Sachdeva, H., Barma, M., &; Rao, M. (2016). Nonequilibrium description of de novo biogenesis and transport through Golgi-like cisternae. Scientific Reports. Nature Publishing Group.https://doi.org/10.1038/srep38840 

Franssen, S., Barton, N. H., &; Schlötterer, C. (2016). Reconstruction of haplotype-blocks selected during experimental evolution. Molecular Biology and Evolution. Oxford University Press.https://doi.org/10.1093/molbev/msw210 

Teitel, Z., Pickup, M., Field, D., &; Barrett, S. (2016). The dynamics of resource allocation and costs of reproduction in a sexually dimorphic, wind-pollinated dioecious plant. Plant Biology. Wiley-Blackwell.https://doi.org/10.1111/plb.12336 

Uecker, H., &; Hermisson, J. (2016). The role of recombination in evolutionary rescue. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.115.180299 

Oliveto, P., Paixao, T., Heredia, J., Sudholt, D., &; Trubenova, B. (2016). When non-elitism outperforms elitism for crossing fitness valleys. In Proceedings of the Genetic and Evolutionary Computation Conference 2016  (pp. 1163–1170). Denver, CO, USA: ACM.https://doi.org/10.1145/2908812.2908909 

Paixao, T., &; Barton, N. H. (2016). The effect of gene interactions on the long-term response to selection. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1518830113 

Barton, N. H. (2016). Sewall Wright on evolution in Mendelian populations and the “Shifting Balance.”https://doi.org/10.1534/genetics.115.184796__Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.115.184796 

Barton, N. H. (2016). Richard Hudson and Norman Kaplan on the coalescent process. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.116.187542 

Abbott, R., Barton, N. H., &; Good, J. (2016). Genomics of hybridization and its evolutionary consequences. Molecular Ecology. Wiley-Blackwell.https://doi.org/10.1111/mec.13685 

Bodova, K., Tkadik, G., &; Barton, N. H. (2016). A general approximation for the dynamics of quantitative traits. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.115.184127 

Lohse, K., Chmelik, M., Martin, S., &; Barton, N. H. (2016). Efficient strategies for calculating blockwise likelihoods under the coalescent. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.115.183814 

Kelleher, J., Etheridge, A., Véber, A., &; Barton, N. H. (2016). Spread of pedigree versus genetic ancestry in spatially distributed populations. Theoretical Population Biology. Academic Press.https://doi.org/10.1016/j.tpb.2015.10.008 

Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., &; Bierne, N. (2016). Shedding light on the grey zone of speciation along a continuum of genomic divergence. PLoS Biology. Public Library of Science.https://doi.org/10.1371/journal.pbio.2000234 

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 

Novak, S. (2016). Evolutionary proccesses in variable emvironments. Institute of Science and Technology Austria.

Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., &; Tkadik, G. (2016). Intrinsic limits to gene regulation by global crosstalk. Nature Communications. Nature Publishing Group.https://doi.org/10.1038/ncomms12307 

Barton, N. H. (2016). Data from: How does epistasis influence the response to selection? Dryad.https://doi.org/10.5061/dryad.s5s7r 

Fernandes Redondo, R. A., de Vladar, H., Wodarski, T., &; Bollback, J. P. (2016). Data from evolutionary interplay between structure, energy and epistasis in the coat protein of the =54 phage family. The Royal Society.https://doi.org/10.6084/m9.figshare.4315652.v1 

Ellis, T., &; Field, D. (2016). Repeated gains in yellow and anthocyanin pigmentation in flower colour transitions in the Antirrhineae. Annals of Botany. Oxford University Press.https://doi.org/10.1093/aob/mcw043 

Ellis, T., &; Field, D. (2016). Flower colour data and phylogeny (NEXUS) files. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:34 

Ellis, T. (2016). The role of pollinator-mediated selection in the maintenance of a flower color polymorphism in an Antirrhinum majus hybrid zone. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:TH_526  

Tugrul, M. (2016). Evolution of transcriptional regulatory sequences. Institute of Science and Technology Austria.

