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.

Guardado en:
Detalles Bibliográficos
Autores principales: Lauren Alpert Sugden, Elizabeth G. Atkinson, Annie P. Fischer, Stephen Rong, Brenna M. Henn, Sohini Ramachandran
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Q
Acceso en línea:https://doaj.org/article/ea7421382bdb46b1aa16c069bc69f1a7
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:ea7421382bdb46b1aa16c069bc69f1a7
record_format dspace
spelling oai:doaj.org-article:ea7421382bdb46b1aa16c069bc69f1a72021-12-02T15:33:34ZLocalization of adaptive variants in human genomes using averaged one-dependence estimation10.1038/s41467-018-03100-72041-1723https://doaj.org/article/ea7421382bdb46b1aa16c069bc69f1a72018-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-03100-7https://doaj.org/toc/2041-1723Selective 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.Lauren Alpert SugdenElizabeth G. AtkinsonAnnie P. FischerStephen RongBrenna M. HennSohini RamachandranNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-14 (2018)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Lauren Alpert Sugden
Elizabeth G. Atkinson
Annie P. Fischer
Stephen Rong
Brenna M. Henn
Sohini Ramachandran
Localization of adaptive variants in human genomes using averaged one-dependence estimation
description 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.
format article
author Lauren Alpert Sugden
Elizabeth G. Atkinson
Annie P. Fischer
Stephen Rong
Brenna M. Henn
Sohini Ramachandran
author_facet Lauren Alpert Sugden
Elizabeth G. Atkinson
Annie P. Fischer
Stephen Rong
Brenna M. Henn
Sohini Ramachandran
author_sort Lauren Alpert Sugden
title Localization of adaptive variants in human genomes using averaged one-dependence estimation
title_short Localization of adaptive variants in human genomes using averaged one-dependence estimation
title_full Localization of adaptive variants in human genomes using averaged one-dependence estimation
title_fullStr Localization of adaptive variants in human genomes using averaged one-dependence estimation
title_full_unstemmed Localization of adaptive variants in human genomes using averaged one-dependence estimation
title_sort localization of adaptive variants in human genomes using averaged one-dependence estimation
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/ea7421382bdb46b1aa16c069bc69f1a7
work_keys_str_mv AT laurenalpertsugden localizationofadaptivevariantsinhumangenomesusingaveragedonedependenceestimation
AT elizabethgatkinson localizationofadaptivevariantsinhumangenomesusingaveragedonedependenceestimation
AT anniepfischer localizationofadaptivevariantsinhumangenomesusingaveragedonedependenceestimation
AT stephenrong localizationofadaptivevariantsinhumangenomesusingaveragedonedependenceestimation
AT brennamhenn localizationofadaptivevariantsinhumangenomesusingaveragedonedependenceestimation
AT sohiniramachandran localizationofadaptivevariantsinhumangenomesusingaveragedonedependenceestimation
_version_ 1718387117452689408