Fluid dynamics during bleb formation in migrating cells in vivo
M. Goudarzi, A. Boquet-Pujadas, J.C. Olivo-Marin, E. Raz, PLOS ONE 14 (2019).

Estimating information flow in single cells
S.A. Cepeda Humerez, Estimating Information Flow in Single Cells, Institute of Science and Technology Austria, 2019.

Coevolution of transcription factors and their binding sites in sequence space
R. Prizak, Coevolution of Transcription Factors and Their Binding Sites in Sequence Space, Institute of Science and Technology Austria, 2019.

On derived equivalences of k3 surfaces in positive characteristic
T.K. Srivastava, Documenta Mathematica 24 (2019) 1135–1177.

Limit law of a second class particle in TASEP with non-random initial condition
P. Ferrari, P. Ghosal, P. Nejjar, Annales de l’institut Henri Poincare (B) Probability and Statistics 55 (2019) 1203–1225.

An Austrian proposal for the classification of Open Access Tuples (COAT) - distinguish different open access types beyond colors
P. Danowski, Mitteilungen Der Vereinigung Österreichischer Bibliothekarinnen Und Bibliothekare 72 (2019) 59–65.

Location of the spectrum of Kronecker random matrices
J. Alt, L. Erdös, T.H. Krüger, Y. Nemish, Annales de l’institut Henri Poincare 55 (2019) 661–696.

The Airn lncRNA does not require any DNA elements within its locus to silence distant imprinted genes
D. Andergassen, M. Muckenhuber, P.C. Bammer, T.M. Kulinski, H.-C. Theussl, T. Shimizu, J.M. Penninger, F. Pauler, Q.J. Hudson, PLoS Genetics 15 (2019).

Non-equilibrium critical dynamics of bursts in ;8 and ;4 rhythms as fundamental characteristic of sleep and wake micro-architecture
J.W.J.L. Wang, F. Lombardi, X. Zhang, C. Anaclet, P.C. Ivanov, PLoS Computational Biology 15 (2019).

Towards understanding knowledge distillation
M. Phuong, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 5142–5151.

Robust learning from untrusted sources
N.H. Konstantinov, C. Lampert, in:, Proceedings of the 36th International Conference on Machine Learning, ML Research Press, 2019, pp. 3488–3498.

Salicylic acid-mediated plasmodesmal closure via Remorin-dependent lipid organization
D. Huang, Y. Sun, Z. Ma, M. Ke, Y. Cui, Z. Chen, C. Chen, C. Ji, T. Tran, L. Yang, S. Lam, Y. Han, G. Shu, J. Friml, Y. Miao, L. Jiang, X. Chen, Proceedings of the National Academy of Sciences of the United States of America 116 (2019) 21274–21284.

On the power to detect rare recombination events
A.E. Wright, I. Darolti, N.I. Bloch, V. Oostra, B.A. Sandkam, S.D. Buechel, N. Kolm, F. Breden, B. Vicoso, J.E. Mank, Proceedings of the National Academy of Sciences of the United States of America 116 (2019) 12607–12608.

Mating system variation in hybrid zones: Facilitation, barriers and asymmetries to gene flow
M. Pickup, N.H. Barton, Y. Brandvain, C. Fraisse, S. Yakimowski, T. Dixit, C. Lexer, E. Cereghetti, D. Field, New Phytologist 224 (2019) 1035–1047.

Custom-size, functional, and durable DNA origami with design-specific scaffolds
E. FAS, F.M. Praetorius, C. Wachauf, G. Brüggenthies, F. Kohler, B. Kick, K. Kadletz, P. Pham, K. Behler, T. Gerling, H. Dietz, ACS Nano 13 (2019) 5015–5027.

The crossing Tverberg theorem
R. Fulek, B. Gärtner, A. Kupavskii, P. Valtr, U. Wagner, in:, 35th International Symposium on Computational Geometry, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, p. 38:1-38:13.

Why extension-based proofs fail
D.-A. Alistarh, J. Aspnes, F. Ellen, R. Gelashvili, L. Zhu, in:, Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, ACM Press, 2019, pp. 986–996.

Token swapping on trees
A. Biniaz, K. Jain, A. Lubiw, Z. Masárová, T. Miltzow, D. Mondal, A.M. Naredla, J. Tkadlec, A. Turcotte, ArXiv (n.d.).

Sex-biased gene expression and dosage compensation on the Artemia franciscana Z-chromosome
A.K. Huylmans, M.A. Toups, A. Macon, W.J. Gammerdinger, B. Vicoso, Genome Biology and Evolution 11 (2019) 1033–1044.

Data for the paper "Gene amplification as a form of population-level gene expression regulation"
I. Tomanek, (2019).