GppFst：FST和dXY的基因组后验预测模拟，用于从群体基因组数据中识别异常位点。
GppFst: genomic posterior predictive simulations of FST and dXY for identifying outlier loci from population genomic data.
作者信息
Adams Richard H, Schield Drew R, Card Daren C, Blackmon Heath, Castoe Todd A
机构信息
Department of Biology, The University of Texas at Arlington, Arlington, TX 76019, USA.
Department of Ecology, Evolution & Behavior, University of Minnesota, Saint Paul, MN 55108, USA.
出版信息
Bioinformatics. 2017 May 1;33(9):1414-1415. doi: 10.1093/bioinformatics/btw795.
SUMMARY
We introduce GppFst, an open source R package that generates posterior predictive distributions of FST and dx under a neutral coalescent model to identify putative targets of selection from genomic data.
AVAILABILITY AND IMPLEMENTATION
GppFst is available at ( https://github.com/radamsRHA/GppFst ).
CONTACT
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
摘要
我们介绍了GppFst，这是一个开源的R包，它在中性合并模型下生成FST和dx的后验预测分布，以从基因组数据中识别潜在的选择目标。
可用性和实现方式
GppFst可在(https://github.com/radamsRHA/GppFst)获取。
联系方式
补充信息
补充数据可在《生物信息学》在线获取。
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