Bayesian spatial modeling of genetic population structure

By Jukka Corander, Jukka Sirén, Elja Arjas. Computational statistics (Zeitschrift), 2008

430 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Genetics

View Paper: https://www.semanticscholar.org/paper/21e16b9d0fdf3b85c876d0163b903d46f293d109

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Genetics

Citations in the corpus

Linking movement behavior and fine-scale genetic structure to model landscape connectivity for bobcats (Lynx rufus) (2013, positive): “2 (Corander et al. 2008) software to perform spatial clustering of individuals, with five runs each for the maximum number of populations (K) set to K = 2–8 since we anticipated few discrete clusters.”
Inferring weak population structure with the assistance of sample group information (2009, background): “2008), and in a recent version of BAPS (Corander et al. 2008).”
Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software (2013, methodology): “…several ecological and genetic factors using the population genetic software package, BAPS (Corander and Marttinen 2006; Corander and Tang 2007; Corander et al. 2008a; Corander et al. 2008b; Tang et al. 2009; Cheng et al. 2011), on large collections of DNA sequence data from pathogen…”
Glacial survival and post‐glacial recolonization of an arctic–alpine freshwater insect (Arcynopteryx dichroa, Plecoptera, Perlodidae) in Europe (2013, methodology): “We applied the spatial model that uses individual georeferenced multilocus genotypes to assign a biologically relevant non-uniform prior distribution over space of clustering solutions, thereby increasing the power to correctly detect the underlying population structure (Corander et al., 2008).”
Geography determines genetic relationships between species of mountain pine (Pinus mugo complex) in western Europe (2010, methodology): “We applied both a non-spatial and a spatial genetic mixture analysis (Corander et al., 2008) to groups (sampled populations) of haplotypes.”
Clumpak: a program for identifying clustering modes and packaging population structure inferences across K (2015, methodology): “…population structure examines multilocus genotypes of individuals using model-based cluster analysis (Pritchard et al. 2000; Dawson & Belkhir 2001; Corander et al. 2003, 2004, 2008a,b; Falush et al. 2003, 2007; Guillot et al. 2005; Tang et al. 2005; Franc (cid:1) ois et al. 2006; Pella & Masuda…”