistic programs through Positivstellensatz’s (Vol. 9779, pp. 3–22). Presented at the CAV: Computer Aided Verification, Toronto, Canada: Springer.https://doi.org/10.1007/978-3-319-41528-4_1 

Parise, F., Lygeros, J., &; Ruess, J. (2015). Bayesian inference for stochastic individual-based models of ecological systems: a pest control simulation study. Frontiers in Environmental Science. Frontiers.https://doi.org/10.3389/fenvs.2015.00042 

Chatterjee, K., &; Ibsen-Jensen, R. (2015). The value 1 problem under finite-memory strategies for concurrent mean-payoff games. In Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (Vol. 2015, pp. 1018–1029). San Diego, CA, United States: SIAM.https://doi.org/10.1137/1.9781611973730.69 

Yu, L., Scholl, S., Doering, A., Yi, Z., Irani, N., Di Rubbo, S.,https://doi.org/10.1038/nplants.2015.94__Russinova, E. (2015). V-ATPase activity in the TGN/EE is required for exocytosis and recycling in Arabidopsis. Nature Plants. Nature Publishing Group.https://doi.org/10.1038/nplants.2015.94 

Pentina, A., &; Lampert, C. (2015). Lifelong learning with non-i.i.d. tasks (Vol. 2015, pp. 1540–1548). Presented at the NIPS: Neural Information Processing Systems, Montreal, Canada: Neural Information Processing Systems.

Kwitt, R., Huber, S., Niethammer, M., Lin, W., &; Bauer, U. (2015). Statistical topological data analysis-A kernel perspective (Vol. 28, pp. 3070–3078). Presented at the NIPS: Neural Information Processing Systems, Montreal, Canada: Neural Information Processing Systems.

Paixao, T., Sudholt, D., Heredia, J., &; Trubenova, B. (2015). First steps towards a runtime comparison of natural and artificial evolution. In Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation (pp. 1455–1462). Madrid, Spain: ACM.https://doi.org/10.1145/2739480.2754758 

Ferrara, A., Fuchsbauer, G., Liu, B., &; Warinschi, B. (2015). Policy privacy in cryptographic access control (pp. 46–60). Presented at the CSF: Computer Security Foundations, Verona, Italy: IEEE.https://doi.org/10.1109/CSF.2015.11 

Reininghaus, J., Huber, S., Bauer, U., &; Kwitt, R. (2015). A stable multi-scale kernel for topological machine learning (pp. 4741–4748). Presented at the CVPR: Computer Vision and Pattern Recognition, Boston, MA, USA: IEEE.https://doi.org/10.1109/CVPR.2015.7299106 

Dragoi, C., Henzinger, T. A., &; Zufferey, D. (2015). The need for language support for fault-tolerant distributed systems. Presented at the SNAPL: Summit oN Advances in Programming Languages, Asilomar, CA, United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SNAPL.2015.90 

Andergassen, D., Dotter, C., Kulinski, T., Guenzl, P., Bammer, P., Barlow, D.,https://doi.org/10.1093/nar/gkv727__Hudson, Q. (2015). Allelome.PRO, a pipeline to define allele-specific genomic features from high-throughput sequencing data. Nucleic Acids Research. Oxford University Press.https://doi.org/10.1093/nar/gkv727