Pokusaeva, V., Usmanova, D. R., Putintseva, E. V., Espinar, L., Sarkisyan, K., Mishin, A. S.,https://doi.org/10.1371/journal.pgen.1008079.s011__Kondrashov, F. (2019). A statistical summary of segment libraries and sequencing results. Public Library of Science.https://doi.org/10.1371/journal.pgen.1008079.s011 

Pokusaeva, V., Usmanova, D. R., Putintseva, E. V., Espinar, L., Sarkisyan, K., Mishin, A. S.,https://doi.org/10.1371/journal.pgen.1008079.s011__Kondrashov, F. (2019). A statistical summary of segment libraries and sequencing results. Public Library of Science.https://doi.org/10.1371/journal.pgen.1008079.s011 

Pokusaeva, V., Usmanova, D. R., Putintseva, E. V., Espinar, L., Sarkisyan, K., Mishin, A. S.,https://doi.org/10.1371/journal.pgen.1008079.s010__Kondrashov, F. (2019). Multiple alignment of Hi orthologues. Public Library of Science.https://doi.org/10.1371/journal.pgen.1008079.s010 

Castro, J. P., Yancoskie, M. N., Marchini, M., Belohlavy, S., Hiramatsu, L., Kudka, M.,https://doi.org/10.5061/dryad.0q2h6tk__Chan, Y. F. (2019). Data from: An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice. Dryad.https://doi.org/10.5061/dryad.0q2h6tk 

Sachdeva, H. (2019). Data from: Effect of partial selfing and polygenic selection on establishment in a new habitat. Dryad.https://doi.org/10.5061/dryad.8tp0900 

Ruess, J., Pleska, M., Guet, C. C., &; Tkadik, G. (2019). Supporting text and results. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1007168.s001 

Puixeu Sala, G., Pickup, M., Field, D., &; Barrett, S. C. H. (2019). Data from: Variation in sexual dimorphism in a wind-pollinated plant: the influence of geographical context and life-cycle dynamics. Dryad.https://doi.org/10.5061/dryad.n1701c9 

Sigalova, O., Chaplin, A., Bochkareva, O., Shelyakin, P., Filaretov, V., Akkuratov, E.,https://doi.org/10.6084/m9.figshare.9808772.v1__Gelfand, M. S. (2019). Additional file 11 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808772.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808760.v1__Gelfand, M. S. (2019). Additional file 10 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808760.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808850.v1__Gelfand, M. S. (2019). Additional file 20 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808850.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808802.v1__Gelfand, M. S. (2019). Additional file 15 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808802.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808814.v1__Gelfand, M. S. (2019). Additional file 16 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808814.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808820.v1__Gelfand, M. S. (2019). Additional file 17 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808820.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808826.v1__Gelfand, M. S. (2019). Additional file 18 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808826.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808835.v1__Gelfand, M. S. (2019). Additional file 19 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808835.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808841.v1__Gelfand, M. S. (2019). Additional file 1 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808841.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808859.v1__Gelfand, M. S. (2019). Additional file 21 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808859.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808907.v1__Gelfand, M. S. (2019). Additional file 9 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808907.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808865.v1__Gelfand, M. S. (2019). Additional file 2 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808865.v1 

Sigalova, O. M., Chaplin, A. V., Bochkareva, O., Shelyakin, P. V., Filaretov, V. A., Akkuratov, E. E.,https://doi.org/10.6084/m9.figshare.9808886.v1__Gelfand, M. S. (2019). Additional file 5 of Chlamydia pan-genomic analysis reveals balance between host adaptation and selective pressure to genome reduction. Springer Nature.https://doi.org/10.6084/m9.figshare.9808886.v1 

Johannesson, K., Zagrodzka, Z., Faria, R., Westram, A. M., &; Butlin, R. (2019). Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes? Dryad.https://doi.org/10.5061/DRYAD.TB2RBNZWK 

