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Bayesian analysis of genetic differentiation between populations.
We introduce a Bayesian method for estimating hidden population substructure using multilocus molecular markers and geographical information provided by the sampling design. The joint posteriorExpand
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Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
TLDR
We discuss the necessity of enhancing the statistical approaches to face the challenges posed by the ever-increasing amounts of molecular data generated by scientists over a wide range of research areas. Expand
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Bayesian identification of admixture events using multilocus molecular markers
Bayesian statistical methods for the estimation of hidden genetic structure of populations have gained considerable popularity in the recent years. Utilizing molecular marker data, Bayesian mixtureExpand
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BAPS 2: enhanced possibilities for the analysis of genetic population structure
TLDR
We have modified our earlier algorithm to support multiple parallel MCMC chains, with enhanced features that enable considerably faster and more reliable estimation compared to the earlier version. Expand
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Bayesian spatial modeling of genetic population structure
TLDR
We develop a method for modeling the spatial genetic structure of a population using a combination of analytical and stochastic methods. Expand
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Bayesian analysis of population structure based on linked molecular information.
The Bayesian model-based approach to inferring hidden genetic population structures using multilocus molecular markers has become a popular tool within certain branches of biology. In particular, itExpand
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Evolution and transmission of drug resistant tuberculosis in a Russian population
The molecular mechanisms determining the transmissibility and prevalence of drug-resistant tuberculosis in a population were investigated through whole-genome sequencing of 1,000 prospectivelyExpand
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Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software
Phylogeographical analyses have become commonplace for a myriad of organisms with the advent of cheap DNA sequencing technologies. Bayesian model-based clustering is a powerful tool for detectingExpand
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CYP2D6 worldwide genetic variation shows high frequency of altered activity variants and no continental structure
Background and objective CYP2D6, a member of the cytochrome P450 superfamily, is responsible for the metabolism of about 25% of the commonly prescribed drugs. Its activity ranges from completeExpand
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Approximate Bayesian Computation
TLDR
Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in Bayesian statistics that bypass the evaluation of the likelihood function. Expand
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