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 

Ellis, T. (2016). Data on pollinator observations and offpsring phenotypes. Institute of Science and Technology Austria.https://doi.org/10.15479/AT:ISTA:35 

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 

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 

Barton, N. H., &; Servedio, M. (2015). The interpretation of selection coefficients. Evolution. Wiley.https://doi.org/10.1111/evo.12641 

Paixao, T., Badkobeh, G., Barton, N. H., Çörüf, D., Dang, D., Friedrich, T.,https://doi.org/10.1016/j.jtbi.2015.07.011__Trubenova, B. (2015). Toward a unifying framework for evolutionary processes. https://doi.org/10.1016/j.jtbi.2015.07.011__Journal of Theoretical Biology. Elsevier.https://doi.org/10.1016/j.jtbi.2015.07.011 

Uecker, H., Setter, D., &; Hermisson, J. (2015). Adaptive gene introgression after secondary contact. Journal of Mathematical Biology. Springer.https://doi.org/10.1007/s00285-014-0802-y 

Broadhurst, L., Fifield, G., Vanzella, B., &; Pickup, M. (2015). An evaluation of the genetic structure of seed sources and the maintenance of genetic diversity during establishment of two yellow box (Eucalyptus melliodora) seed-production areas. Australian Journal of Botany. CSIRO.https://doi.org/10.1071/BT15023 

Polechova, J., &; Barton, N. H. (2015). Limits to adaptation along environmental gradients. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1421515112 

Novak, S., &; Cremer, S. (2015). Fungal disease dynamics in insect societies: Optimal killing rates and the ambivalent effect of high social interaction rates. Journal of Theoretical Biology. Elsevier.https://doi.org/10.1016/j.jtbi.2015.02.018 

Priklopil, T., Kisdi, E., &; Gyllenberg, M. (2015). Evolutionarily stable mating decisions for sequentially searching females and the stability of reproductive isolation by assortative mating. Evolution. Wiley.https://doi.org/10.1111/evo.12618 

Keller-Schmidt, S., Tugrul, M., Eguíluz, V., Hernandez Garcia, E., &; Klemm, K. (2015). Anomalous scaling in an age-dependent branching model. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics.https://doi.org/10.1103/PhysRevE.91.022803 

Trubenova, B., Novak, S., &; Hager, R. (2015). Indirect genetic effects and the dynamics of social interactions. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0126907 

Trubenova, B., Novak, S., &; Hager, R. (2015). Description of the agent based simulations. Public Library of Science.https://doi.org/10.1371/journal.pone.0126907.s003 

Tugrul, M., Paixao, T., Barton, N. H., &; Tkadik, G. (2015). Other fitness models for comparison &; for interacting TFBSs. Public Library of Science.https://doi.org/10.1371/journal.pgen.1005639.s001 

Trubenova, B., Novak, S., &; Hager, R. (2015). Mathematical inference of the results. Public Library of Science.https://doi.org/10.1371/journal.pone.0126907.s001 

Tugrul, M., Paixao, T., Barton, N. H., &; Tkadik, G. (2015). Dynamics of transcription factor binding site evolution. PLoS Genetics. Public Library of Science.https://doi.org/10.1371/journal.pgen.1005639 

Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., &; Petrov, T. (2015). Model checking gene regulatory networks. Presented at the TACAS: Tools and Algorithms for the Construction and Analysis of Systems, London, United Kingdom: Springer.https://doi.org/10.1007/978-3-662-46681-0_47 

Priklopil, T., &; Chatterjee, K. (2015). Evolution of decisions in population games with sequentially searching individuals. Games. MDPI.https://doi.org/10.3390/g6040413 

Kollár, R., Bodova, K., Nosek, J., &; Tomáska, d. (2014). Mathematical model of alternative mechanism of telomere length maintenance. Physical Review E Statistical Nonlinear and Soft Matter Physics. American Institute of Physics.https://doi.org/10.1103/PhysRevE.89.032701 

Ezard, T., Prizak, R., &; Hoyle, R. (2014). The fitness costs of adaptation via phenotypic plasticity and maternal effects. Functional Ecology. Wiley-Blackwell.https://doi.org/10.1111/1365-2435.12207 

Weissman, D., &; Hallatschek, O. (2014). The rate of adaptation in large sexual populations with linear chromosomes. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.113.160705 

