Bayesian analysis of genetic differentiation between populations.

By Jukka Corander, Patrik Waldmann, Mikko J. Sillanpää. Genetics, 2003

866 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f9585f8bec247a2c406416e0350805b9409ab8da

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Citations in the corpus

Applying molecular-based approaches to classical biological control of weeds (2011, background): “, 2000), BAPS (Corander et al., 2003) and Geneland (Piry et al.”
Bayesian spatial modeling of genetic population structure (2008, methodology): “A biologically more sensible approach to the spatial analysis of such data can then be obtained by a pre-grouping of the data in the same fashion as in Corander et al. (2003), since the model for the molecular data remains unchanged.”
Genetic diversity and population structure of the Chinese mitten crab Eriocheir sinensis in its native range (2009, methodology): “Partial Bayesian cluster analysis of individuals was performed using BAPS 5.1 (Corander et al. 2003, 2006).”
A Spatial Statistical Model for Landscape Genetics (2005, methodology): “…speciﬁcally, the joint probabil-behaves like an i.i.d. mixture model similar to the prior ity that any two on the clustering individuals belong to the same population by Pritchard et al. (2000), population decreases with the geographical distance between Corander et al. (2003), or Falush et al .”
Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho (2010, methodology): “…population and landscape genetic studies have used F-statistics (Wright 1943), assignment tests or Bayesian clustering (Pritchard et al. 2000; Corander et al. 2003; Francois et al. 2006) to relate genetic differences among predefined subpopulations, propose interpopulation distance…”
Discriminant analysis of principal components: a new method for the analysis of genetically structured populations (2010, unknown): “In particular, Bayesian clustering algorithms based on pre-defined population genetics models such as the STRUCTURE or BAPS software may not be able to cope with this unprecedented amount of data.”
Genetic homogeneity in Juglans nigra (Juglandaceae) at nuclear microsatellites (2006, methodology): “We also applied a Bayesian approach to find the optimal partition of the 43 populations into groups consisting of populations with essentially identical allele frequencies, using the software BAPS (Bayesian Analysis of Population Structure, version 2; Corander et al., 2003, 2004).”
Relative performance of Bayesian clustering software for inferring population substructure and individual assignment at low levels of population differentiation (2006, methodology): “1; Corander et al. 2005) we clustered groups of individuals, setting the maximum number of clusters at ten. Since the mode of the posterior distribution of K almost always provided an overestimate of K (see Results), we used the number of clusters containing more than 3 individuals as a point estima”
Bayesian identification of admixture events using multilocus molecular markers (2006, background): “Notice that there is no proportionality sign in (A1) unlike in the comparable formula of Corander et al. (2003).”
Geography determines genetic relationships between species of mountain pine (Pinus mugo complex) in western Europe (2010, unknown): “5.1, Corander et al., 2003).”
BAPS 2: enhanced possibilities for the analysis of genetic population structure (2004, methodology): “Dawson and Belkhir (2001) and Corander et al. (2003) also use molecular markers to resolve the latent genetic structure among populations, but they estimate the partition among individuals directly. This provides a natural means to infer the a priori unknown number of genetically divergent latent gr”
The worldwide expansion of the Argentine ant (2010, methodology): “This method clusters groups of individuals likely to come from the same randomly mating subpopulation without a priori assumptions (Corander et al., 2003; Pedersen et al., 2006).”