相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Scrambled Linear Pseudorandom Number Generators
David Blackman et al.
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE (2021)
Major inconsistencies of inferred population genetic structure estimated in a large set of domestic horse breeds using microsatellites
Stephan Michael Funk et al.
ECOLOGY AND EVOLUTION (2020)
AllCoPol: inferring allele co-ancestry in polyploids
Ulrich Lautenschlager et al.
BMC BIOINFORMATICS (2020)
Genomic diversity and population structure of the indigenous Greek and Cypriot cattle populations
Dimitris Papachristou et al.
GENETICS SELECTION EVOLUTION (2020)
POPHELPER: an R package and web app to analyse and visualize population structure
R. M. Francis
MOLECULAR ECOLOGY RESOURCES (2017)
pong: fast analysis and visualization of latent clusters in population genetic data
Aaron A. Behr et al.
BIOINFORMATICS (2016)
Estimating the Number of Subpopulations (K) in Structured Populations
Robert Verity et al.
GENETICS (2016)
Estimating the Number of Subpopulations (K) in Structured Populations
Robert Verity et al.
GENETICS (2016)
Clumpak: a program for identifying clustering modes and packaging population structure inferences across K
Naama M. Kopelman et al.
MOLECULAR ECOLOGY RESOURCES (2015)
fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets
Anil Raj et al.
GENETICS (2014)
STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method
Dent A. Earl et al.
CONSERVATION GENETICS RESOURCES (2012)
Genetic diversity of dog breeds: between-breed diversity, breed assignation and conservation approaches
G. Leroy et al.
ANIMAL GENETICS (2009)
Fast model-based estimation of ancestry in unrelated individuals
David H. Alexander et al.
GENOME RESEARCH (2009)
CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure
Mattias Jakobsson et al.
BIOINFORMATICS (2007)
Estimation of individual admixture: Analytical and study design considerations
H Tang et al.
GENETIC EPIDEMIOLOGY (2005)
Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
A Jasra et al.
STATISTICAL SCIENCE (2005)
Dealing with label switching in mixture models
M Stephens
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2000)