Arbilly, M., Weissman, D., Feldman, M., &; Grodzinski, U. (2014). An arms race between producers and scroungers can drive the evolution of social cognition. Behavioral Ecology. Oxford University Press.https://doi.org/10.1093/beheco/aru002 

Trotter, M., Weissman, D., Peterson, G., Peck, K., &; Masel, J. (2014). Cryptic genetic variation can make &;quot;irreducible complexity&;quot; a common mode of adaptation in sexual populations. Evolution. Wiley-Blackwell.https://doi.org/10.1111/evo.12517 

Kelleher, J., Etheridge, A., &; Barton, N. H. (2014). Coalescent simulation in continuous space: Algorithms for large neighbourhood size. Theoretical Population Biology. Academic Press.https://doi.org/10.1016/j.tpb.2014.05.001 

Barton, N. H., Novak, S., &; Paixao, T. (2014). Diverse forms of selection in evolution and computer science. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1410107111 

De Vladar, H., &; Barton, N. H. (2014). Stability and response of polygenic traits to stabilizing selection and mutation. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.113.159111 

Phadke, S., Paixao, T., Pham, T., Pham, S., &; Zufall, R. (2014). Genetic background alters dominance relationships between mat alleles in the ciliate Tetrahymena Thermophila. Journal of Heredity. Oxford University Press.https://doi.org/10.1093/jhered/est063 

Prizak, R., Ezard, T., &; Hoyle, R. (2014). Fitness consequences of maternal and grandmaternal effects. Ecology and Evolution. Wiley-Blackwell.https://doi.org/10.1002/ece3.1150 

Hearn, J., Stone, G., Bunnefeld, L., Nicholls, J., Barton, N. H., &; Lohse, K. (2014). Likelihood-based inference of population history from low-coverage de novo genome assemblies. Molecular Ecology. Wiley-Blackwell.https://doi.org/10.1111/mec.12578 

Novak, S. (2014). Habitat heterogeneities versus spatial type frequency variances as driving forces of dispersal evolution. Ecology and Evolution. Wiley-Blackwell.https://doi.org/10.1002/ece3.1289 

Barton, N. H. (2013). Differentiation. In Encyclopedia of Biodiversity (2nd ed., pp. 508–515). Elsevier.https://doi.org/10.1016/b978-0-12-384719-5.00031-9 

Pickup, M., &; Barrett, S. (2013). The influence of demography and local mating environment on sex ratios in a wind-pollinated dioecious plant. Ecology and Evolution. Wiley-Blackwell.https://doi.org/10.1002/ece3.465 

Barton, N. H., Etheridge, A., Kelleher, J., &; Véber, A. (2013). Genetic hitch-hiking in spatially extended populations. Theoretical Population Biology. Elsevier.https://doi.org/10.1016/j.tpb.2012.12.001 

Barton, N. H., &; Paixao, T. (2013). Can quantitative and population genetics help us understand evolutionary computation? In Proceedings of the 15th annual conference on Genetic and evolutionary computation (pp. 1573–1580). Amsterdam, Netherlands: ACM.https://doi.org/10.1145/2463372.2463568 

Long, H., Paixao, T., Azevedo, R., &; Zufall, R. (2013). Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.113.153536 

Paixao, T., &; Barton, N. H. (2013). A variance decomposition approach to the analysis of genetic algorithms. In Proceedings of the 15th annual conference on Genetic and evolutionary computation (pp. 845–852). Amsterdam, Netherlands: ACM.https://doi.org/10.1145/2463372.2463470 

Novak, S., Chatterjee, K., &; Nowak, M. (2013). Density games. Journal of Theoretical Biology. Elsevier.https://doi.org/10.1016/j.jtbi.2013.05.029 

Pickup, M., Wilson, S., Freudenberger, D., Nicholls, N., Gould, L., Hnatiuk, S., &; Delandre, J. (2013). Post-fire recovery of revegetated woodland communities in south-eastern Australia. Austral Ecology. Wiley-Blackwell.https://doi.org/10.1111/j.1442-9993.2012.02404.x 

