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RADpainter 和 fineRADstructure:基于 RADseq 数据的群体推断。

RADpainter and fineRADstructure: Population Inference from RADseq Data.

机构信息

Zoological Institute, Department of Environmental Sciences, University of Basel, Basel, Switzerland.

Wellcome Trust Sanger Institute, Cambridge, United Kingdom.

出版信息

Mol Biol Evol. 2018 May 1;35(5):1284-1290. doi: 10.1093/molbev/msy023.

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.

摘要

强大的方法来推断最近或当前的人口结构基于最近邻居单倍型“同源性”迄今为止一直无法访问用户没有高质量的全基因组单倍型数据。随着非模式生物基因组学的蓬勃发展,迫切需要将这些方法带给没有此类数据的社区。在这里,我们提出 RADpainter,这是一个新的程序,旨在从限制位点相关的 DNA 测序(RADseq)数据中推断同源性矩阵。我们将这个程序与之前发表的 MCMC 聚类算法结合在一起,形成了一个完整的、易于使用的、快速的用于 RADseq 数据的种群推断包(https://github.com/millanek/fineRADstructure;最后访问日期为 2018 年 2 月 24 日)。最后,我们用两个示例数据集来说明其用途、好处和对双酶切 RAD 测序中缺失 RAD 等位基因的稳健性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc2/5913677/a3964b73c4f5/msy023f1.jpg

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