Barton, N. H. (2019). Data from: The consequences of an introgression event. Dryad.https://doi.org/10.5061/dryad.2kb6fh4 

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 

Guseinov, R. (2019). Supplementary data for “Programming temporal morphing of self-actuated shells.”https://doi.org/10.15479/AT:ISTA:7154__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7154 

Vicoso, B. (2019). Supplementary data for “Sex-biased gene expression and dosage compensation on the Artemia franciscana Z-chromosome”https://doi.org/10.15479/AT:ISTA:6060__(Huylman, Toups et al., 2019). . Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6060 

Dotter, C., &; Novarino, G. (2019). Supplementary data for the research paper “Haploinsufficiency of the intellectual disability gene SET disturbs developmental gene expression and cognition.”https://doi.org/10.15479/AT:ISTA:6074__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6074 

Nardin, M. (2019). Supplementary Code and Data for the paper “The Entorhinal Cognitive Map is Attracted to Goals.”https://doi.org/10.15479/AT:ISTA:6062__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:6062 

Faria, R., Chaube, P., Morales, H. E., Larsson, T., Lemmon, A. R., Lemmon, E. M.,https://doi.org/10.5061/dryad.72cg113__Butlin, R. K. (2018). Data from: Multiple chromosomal rearrangements in a hybrid zone between Littorina saxatilis ecotypes. Dryad.https://doi.org/10.5061/dryad.72cg113 

Garriga, E., di Tommaso, P., Magis, C., Erb, I., Mansouri, L., Baltzis, A.,https://doi.org/10.5281/ZENODO.2025846__Notredame, C. (2018). Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method. Zenodo.https://doi.org/10.5281/ZENODO.2025846 

Payne, P., Geyrhofer, L., Barton, N. H., &; Bollback, J. P. (2018). Data from: CRISPR-based herd immunity limits phage epidemics in bacterial populations. Dryad.https://doi.org/10.5061/dryad.42n44 

Bodova, K., Priklopil, T., Field, D., Barton, N. H., &; Pickup, M. (2018). Supplemental material for Bodova et al., 2018. Genetics Society of America.https://doi.org/10.25386/genetics.6148304.v1 

Harrison, M. C., Jongepier, E., Robertson, H. M., Arning, N., Bitard-Feildel, T., Chao, H.,https://doi.org/10.5061/dryad.51d4r__Bornberg-Bauer, E. (2018). Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality. Dryad.https://doi.org/10.5061/dryad.51d4r 

Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J.,https://doi.org/10.1371/journal.pbio.2005971.s008__Levin, B. (2018). Numerical data used in figures. Public Library of Science.https://doi.org/10.1371/journal.pbio.2005971.s008 

Zapata, L., Pich, O., Serrano, L., Kondrashov, F., Ossowski, S., &; Schaefer, M. (2018). Additional file 2: Of negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome. Springer Nature.https://doi.org/10.6084/m9.figshare.6401414.v1 

Zapata, L., Pich, O., Serrano, L., Kondrashov, F., Ossowski, S., &; Schaefer, M. (2018). Additional file 1: Of negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome. Springer Nature.https://doi.org/10.6084/m9.figshare.6401390.v1 

Higareda Almaraz, J., Karbiener, M., Giroud, M., Pauler, F., Gerhalter, T., Herzig, S., &; Scheideler, M. (2018). Additional file 1: Of Norepinephrine triggers an immediate-early regulatory network response in primary human white adipocytes. Springer Nature.https://doi.org/10.6084/m9.figshare.7295339.v1 

Higareda Almaraz, J., Karbiener, M., Giroud, M., Pauler, F., Gerhalter, T., Herzig, S., &; Scheideler, M. (2018). Additional file 3: Of Norepinephrine triggers an immediate-early regulatory network response in primary human white adipocytes. Springer Nature.https://doi.org/10.6084/m9.figshare.7295369.v1 

