Bayesian identification of admixture events using multilocus molecular markers
By Jukka Corander, Pekka Marttinen. Molecular Ecology, 2006
659 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/440473864be03c6dc6628c9e30651d02cbdefdd5
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In Genetics
- Matthew Stephens
- J. K. Pritchard
- Mattias Jakobsson
- Noah A. Rosenberg
- Daniel Falush
- Nick Patterson
- Melissa J. Hubisz
- Jinliang Wang
Citations in the corpus
- Fast hierarchical Bayesian analysis of population structure (2018, methodology): “Solutions to this problem include STRUCTURE (4,7), BAPS (8–10), Ad-mixture (11), fast Structure (12), sNMF (13) and the method of Anderson and Thompson (14).”
- Glacial survival and post‐glacial recolonization of an arctic–alpine freshwater insect (Arcynopteryx dichroa, Plecoptera, Perlodidae) in Europe (2013, background): “…the admixture of individuals, excluding populations with fewer than three specimens, to estimate gene flow rates (r) between given clusters, i.e. the relative average amounts of ancestry in the source cluster among the individuals assigned to the target cluster (Corander & Marttinen, 2006).”
- Efficiency of markers and methods for detecting hybrids and introgression in stocked populations (2009, methodology): “These simulated data were used to carry out admixture analysis using STRUCTURE (Pritchard et al. 2000), NEWHYBRIDS (Anderson and Thompson 2002), BAPS (Corander and Marttinen 2006) and GeneClass (Piry et al. 2004).”
- Hierarchical and Spatially Explicit Clustering of DNA Sequences with BAPS Software (2013, methodology): “…in the extent of recombination and its association with 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…”
- An overview of STRUCTURE: applications, parameter settings, and supporting software (2013, background): “Therefore, the ability of Bayesian methods to differentiate populations amongst a set of samples is severely restricted from limited sample sizes and small marker numbers (Corander et al., 2003; Corander and Marttinen, 2006).”
- CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure (2007, methodology): “…population-genetic data to assign individuals—and fractions of individuals—to clusters (Anderson and Thompson, 2002; Chen et al. , 2006, 2007; Corander and Marttinen, 2006; Corander et al. , 2003, 2004; Dawson and Belkhir, 2001; Falush et al. , 2003; Franc¸ois et al. , 2006; Huelsenbeck…”
- Inferring weak population structure with the assistance of sample group information (2009, background): “2003; Purcell & Sham 2004; Corander & Marttinen 2006;Francois et al .2006;Patterson et al .2006).”
- Ancient Admixture in Human History (2012, background): “Many entries are easily interpretable, for instance the admixture of Uygur (Xu et al. 2008; Xu and Jin 2008) (which we have already discussed), Hazara, Mozabite (Corander and Marttinen 2006; Li et al. 2008), and Maya (Mao et al. 2007) are historically attested.”
- Past and future range shifts and loss of diversity in dwarf willow (Salix herbacea L.) inferred from genetics, fossils and modelling (2009, methodology): “(2) Another Bayesian clustering algorithm was run with the program baps 3.2 (Corander & Marttinen, 2006), which gives only one optimal grouping.”
- Genetic, morphological, and chemical patterns of plant hybridization (2014, methodology): “…been useful detecting different hybrid classes (F1, F2, backcrosses and later generation hybrids) when Bayesian based analyses such as STRUCTURE (Pritchard et al. 2000), NEWHYBRIDS (Anderson and Thompson 2002), BAPS (Corander and Marttinen 2006) and GENECLASS (Piry et al. 2004) have been employed.”