Barton, N. H., Etheridge, A., Kelleher, J., &; Véber, A. (2013). Inference in two dimensions: Allele frequencies versus lengths of shared sequence blocks. Theoretical Population Biology. Elsevier.https://doi.org/10.1016/j.tpb.2013.03.001 

Kelleher, J., Barton, N. H., &; Etheridge, A. (2013). Coalescent simulation in continuous space. Bioinformatics. Oxford University Press.https://doi.org/10.1093/bioinformatics/btt067 

Barton, N. H., Etheridge, A., &; Véber, A. (2013). Modelling evolution in a spatial continuum. Journal of Statistical Mechanics Theory and Experiment. IOP Publishing Ltd.https://doi.org/10.1088/1742-5468/2013/01/P01002 

Barton, N. H. (2013). Does hybridisation influence speciation?  . Journal of Evolutionary Biology. Wiley-Blackwell.https://doi.org/10.1111/jeb.12015 

Barton, N. H. (2013). Recombination and sex. In The Princeton Guide to Evolution (pp. 328–333). Princeton University Press.

Pickup, M., Field, D., Rowell, D., &; Young, A. (2013). Source population characteristics affect heterosis following genetic rescue of fragmented plant populations. Proceedings of the Royal Society of London Series B Biological Sciences. Royal Society, The.https://doi.org/10.1098/rspb.2012.2058 

Aeschbacher, S., Futschik, A., &; Beaumont, M. (2013). Approximate Bayesian computation for modular inference problems with many parameters: the example of migration rates. . Molecular Ecology. Wiley-Blackwell.https://doi.org/10.1111/mec.12165 

Hearn, J., Stone, G., Barton, N. H., Lohse, K., &; Bunnefeld, L. (2013). Data from: Likelihood-based inference of population history from low coverage de novo genome assemblies. Dryad.https://doi.org/10.5061/dryad.r3r60 

de Vladar, H. (2012). The game of active search for extra terrestrial intelligence Breaking the Great Silence . International Journal of Astrobiology. Cambridge University Press.https://doi.org/10.1017/S1473550412000407 

Aeschbacher, S., Beaumont, M., &; Futschik, A. (2012). A novel approach for choosing summary statistics in approximate Bayesian computation. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.112.143164 

Field, D., &; Barrett, S. (2012). Disassortative mating and the maintenance of sexual polymorphism in painted maple. Molecular Ecology. Wiley-Blackwell.https://doi.org/10.1111/j.1365-294X.2012.05643.x 

Weissman, D., &; Barton, N. H. (2012). Limits to the rate of adaptive substitution in sexual populations. PLoS Genetics. Public Library of Science.https://doi.org/10.1371/journal.pgen.1002740 

de Vladar, H. (2012). Amino acid fermentation at the origin of the genetic code. Biology Direct. BioMed Central.https://doi.org/10.1186/1745-6150-7-6 

de Vladar, H., &; Chela Flores, J. (2012). Can the evolution of multicellularity be anticipated in the exploration of the solar system? In Life on Earth and other planetary bodies (Vol. 24, pp. 387–405). Springer.https://doi.org/10.1007/978-94-007-4966-5_22 

Pickup, M., Field, D., Rowell, D., &; Young, A. (2012). Predicting local adaptation in fragmented plant populations: Implications for restoration genetics. Evolutionary Applications. Wiley-Blackwell.https://doi.org/10.1111/j.1752-4571.2012.00284.x 

Aeschbacher, S., Futschik, A., &; Beaumont, M. (2012). Data from: Approximate Bayesian computation for modular inference problems with many parameters: the example of migration rates. Dryad.https://doi.org/10.5061/dryad.274b1 

Lohse, K., Barton, N. H., Melika, G., &; Stone, G. (2012). A likelihood based comparison of population histories in a parasitoid guild. Molecular Ecology. Wiley-Blackwell.https://doi.org/10.1111/j.1365-294X.2012.05700.x 

Lohse, K., Barton, N. H., Stone, G., &; Melika, G. (2012). Data from: A likelihood-based comparison of population histories in a parasitoid guild. Dryad.https://doi.org/10.5061/DRYAD.0G0FS 