Bod’Ová, K., Mitchell, G., Harpaz, R., Schneidman, E., &; Tkadik, G. (2018). Implementation of the inference method in Matlab. Public Library of Science.https://doi.org/10.1371/journal.pone.0193049.s001 

Kaucka, M., Petersen, J., Tesarova, M., Szarowska, B., Kastriti, M. E., Xie, M.,https://doi.org/10.5061/dryad.f1s76f2__Adameyko, I. (2018). Data from: Signals from the brain and olfactory epithelium control shaping of the mammalian nasal capsule cartilage. Dryad.https://doi.org/10.5061/dryad.f1s76f2 

Westram, A. M., Rafajlovi, M., Chaube, P., Faria, R., Larsson, T., Panova, M.,https://doi.org/10.5061/dryad.bp25b65__Butlin, R. (2018). Data from: Clines on the seashore: the genomic architecture underlying rapid divergence in the face of gene flow. Dryad.https://doi.org/10.5061/dryad.bp25b65 

Hollander, J., Montaño-Rendón, M., Bianco, G., Yang, X., Westram, A. M., Duvaux, L.,https://doi.org/10.5061/dryad.51sd2p5__Butlin, R. K. (2018). Data from: Are assortative mating and genital divergence driven by reinforcement? Dryad.https://doi.org/10.5061/dryad.51sd2p5 

Stroeymeyt, N., Grasse, A. V., Crespi, A., Mersch, D., Cremer, S., &; Keller, L. (2018). Social network plasticity decreases disease transmission in a eusocial insect. Zenodo.https://doi.org/10.5281/ZENODO.1322669 

Alhaija, H., Sellent, A., Kondermann, D., &; Rother, C. (2018). Graph matching problems for GraphFlow – 6D Large Displacement Scene Flow. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:82 

Villányi, M. (2018). Emerald Austrian Publications 2013-2017. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:89 

Villányi, M. (2018). IOP Austrian Publications 2012-2015. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:90 

Villányi, M. (2018). Data Check IOP Scopus vs. Publisher. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:86 

Hauschild, R. (2018). Fluorescence lifetime analysis of FLIMhttps://doi.org/10.15479/AT:ISTA:0113__TCSPC data. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:0113 

Villányi, M. (2018). Taylor&;Francis Austrian Publications 2013-2017. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:94 

Villányi, M. (2018). Springer Austrian Publications 2013-2016. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:93 

Villányi, M. (2018). SAGE Austrian Publications 2013-2017. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:92 

Villányi, M. (2018). RSC Austrian Publications 2013-2017. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:91 

Villányi, M. (2018). Data Check T&;F Scopus vs. FWF. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:88 

Villányi, M. (2018). Data Check RSC Scopus vs. FWF. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:87 

Deny, S., Marre, O., Botella-Soler, V., Martius, G. S., &; Tkadik, G. (2018). Nonlinear decoding of a complex movie from the mammalian retina. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:98 

Vicoso, B. (2018). Input files and scripts from “Evolution of gene dosage on the Z-chromosome of schistosome parasites”https://doi.org/10.15479/AT:ISTA:109__by Picard M.A.L., et al (2018). Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:109 

Ellis, T. (2018). Data and Python scripts supporting Python package FAPS. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:95 

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

De Martino, D., &; Tkadik, G. (2018). Supporting materials “STATISTICAL MECHANICS FOR METABOLIC NETWORKS IN STEADY-STATE GROWTH.”https://doi.org/10.15479/AT:ISTA:62__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:62 

Fraisse, C. (2018). Supplementary Files for “Pleiotropy modulates the efficacy of selection in Drosophila melanogaster.”https://doi.org/10.15479/at:ista:/5757__Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:/5757 

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 

Prentice, J., Marre, O., Ioffe, M., Loback, A., Tkadik, G., &; Berry, M. (2017). Data from: Error-robust modes of the retinal population code. Dryad.https://doi.org/10.5061/dryad.1f1rc 

