Detection of loci under selection from temporal population genomic data through ABC random forest - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Poster De Conférence Année : 2018

Detection of loci under selection from temporal population genomic data through ABC random forest

Résumé

Recent theoretical works have shown that the interaction between the signal of demography and selection can lead to bias in the inference of population size and the false identification of adaptive loci in genome scans. The joint estimation is a necessity, however not yet fully implemented. We propose the use of ABC Random-Forests to implement the joint inference in temporal population genomics datasets. Preliminary results showed that the method permits the joint inference of demography and selection, allowing distinguish the true demography (census size) and genetic drift (effective population size), as well the estimation of the genetic load (selection).
Fichier principal
Vignette du fichier
7JS_POSTER_INTERLABEX ABC SELECTION.pdf (3.89 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02787307 , version 1 (01-04-2021)

Identifiants

  • HAL Id : hal-02787307 , version 1
  • PRODINRA : 489877

Citer

Vitor Pavinato, Jean-Michel Marin, Miguel Navascués. Detection of loci under selection from temporal population genomic data through ABC random forest. 7. journées scientifiques du LabEx NUMEV, Nov 2018, Montpellier, France. , 2018. ⟨hal-02787307⟩
78 Consultations
20 Téléchargements

Partager

Gmail Facebook X LinkedIn More