GppFst: genomic posterior predictive simulations of FST and dXY for identifying outlier loci from population genomic data

被引：8

作者：

Adams, Richard H. ^{[1
]}

Schield, Drew R. ^{[1
]}

Card, Daren C. ^{[1
]}

Blackmon, Heath ^{[2
]}

Castoe, Todd A. ^{[1
]}

机构：

[1] Univ Texas Arlington, Dept Biol, Arlington, TX 76019 USA

[2] Univ Minnesota, Dept Ecol Evolut & Behav, St Paul, MN 55108 USA

来源：

BIOINFORMATICS | 2017年 / 33卷 / 09期

基金：

美国国家科学基金会;

关键词：

PACKAGE; COALESCENT; GENETICS;

D O I：

10.1093/bioinformatics/btw795

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We introduce GppFst, an open source R package that generates posterior predictive distributions of F-ST and d(x) under a neutral coalescent model to identify putative targets of selection from genomic data.

引用

页码：1414 / 1415

页数：2

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