Pleska, M., &; Guet, C. C. (2017). Supplementary materials and methods; Full data set from effects of mutations in phage restriction sites during escape from restriction–modification. The Royal Society.https://doi.org/10.6084/m9.figshare.5633917.v1 

Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann, S.,https://doi.org/10.1371/journal.pgen.1007122.s017__Ackermann, M. (2017). Mathematical model. Public Library of Science.https://doi.org/10.1371/journal.pgen.1007122.s017 

Lukacisinova, M., Novak, S., &; Paixao, T. (2017). Modelling and simulation details. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005609.s001 

Lukacisinova, M., Novak, S., &; Paixao, T. (2017). Extensions of the model. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005609.s002 

Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann, S.,https://doi.org/10.1371/journal.pgen.1007122.s016__Ackermann, M. (2017). Supplementary methods. Public Library of Science.https://doi.org/10.1371/journal.pgen.1007122.s016 

Lukacisinova, M., Novak, S., &; Paixao, T. (2017). Heuristic prediction for multiple stresses. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005609.s003 

Lukacisinova, M., Novak, S., &; Paixao, T. (2017). Resistance frequencies for different combination strategies. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005609.s004 

Chalk, M. J., Masset, P., Gutkin, B., &; Denève, S. (2017). Supplementary appendix. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005582.s001 

Riccio, P., Cebrián, C., Zong, H., Hippenmeyer, S., &; Costantini, F. (2017). Data from: Ret and Et promote directed movements of progenitor cells during renal branching morphogenesis. Dryad.https://doi.org/10.5061/dryad.pk16b 

Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann, S.,https://doi.org/10.1371/journal.pgen.1007122.s018__Ackermann, M. (2017). Source data for figures and tables. Public Library of Science.https://doi.org/10.1371/journal.pgen.1007122.s018 

Etheridge, A., &; Barton, N. H. (2017). Data for: Establishment in a new habitat by polygenic adaptation. Mendeley Data.https://doi.org/10.17632/nw68fxzjpm.1 

Argyridou, E., Huylmans, A. K., Königer, A., &; Parsch, J. (2017). Data from: X-linkage is not a general inhibitor of tissue-specific gene expression in Drosophila melanogaster. Dryad.https://doi.org/10.5061/dryad.02f6r 

Greenwood, J., Milutinovic, B., Peuß, R., Behrens, S., Essar, D., Rosenstiel, P.,https://doi.org/10.6084/m9.figshare.c.3756974_d1.v1__Kurtz, J. (2017). Additional file 1: Table . of Oral immune priming with Bacillus thuringiensis induces a shift in the gene expression of Tribolium castaneum larvae. Springer Nature.https://doi.org/10.6084/m9.figshare.c.3756974_d1.v1 

Greenwood, J., Milutinovic, B., Peuß, R., Behrens, S., Essar, D., Rosenstiel, P.,https://doi.org/10.6084/m9.figshare.c.3756974_d5.v1__Kurtz, J. (2017). Additional file 5: Table . of Oral immune priming with Bacillus thuringiensis induces a shift in the gene expression of Tribolium castaneum larvae. Springer Nature.https://doi.org/10.6084/m9.figshare.c.3756974_d5.v1 

Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I.,https://doi.org/10.1371/journal.pbio.2001894.s016__Turelli, M. (2017). Excel file with data on mosquito densities, Wolbachia infection status and housing characteristics. Public Library of Science.https://doi.org/10.1371/journal.pbio.2001894.s016 

Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I.,https://doi.org/10.1371/journal.pbio.2001894.s015__Turelli, M. (2017). Supporting information concerning observed wMel frequencies and analyses of habitat variables. Public Library of Science .https://doi.org/10.1371/journal.pbio.2001894.s015 

