4.8 Article

RADpainter and fineRADstructure Population Inference from RADseq Data

期刊

MOLECULAR BIOLOGY AND EVOLUTION
卷 35, 期 5, 页码 1284-1290

出版社

OXFORD UNIV PRESS
DOI: 10.1093/molbev/msy023

关键词

population structure; RAD-seq; inference

资金

  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

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据