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Approximate Bayesian computation in population genetics.
A key advantage of the method is that the nuisance parameters are automatically integrated out in the simulation step, so that the large numbers of nuisance parameters that arise in population genetics problems can be handled without difficulty. Expand
Evaluating loci for use in the genetic analysis of population structure
It is suggested that genetic variation at a discrepant locus, Identified under these conditions, is likely to have been influenced by natural selection, either acting on the locus itself or at a closely linked locus. Expand
Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation
Key methods used in DIY ABC, a computer program for inference based on approximate Bayesian computation (ABC), in which scenarios can be customized by the user to fit many complex situations involving any number of populations and samples, are described. Expand
Detecting population expansion and decline using microsatellites.
A demographic model where a population varies in size either linearly or exponentially, and a method is presented whereby the posterior probability distribution of the genealogical and demographic parameters can be estimated using Markov chain Monte Carlo simulations. Expand
Identifying adaptive genetic divergence among populations from genome scans
A hierarchical‐Bayesian method is developed, implemented via Markov chain Monte Carlo (MCMC), and its performance is assessed in distinguishing the loci simulated under selection from the neutral loci, finding that both methods can identify loci subject to adaptive selection when the selection coefficient is at least five times the migration rate. Expand
COMPUTER PROGRAMS: onesamp: a program to estimate effective population size using approximate Bayesian computation
A web‐based program, onesamp, is developed that uses approximate Bayesian computation to estimate effective population size from a sample of microsatellite genotypes and provides an estimate ofeffective population size, along with 95% credible limits. Expand
Approximate Bayesian Computation in Evolution and Ecology
Although the method arose in population genetics, ABC is increasingly used in other fields, including epidemiology, systems biology, ecology, and agent-based modeling, and many of these applications are briefly described. Expand
Estimation of population growth or decline in genetically monitored populations.
A new general method is introduced that samples independent genealogical histories using importance sampling (IS) and then samples other parameters with Markov chain Monte Carlo (MCMC) and it is concluded that these have an approximately equivalent effect. Expand
Adaptive approximate Bayesian computation
Sequential techniques can enhance the efficiency of the approximate Bayesian computation algorithm, as in Sisson et al.'s (2007) partial rejection control version. While this method is based upon theExpand
Genetic diversity and introgression in the Scottish wildcat
It is argued that this is evidence that these cats do not have very recent domestic ancestry, but from the morphological data it is highly likely that this gene pool also contains a contribution from earlier introgression of domestic cat genes. Expand