TESS3: fast inference of spatial population structure and genome scans for selection

Geography and landscape are important determinants of genetic variation in natural populations, and several ancestry estimation methods have been proposed to investigate population structure using genetic and geographic data simultaneously. Those approaches are often based on computer‐intensive stoc...

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Veröffentlicht in:	Molecular ecology resources Jg. 16; H. 2; S. 540 - 548
Hauptverfasser:	Caye, Kevin, Deist, Timo M., Martins, Helena, Michel, Olivier, François, Olivier
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Blackwell Publishing Ltd 01.03.2016 Wiley Subscription Services, Inc Wiley/Blackwell
Schlagworte:	algorithms ancestry Arabidopsis Arabidopsis - classification Arabidopsis - genetics Arabidopsis thaliana Computational Biology Computational Biology - methods control of false discoveries data collection Europe gene frequency Genealogy Genes Genetic diversity Genetic Variation Genetics Genetics, Population Genetics, Population - methods genome genome scans for selection Genome, Plant Genomes geographic variation geographical variation Geography high-throughput nucleotide sequencing inference of population structure landscapes Life Sciences Natural populations Phylogeography Phylogeography - methods Plant species Population structure Populations and Evolution statistical analysis Statistical methods genome scans for selection geographic variation inference of population structure control of false discoveries
ISSN:	1755-098X, 1755-0998, 1755-0998
Online-Zugang:	Volltext
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