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

Journal ArticleOPEN ACCESS

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

Adams R
Schield D
Card D
et al.

Bioinformatics (2017) 33(9) 1414-1415

DOI: 10.1093/bioinformatics/btw795

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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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APA

Adams, R. H., Schield, D. R., Card, D. C., Blackmon, H., & Castoe, T. A. (2017). GppFst: Genomic posterior predictive simulations of FST and dxy for identifying outlier loci from population genomic data. Bioinformatics, 33(9), 1414–1415. https://doi.org/10.1093/bioinformatics/btw795

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

Abstract

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