Adaptation and speciation : What can F_st tell us?BEAUMONT, Mark A.Trends in ecology & evolution (Amsterdam). 2005, Vol 20, Num 8, pp 435-440, issn 0169-5347, 6 p.Article

Approximate Bayesian in Evolution and EcologyBEAUMONT, Mark A.Annual review of ecology, evolution, and systematics. 2010, Vol 41, pp 379-406, issn 1543-592X, 28 p.Article

The Bayesian revolution in geneticsBEAUMONT, Mark A; RANNALA, Bruce.Nature reviews. Genetics (Print). 2004, Vol 5, Num 4, pp 251-261, issn 1471-0056, 11 p.Article

Mcheza: a workbench to detect selection using dominant markersANTAO, Tiago; BEAUMONT, Mark A.Bioinformatics (Oxford. Print). 2011, Vol 27, Num 12, pp 1717-1718, issn 1367-4803, 2 p.Article

PopABC: a program to infer historical demographic parametersLOPES, Joao S; BALDING, David; BEAUMONT, Mark A et al.Bioinformatics (Oxford. Print). 2009, Vol 25, Num 20, pp 2747-2749, issn 1367-4803, 3 p.Article

Adaptive approximate Bayesian computationBEAUMONT, Mark A; CORNUET, Jean-Marie; MARIN, Jean-Michel et al.Biometrika. 2009, Vol 96, Num 4, pp 983-990, issn 0006-3444, 8 p.Article

Inferring population history with DIYABC : a user-friendly approach to approximate Bayesian computationGORNUET, Jean-Marie; SANTOS, Filipe; BEAUMONT, Mark A et al.Bioinformatics (Oxford. Print). 2008, Vol 24, Num 23, pp 2713-2719, issn 1367-4803, 7 p.Article

Ecology and genetics of wild-living cats in the north-east of Scotland and the implications for the conservation of the wildcatDANIELS, Mike J; BEAUMONT, Mark A; JOHNSON, Paul J et al.Journal of applied ecology. 2001, Vol 38, Num 1, pp 146-161, issn 0021-8901Article

A novel parallel approach to the likelihood-based estimation of admixture in population geneticsGIOVANNINI, Ambra; ZANGHIRATI, Gaetano; BEAUMONT, Mark A et al.Bioinformatics (Oxford. Print). 2009, Vol 25, Num 11, pp 1440-1441, issn 1367-4803, 2 p.Article