Your browser doesn't support javascript.
loading
RADpainter and fineRADstructure: Population Inference from RADseq Data.
Malinsky, Milan; Trucchi, Emiliano; Lawson, Daniel John; Falush, Daniel.
Afiliación
  • Malinsky M; Zoological Institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland.
  • Trucchi E; Wellcome Trust Sanger Institute, Cambridge, United Kingdom.
  • Lawson DJ; Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy.
  • Falush D; School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom.
Mol Biol Evol ; 35(5): 1284-1290, 2018 05 01.
Article en En | MEDLINE | ID: mdl-29474601
Powerful approaches to inferring recent or current population structure based on nearest neighbor haplotype "coancestry" have so far been inaccessible to users without high quality genome-wide haplotype data. With a boom in nonmodel organism genomics, there is a pressing need to bring these methods to communities without access to such data. Here, we present RADpainter, a new program designed to infer the coancestry matrix from restriction-site-associated DNA sequencing (RADseq) data. We combine this program together with a previously published MCMC clustering algorithm into fineRADstructure-a complete, easy to use, and fast population inference package for RADseq data (https://github.com/millanek/fineRADstructure; last accessed February 24, 2018). Finally, with two example data sets, we illustrate its use, benefits, and robustness to missing RAD alleles in double digest RAD sequencing.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Genómica Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Genómica Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article País de afiliación: Suiza