LEA : An R package for landscape and ecological association studies
| Autor: | Eric Frichot, Olivier François |
|---|---|
| Přispěvatelé: | Biologie Computationnelle et Mathématique (TIMC-IMAG-BCM), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF), Francois, Olivier |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
0106 biological sciences
0303 health sciences education.field_of_study Natural selection [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE] Ecology Ecological Modeling Population Biology 010603 evolutionary biology 01 natural sciences Genome Environmental data 03 medical and health sciences Multiple comparisons problem [SDV.GEN.GPO] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE] education Allele frequency Ecology Evolution Behavior and Systematics ComputingMilieux_MISCELLANEOUS 030304 developmental biology Local adaptation Genetic association |
| Zdroj: | Methods in Ecology and Evolution Methods in Ecology and Evolution, Wiley, 2015, 6 (8), pp.925-929 |
| ISSN: | 2041-210X |
| Popis: | Summary 1 Based on population genomic and environmental data, genomewide ecological association studies aim at detecting allele frequencies that exhibit significant statistical association with ecological gradients. Ecological association studies can provide lists of genetic polymorphisms that are potentially involved in local adaptation to environmental conditions through natural selection. 2 Here, we present the R package LEA that enables users to run ecological association studies from the R command line. The package can perform analyses of population structure and genome scans for adaptive alleles from large genomic data sets. It derives advantages from R programming functionalities to adjust significance values for multiple testing issues and to visualize results. 3 This note also illustrates the main steps of ecological association studies and the typical use of LEA for analysing data sets based onR commands. |
| Databáze: | OpenAIRE |
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