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

Author:

Caye Kevin1,Deist Timo M.1,Martins Helena1,Michel Olivier2,François Olivier1

Affiliation:

1. Centre National de la Recherche Scientifique; Université Grenoble-Alpes; TIMC-IMAG UMR 5525 Grenoble 38042 France

2. Centre National de la Recherche Scientifique; Université Grenoble-Alpes; GIPSA-lab UMR 5216 Grenoble 38042 France

Funder

LabEx PERSYVAL-Lab

French program Investissement d'avenir

'Ciências sem Fronteiras' scholarship program from the Brazilian government

Agence Nationale de la Recherche

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics,Biotechnology

Reference31 articles.

1. Enhancements to the ADMIXTURE algorithm for individual ancestry estimation;Alexander;BMC Bioinformatics,2011

2. Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines;Atwell;Nature,2010

3. Likelihood-free inference of population structure and local adaptation in a Bayesian hierarchical model;Bazin;Genetics,2010

4. Laplacian eigenmaps for dimensionality reduction and data representation;Belkin;Neural Computation,2003

5. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;Journal of the Royal Statistical Society,1995

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