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Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations

BMC Bioinformatics · 2008 · Vol. 9(1) · pp. 539–539

Jukka Corander✉(Åbo Akademi University)Pekka Marttinen(University of Helsinki)Jukka Sirén(Statistics Finland)Jing Tang(Statistics Finland)

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Abstract

The Bayesian modelling methods introduced in this article represent an array of enhanced tools for learning the genetic structure of populations. Their implementations in the BAPS software are designed to meet the increasing need for analyzing large-scale population genetics data. The software is freely downloadable for Windows, Linux and Mac OS X systems at http://web.abo.fi/fak/mnf//mate/jc/software/baps.html.

Genetic diversity and population structure Genetic Mapping and Diversity in Plants and Animals Genetic and phenotypic traits in livestockInferenceComputer scienceBayes' theoremSoftwareA priori and a posterioriPopulationStatistical modelMachine learningStatistical inferenceBayesian probability

MeSH terms

AlgorithmsAllelesBayes TheoremGenetics, PopulationHumansGenetic LinkageModels, GeneticPopulationSoftwareStochastic ProcessesCluster AnalysisSequence Analysis, DNAComputational BiologyDatabases, GeneticGenetic Structures