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Barton, N. H., &; Servedio, M. (2015). The interpretation of selection coefficients. Evolution. Wiley.https://doi.org/10.1111/evo.12641 
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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 
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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 
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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 
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Polechova, J., &; Barton, N. H. (2015). Limits to adaptation along environmental gradients. PNAS. National Academy of Sciences.https://doi.org/10.1073/pnas.1421515112 
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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 
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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 
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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 
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arXiv: 1012.3298

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