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

Richard H. Adams; Drew R. Schield; Daren C. Card; Heath Blackmon; Todd A. Castoe

doi:10.1093/bioinformatics/btw795

GppFst: Genomic posterior predictive simulations of F_ST and d_xy for identifying outlier loci from population genomic data

Richard H. Adams
, Drew R. Schield
, Daren C. Card
, Heath Blackmon
, Todd A. Castoe

Administration (CBS)

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	1414-1415
Number of pages	2
Journal	Bioinformatics
Volume	33
Issue number	9
DOIs	https://doi.org/10.1093/bioinformatics/btw795
State	Published - May 1 2017

Bibliographical note

Publisher Copyright:
© The Author 2016. Published by Oxford University Press. All rights reserved.

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10.1093/bioinformatics/btw795

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title = "GppFst: Genomic posterior predictive simulations of FST and dxy for identifying outlier loci from population genomic data",

abstract = "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.",

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AU - Blackmon, Heath

AU - Castoe, Todd A.

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