4.8 Article

RADpainter and fineRADstructure Population Inference from RADseq Data

Journal

MOLECULAR BIOLOGY AND EVOLUTION
Volume 35, Issue 5, Pages 1284-1290

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/molbev/msy023

Keywords

population structure; RAD-seq; inference

Funding

  1. Medical Research Council [MR/M501608/1]
  2. Austrian Climate Research Programme [ACRP5-EpiChange-KR12AC5K01286]
  3. Austrian Science Fund (FWF) [Y661-B16]
  4. Royal Society grant [WT104125MA]
  5. Wellcome Trust [WT104125MA, 097677/Z/11/Z]
  6. Wellcome Trust [097677/Z/11/Z] Funding Source: Wellcome Trust
  7. MRC [MR/L015080/1] Funding Source: UKRI
  8. Medical Research Council [MR/L015080/1, MR/M501608/1, MR/M501608/2] Funding Source: researchfish

Ask authors/readers for more resources

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-siteassociated 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available