Genome scan methods against more complex models: When and how much should we trust them?

Molecular Ecology

Volumn 23, Issue 8, 2014, Pages 2006-2019

  De Villemereuil, Pierre ^a   Frichot, Éric ^a   Bazin, Éric ^a   François, Olivier ^a   Gaggiotti, Oscar E ^a,b  

^a CNRS   (France)

^b UNIVERSITY OF ST ANDREWS   (United Kingdom)

Author keywords

adaptation; Bayesian methods; false discovery rate; genome scan; power simulation study

Indexed keywords

ADAPTATION; ARTICLE; BAYES THEOREM; BAYESIAN METHODS; BIOLOGICAL MODEL; COMPUTER SIMULATION; FALSE DISCOVERY RATE; GENE FREQUENCY; GENOME SCAN; GENOTYPE; GENOTYPE ENVIRONMENT INTERACTION; METHODOLOGY; POPULATION GENETICS; POWER SIMULATION STUDY; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ADAPTATION; BAYESIAN METHODS; FALSE DISCOVERY RATE; GENOME SCAN; POWER SIMULATION STUDY;

BAYES THEOREM; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GENE FREQUENCY; GENE-ENVIRONMENT INTERACTION; GENETICS, POPULATION; GENOTYPE; LINEAR MODELS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84898547407     PISSN: 09621083     EISSN: 1365294X     Source Type: Journal    
DOI: 10.1111/mec.12705     Document Type: Article

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