RADpainter and fineRADstructure: Population Inference from RADseq Data

Milan Malinsky, Emiliano Trucchi, Daniel John Lawson, Daniel Falush

Research output: Contribution to journalArticlepeer-review

236 Citations (SciVal)


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.

Original languageEnglish
Pages (from-to)1284-1290
Number of pages7
JournalMolecular Biology and Evolution
Issue number5
Early online date20 Feb 2018
Publication statusPublished - 1 May 2018


  • Inference
  • Population structure
  • RAD-seq

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Genetics


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