Comparison of Bayesian clustering and edge detection methods for inferring boundaries in landscape genetics

International Journal of Molecular Sciences

Volumn 12, Issue 2, 2011, Pages 865-889

  Safner, Toni ^a,b   Miller, Mark P ^c,g   McRae, Brad H ^d   Fortin, Marie Josée ^e   Manel, Stéphanie ^a,f  

^a UNIVERSITÉ JOSEPH FOURIER   (France)

^b UNIVERSITY OF ZAGREB   (Croatia)

^c UTAH STATE UNIVERSITY   (United States)

^d THE NATURE CONSERVANCY   (United States)

^e UNIVERSITY OF TORONTO   (Canada)

^f Aix Marseille University Marseille   (France)

^g FOREST AND RANGELAND ECOSYSTEM SCIENCE CENTER   (United States)

Author keywords

Edge detection methods; Genetic boundaries; Landscape genetics; Spatial Bayesian clustering

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; BAYESIAN CLUSTERING PROGRAM; CONTROLLED STUDY; EDGE DETECTION METHOD; GENE CLUSTER; GENE FLOW; GENE STRUCTURE; GENETIC VARIABILITY; INTERMETHOD COMPARISON; SIMULATION; ANIMAL; BAYES THEOREM; BIOLOGICAL MODEL; COMPARATIVE STUDY; ECOSYSTEM; GENETICS; MOLECULAR EVOLUTION; POPULATION; POPULATION GENETICS; PROCEDURES; PUMA; RHODODENDRON;

MICROSATELLITE DNA;

ANIMALS; BAYES THEOREM; ECOSYSTEM; EVOLUTION, MOLECULAR; GENETIC VARIATION; GENETICS, POPULATION; MICROSATELLITE REPEATS; MODELS, GENETIC; POPULATION; PUMA; RHODODENDRON;

EID: 79952275743     PISSN: None     EISSN: 14220067     Source Type: Journal    
DOI: 10.3390/ijms12020865     Document Type: Article

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