Schmidt, T., Barton, N. H., Rasic, G., Turley, A., Montgomery, B., Iturbe Ormaetxe, I.,https://doi.org/10.1371/journal.pbio.2001894.s014__Turelli, M. (2017). Supporting Information concerning additional likelihood analyses and results. Public Library of Science.https://doi.org/10.1371/journal.pbio.2001894.s014 

Giehr, J., Grasse, A. V., Cremer, S., Heinze, J., &; Schrempf, A. (2017). Raw data from ant queens increase their reproductive efforts after pathogen infection. The Royal Society.https://doi.org/10.6084/m9.figshare.5117788.v1 

Marre, O., Tkadik, G., Amodei, D., Schneidman, E., Bialek, W., &; Berry, M. (2017). Multi-electrode array recording from salamander retinal ganglion cells. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:61 

Kainmueller, D., Jug, F., Rother, C., &; Meyers, G. (2017). Graph matching problems for annotating C. Elegans. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:57 

Lukacisin, M. (2017). 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:64__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:64 

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 

Hahn, D. (2017). Source codes: Brittle fracture simulation with boundary elements for computer graphics. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:73 

Fraisse, C. (2017). Supplementary Files for “The deep conservation of the Lepidoptera Z chromosome suggests a non canonical origin of the W.”https://doi.org/10.15479/AT:ISTA:7163__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:7163 

Hauschild, R. (2017). Forward migration indexes. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:75 

Leithner, A. F. (2017). Immunological synapse DC-Tcells. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:71 

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 

Vicoso, B. (2017). Data for “The genomic characterization of the t-haplotype, a mouse meiotic driver, highlights its complex history and specialized biology.”https://doi.org/10.15479/AT:ISTA:78__Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:78 

Pavlogiannis, A., Tkadlec, J., Chatterjee, K., &; Nowak , M. (2017). Strong amplifiers of natural selection. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:51 

Vicoso, B. (2017). Code for “The genomic characterization of the t-haplotype, a mouse meiotic driver, highlights its complex history and specialized biology.”https://doi.org/10.15479/AT:ISTA:79 __Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:79  

von Wangenheim, D., Hauschild, R., &; Friml, J. (2017). Light Sheet Fluorescence microscopy of plant roots growing on the surface of a gel. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:66 

Hauschild, R. (2017). Live tracking of moving samples in confocal microscopy for vertically grown roots. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:69 

Mcmahon, D., Fürst, M., Caspar, J., Theodorou, P., Brown, M., &; Paxton, R. (2016). Data from: A sting in the spit: widespread cross-infection of multiple RNA viruses across wild and managed bees. Dryad.https://doi.org/10.5061/dryad.4b565 

Hilbe, C., Hagel, K., &; Milinski, M. (2016). Experimental game instructions. Public Library of Science.https://doi.org/10.1371/journal.pone.0163867.s008 

Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., &; Bierne, N. (2016). Simulation study to test the robustness of ABC in face of recent times of divergence. Public Library of Science.https://doi.org/10.1371/journal.pbio.2000234.s016 

Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., &; Bierne, N. (2016). Accessions of surveyed individuals, geographic locations and summary statistics. Public Library of Science.https://doi.org/10.1371/journal.pbio.2000234.s017 

Zagórski, M. P., Burda, Z., &; Wacaw, B. (2016). ZIP-archived directory containing all data and computer programs. Public Library of Science.https://doi.org/10.1371/journal.pcbi.1005218.s009 

Mcmahon, D., Natsopoulou, M., Doublet, V., Fürst, M., Weging, S., Brown, M.,https://doi.org/10.5061/dryad.cq7t1__Paxton, R. (2016). Data from: Elevated virulence of an emerging viral genotype as a driver of honeybee loss. Dryad.https://doi.org/10.5061/dryad.cq7t1 

Hillenbrand, P., Gerland, U., &; Tkadik, G. (2016). Computation of positional information in an Ising model. Public Library of Science.https://doi.org/10.1371/journal.pone.0163628.s002