Localization of adaptive variants in human genomes using averaged one-dependence estimation
Selective sweeps are events in which beneficial mutations spread rapidly through a population. Here, Sugden et al. develop SWIF(r), a probabilistic classification framework for detecting and localizing selective sweeps, and apply it to genomic data from the ‡Khomani San.
Enregistré dans:
Auteurs principaux: | Lauren Alpert Sugden, Elizabeth G. Atkinson, Annie P. Fischer, Stephen Rong, Brenna M. Henn, Sohini Ramachandran |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2018
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/ea7421382bdb46b1aa16c069bc69f1a7 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Estimation of non-null SNP effect size distributions enables the detection of enriched genes underlying complex traits.
par: Wei Cheng, et autres
Publié: (2020) -
MNI-FTD templates, unbiased average templates of frontotemporal dementia variants
par: Mahsa Dadar, et autres
Publié: (2021) -
Fitting a function to time-dependent ensemble averaged data
par: Karl Fogelmark, et autres
Publié: (2018) -
Quantitative estimates of average geomagnetic axial dipole dominance in deep geological time
par: Andrew J. Biggin, et autres
Publié: (2020) -
Factors of Renewable Energy Consumption in the European Countries—The Bayesian Averaging Classical Estimates Approach
par: Atif Maqbool Khan, et autres
Publié: (2021)