Abbot, P., Abe, J., Alcock, J., Alizon, S., Alpedrinha, J., Andersson, M.,https://doi.org/10.1038/nature09831__Zink, A. (2011). Inclusive fitness theory and eusociality. Nature. Nature Publishing Group.https://doi.org/10.1038/nature09831 

Polechova, J., &; Barton, N. H. (2011). Genetic drift widens the expected cline but narrows the expected cline width. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.111.129817 

Barton, N. H., &; Etheridge, A. (2011). The relation between reproductive value and genetic contribution. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.111.127555 

de Vladar, H., &; Barton, N. H. (2011). The contribution of statistical physics to evolutionary biology. Trends in Ecology and Evolution. Cell Press.https://doi.org/10.1016/j.tree.2011.04.002 

Palero, F., Guerao, G., Clark, P., &; Abello, P. (2011). Scyllarus arctus (Crustacea: Decapoda: Scyllaridae) final stage phyllosoma identified by DNA analysis, with morphological description. Journal of the Marine Biological Association of the United Kingdom. Cambridge University Press.https://doi.org/10.1017/S0025315410000287 

Lohse, K., Harrison, R., &; Barton, N. H. (2011). A general method for calculating likelihoods under the coalescent process. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.111.129569 

Logeswaran, S., &; Barton, N. H. (2011). Mapping Mendelian traits in asexual progeny using changes in marker allele frequency. Genetical Research. Cambridge University Press.https://doi.org/10.1017/S0016672311000115 

Barton, N. H. (2011). Estimating linkage disequilibria. Heredity. Nature Publishing Group.https://doi.org/10.1038/hdy.2010.67 

Palero, F., Abello, P., Macpherson, E., Beaumont, M., &; Pascual, M. (2011). Effect of oceanographic barriers and overfishing on the population genetic structure of the European spiny lobster Palinurus elephas. Biological Journal of the Linnean Society. Wiley-Blackwell.https://doi.org/10.1111/j.1095-8312.2011.01728.x 

Palero, F., Abello, P., Macpherson, E., Beaumont, M., &; Pascual, M. (2011). Data from: Effect of oceanographic barriers and overfishing on the population genetic structure of the European spiny lobster (Palinurus elephas). IST Austria.https://doi.org/10.5061/dryad.299h8 

de Vladar, H., &; Barton, N. H. (2011). The statistical mechanics of a polygenic character under stabilizing selection mutation and drift. Journal of the Royal Society Interface. The Royal Society.https://doi.org/10.1098/rsif.2010.0438 

Barton, N. H., &; Turelli, M. (2011). Spatial waves of advance with bistable dynamics: Cytoplasmic and genetic analogues of Allee effects. American Naturalist. The University of Chicago Press.https://doi.org/10.1086/661246 

Weissman, D., Feldman, M., &; Fisher, D. (2010). The rate of fitness-valley crossing in sexual populations. Genetics. Genetics Society of America.https://doi.org/10.1534/genetics.110.123240 

Senn, H., Goodman, S., Swanson, G., Barton, N. H., &; Pemberton, J. (2010). Investigating temporal changes in hybridisation and introgression between invasive sika (Cervus nippon) and native red deer (Cervus elaphus) on the Kintyre Peninsula, Scotland. Molecular Ecology. Wiley-Blackwell.https://doi.org/10.1111/j.1365-294X.2009.04497.x 

Palero, F., González Candelas, F., &; Pascual, M. (2010). Microsatelight – Pipeline to expedite microsatellite analysis. Journal of Heredity. Oxford University Press.https://doi.org/10.1093/jhered/esq111 

Bridle, J., Polechova, J., Kawata, M., &; Butlin, R. (2010). Why is adaptation prevented at ecological margins? New insights from individual-based simulations. Ecology Letters. Wiley-Blackwell.https://doi.org/10.1111/j.1461-0248.2010.01442.x 

Barton, N. H., Etheridge, A., &; Véber, A. (2010). A new model for evolution in a spatial continuum. Electronic Journal of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/EJP.v15-741 

Barton, N. H. (2010). Genetic linkage and natural selection. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. Royal Society.https://doi.org/10.1098/rstb.2010.0106 

Barton, N. H. (2010). What role does natural selection play in speciation? Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. Royal Society.https://doi.org/10.1098/rstb.2010.0001