Professor Mark Beaumont

Summary

Memberships

Organisations

School of Biological Sciences

Research groups

• Evolutionary Biology

Links

• programs from publications

Recent publications

• Beaumont, MA, 2019, ‘Approximate Bayesian computation’. Annual Review of Statistics and Its Application, vol 6., pp. 379-403
• Macgregor, CJ, Thomas, CD, Roy, DB, Beaumont, MA, Bell, JR, Brereton, T, Bridle, JR, Dytham, C, Fox, R, Gotthard, K, Hoffmann, AA, Martin, G, Middlebrook, I, Nylin, S, Platts, PJ, Rasteiro, R, Saccheri, IJ, Villoutreix, R, Wheat, CW & Hill, JK, 2019, ‘Climate-induced phenology shifts linked to range expansions in species with multiple reproductive cycles per year’. Nature Communications, vol 10.
• Daniels, RR, Taylor, RS, Martínez, SC, Vendramin, GG, Fady, B, Muratorio, SO, Piotti, A, Simioni, G, Grivet, D & Beaumont, MA, 2019, ‘Looking for local adaptation: Convergent microevolution in aleppo pine (pinus halepensis)’. Genes, vol 10.
• Pagel, M, Beaumont, M, Meade, A, Verkerk, A & Calude, A, 2019, ‘Dominant words rise to the top by positive frequency-dependent selection’. Proceedings of the National Academy of Sciences of the United States of America, vol 116., pp. 7397-7402
• He, Z, Beaumont, M & Yu, F, 2017, ‘Effects of the ordering of natural selection and population regulation mechanisms on Wright-Fisher models’. G3, vol 7., pp. 2095-2106
• North, TL & Beaumont, MA, 2015, ‘Complex trait architecture: The pleiotropic model revisited’. Scientific Reports, vol 5.
• Vaart, Evd, Beaumont, MA, Johnston, ASA & Sibly, RM, 2015, ‘Calibration and evaluation of individual-based models using Approximate Bayesian Computation’. Ecological Modelling, vol 312., pp. 182-190
• Arenas, M, Lopes, JS, Beaumont, MA & Posada, D, 2015, ‘CodABC: A computational framework to coestimate recombination, substitution, and molecular adaptation rates by approximate bayesian computation’. Molecular Biology and Evolution, vol 32., pp. 1109-1112
• Lopes, JS, Arenas, M, Posada, D & Beaumont, MA, 2014, ‘Coestimation of recombination, substitution and molecular adaptation rates by approximate Bayesian computation’. Heredity, vol 112., pp. 255-264
• Vitalis, R, Gautier, M, Dawson, KJ & Beaumont, MA, 2014, ‘Detecting and measuring selection from gene frequency data’. Genetics, vol 196., pp. 799-817

View complete publications list in the University of Bristol publications system