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Computationally efficient implementation of a novel algorithm for the General Unified Threshold model of Survival (GUTS)
Albert, C., Vogel, S., & Ashauer, R. (2016). Computationally efficient implementation of a novel algorithm for the General Unified Threshold model of Survival (GUTS). PLoS Computational Biology, 12(6), 1-19. https://doi.org/10.1371/journal.pcbi.1004978
Integrated stochastic model of DNA damage repair by non-homologous end joining and p53/p21- mediated early senescence signalling
Dolan, D. W. P., Zupanic, A., Nelson, G., Hall, P., Miwa, S., Kirkwood, T. B. L., & Shanley, D. P. (2015). Integrated stochastic model of DNA damage repair by non-homologous end joining and p53/p21- mediated early senescence signalling. PLoS Computational Biology, 11(5), 1-19. https://doi.org/10.1371/journal.pcbi.1004246
Evolution of stress response in the face of unreliable environmental signals
Arnoldini, M., Mostowy, R., Bonhoeffer, S., & Ackermann, M. (2012). Evolution of stress response in the face of unreliable environmental signals. PLoS Computational Biology, 8(8), 1-10. https://doi.org/10.1371/journal.pcbi.1002627
On genetic specificity in symbiont-mediated host-parasite coevolution
Kwiatkowski, M., Engelstädter, J., & Vorburger, C. (2012). On genetic specificity in symbiont-mediated host-parasite coevolution. PLoS Computational Biology, 8(8), 1-9. https://doi.org/10.1371/journal.pcbi.1002633
Does sex speed up evolutionary rate and increase biodiversity?
Melián, C. J., Alonso, D., Allesina, S., Condit, R. S., & Etienne, R. S. (2012). Does sex speed up evolutionary rate and increase biodiversity? PLoS Computational Biology, 8(3), 1-9. https://doi.org/10.1371/journal.pcbi.1002414
Frequency-dependent selection predicts patterns of radiations and biodiversity
Melián, C. J., Alonso, D., Vázquez, D. P., Regetz, J., & Allesina, S. (2010). Frequency-dependent selection predicts patterns of radiations and biodiversity. PLoS Computational Biology, 6(8), 1-8. https://doi.org/10.1371/journal.pcbi.1000892