A generalized Watterson estimator for next-generation sequencing: From trios to autopolyploids - Evolution des Génomes Eucaryotes Accéder directement au contenu
Article Dans Une Revue Theoretical Population Biology Année : 2015

A generalized Watterson estimator for next-generation sequencing: From trios to autopolyploids

Résumé

Several variations of the Watterson estimator of variability for Next Generation Sequencing (NGS) data have been proposed in the literature. We present a unified framework for generalized Watterson estimators based on Maximum Composite Likelihood, which encompasses most of the existing estimators. We propose this class of unbiased estimators as generalized Watterson estimators for a large class of NGS data, including pools and trios. We also discuss the relation with the estimators that have been proposed in the literature and show that they admit two equivalent but seemingly different forms, deriving a set of combinatorial identities as a byproduct. Finally, we give a detailed treatment of Watterson estimators for single or multiple autopolyploid individuals.
Fichier principal
Vignette du fichier
Ferretti_A_generalized.pdf (228.42 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01103471 , version 1 (14-01-2015)

Identifiants

Citer

Luca Ferretti, Sebastian E. Ramos-Onsins. A generalized Watterson estimator for next-generation sequencing: From trios to autopolyploids. Theoretical Population Biology, 2015, 100, pp.79-87. ⟨10.1016/j.tpb.2015.01.001⟩. ⟨hal-01103471⟩
133 Consultations
418 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More