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。Subsampling reveals that unbalanced sampling affects STRUCTURE results in a multi-species dataset
Patrick G. Meirmans
HEREDITY (2019)
A tutorial on how not to over-interpret STRUCTURE and ADMIXTURE bar plots
Daniel J. Lawson et al.
NATURE COMMUNICATIONS (2018)
The K=2 conundrum
Jasmine K. Janes et al.
MOLECULAR ECOLOGY (2017)
The program structure does not reliably recover the correct population structure when sampling is uneven: subsampling and new estimators alleviate the problem
Sebastien J. Puechmaille
MOLECULAR ECOLOGY RESOURCES (2016)
Clumpak: a program for identifying clustering modes and packaging population structure inferences across K
Naama M. Kopelman et al.
MOLECULAR ECOLOGY RESOURCES (2015)
Testing for Hardy-Weinberg Proportions: Have We Lost the Plot?
Robin S. Waples
JOURNAL OF HEREDITY (2015)
Recommendations for utilizing and reporting population genetic analyses: the reproducibility of genetic clustering using the program STRUCTURE
Kimberly J. Gilbert et al.
MOLECULAR ECOLOGY (2012)
Structurama: Bayesian Inference of Population Structure
John P. Huelsenbeck et al.
EVOLUTIONARY BIOINFORMATICS (2011)
The computer program STRUCTURE does not reliably identify the main genetic clusters within species: simulations and implications for human population structure
S. T. Kalinowski
HEREDITY (2011)
pegas: an R package for population genetics with an integrated-modular approach
Emmanuel Paradis
BIOINFORMATICS (2010)
Discriminant analysis of principal components: a new method for the analysis of genetically structured populations
Thibaut Jombart et al.
BMC GENETICS (2010)
Genetic population structure of marine fish: mismatch between biological and fisheries management units
Henning Reiss et al.
FISH AND FISHERIES (2009)
adegenet:: a R package for the multivariate analysis of genetic markers
Thibaut Jombart
BIOINFORMATICS (2008)
Revealing cryptic spatial patterns in genetic variability by a new multivariate method
T. Jombart et al.
HEREDITY (2008)
Interpreting principal component analyses of spatial population genetic variation
John Novembre et al.
NATURE GENETICS (2008)
Bayesian clustering algorithms ascertaining spatial population structure:: a new computer program and a comparison study
Chibiao Chen et al.
MOLECULAR ECOLOGY NOTES (2007)
Identification of management units using population genetic data
Per J. Palsboll et al.
TRENDS IN ECOLOGY & EVOLUTION (2007)
Bayesian Clustering Using Hidden Markov Random Fields in Spatial Population Genetics
Olivier Francois et al.
GENETICS (2006)
Bayesian clustering using hidden Markov random fields in spatial population genetics
Olivier Francois et al.
GENETICS (2006)
What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity
RS Waples et al.
MOLECULAR ECOLOGY (2006)
Relative performance of Bayesian clustering software for inferring population substructure and individual assignment at low levels of population differentiation
EK Latch et al.
CONSERVATION GENETICS (2006)
ROCR: visualizing classifier performance in R
T Sing et al.
BIOINFORMATICS (2005)
GENELAND: a computer package for landscape genetics
G Guillot et al.
MOLECULAR ECOLOGY NOTES (2005)
Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study
G Evanno et al.
MOLECULAR ECOLOGY (2005)
Y chromosome conserved anchored tagged sequences (YCATS) for the analysis of mammalian male-specific DNA
L Hellborg et al.
MOLECULAR ECOLOGY (2003)
A Bayesian approach to the identification of panmictic populations and the assignment of individuals
KJ Dawson et al.
GENETICAL RESEARCH (2001)
EASYPOP (version 1.7): A computer program for population genetics simulations
F Balloux
JOURNAL OF HEREDITY (2001)