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RADpainter and fineRADstructure: Population Inference from RADseq Data

Open access
Malinsky, Milan, Trucchi, Emiliano, Lawson, Daniel John, Falush, Daniel·2018·Molecular Biology and Evolution

Abstract

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.

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Metadata

Authors
Malinsky, M., Trucchi, E., Lawson, D. J., & Falush, D.
Venue
Molecular Biology and Evolution
Published
2018-02-20
Volume
35
Issue
5
Pages
1284-1290
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2950223396
Cited by
406
References
15
FWCI
18.74
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: RADpainter and fineRADstructure: Population Inference from RADseq Data. https://app.cochat.ai/papers/10.1093/molbev/msy023
The paper
Malinsky, M., Trucchi, E., Lawson, D. J., & Falush, D. (2018). RADpainter and fineRADstructure: Population Inference from RADseq Data. Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msy023

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