2004
DOI: 10.1093/bioinformatics/bth250
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BAPS 2: enhanced possibilities for the analysis of genetic population structure

Abstract: Freely available at http://www.rni.helsinki.fi/~jic/bapspage.html.

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Cited by 429 publications
(432 citation statements)
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References 24 publications
(57 reference statements)
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“…Since group-level analysis does not rely on the integrity of individual multilocus genotypes, we were able to use the method to compare solutions from the original and null-allele-corrected data sets. The resulting clusters (from the original data set) were saved, and admixture proportions-estimated for each individual, again using BAPS 4.13 (Corander et al 2004), with the posterior probability for the null hypothesis of pure ancestry-were computed by permutation. We used clusters, rather than individual sample sites, as the units for the analysis because admixture results can be unreliable when the power to discriminate populations is low ( J.…”
Section: Methodsmentioning
confidence: 99%
“…Since group-level analysis does not rely on the integrity of individual multilocus genotypes, we were able to use the method to compare solutions from the original and null-allele-corrected data sets. The resulting clusters (from the original data set) were saved, and admixture proportions-estimated for each individual, again using BAPS 4.13 (Corander et al 2004), with the posterior probability for the null hypothesis of pure ancestry-were computed by permutation. We used clusters, rather than individual sample sites, as the units for the analysis because admixture results can be unreliable when the power to discriminate populations is low ( J.…”
Section: Methodsmentioning
confidence: 99%
“…We also examined the genetic clustering of samples using BAPS V4.14 (Corander et al 2004), STRUCTURE V2.3.2 (Pritchard et al 2000), and by performing an analysis of molecular variation (AMOVA). BAPS (Corander et al 2004) uses Bayesian mixture modeling to describe variation within subpopulations using a separate joint probability distribution over multiple loci. The mixture model parameters include the assignment of individuals to clusters to optimize genetic similarity within clusters.…”
Section: Genetic Variation and Population Structurementioning
confidence: 99%
“…The population structure determined using microsatellite data was initially analysed adopting three statistical approaches: the Bayesian methods implemented in the programme BAPS 4.14 (Corander et al, 2003(Corander et al, , 2004 and STRUCTURE 2.2 (Pritchard et al, 2000;Falush et al, 2003Falush et al, , 2007, and Genetic Landscape Shape analysis (Miller, 2005). The population structure based on mt data has been presented by Tollefsrud et al (2008b); here, we only performed Genetic Landscape Shape analysis of the mtDNA data to facilitate direct comparison between the geographical patterns of differentiation observed between the two marker types.…”
Section: Population Genetic Structurementioning
confidence: 99%