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

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

Open Access

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

Author(s) -

Richard H. Adams,

Drew R. Schield,

Daren C. Card,

Heath Blackmon,

Todd A. Castoe

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw795

Subject(s) - coalescent theory , genomic selection , selection (genetic algorithm) , outlier , computational biology , open source , computer science , r package , population , biology , genetics , software , artificial intelligence , gene , phylogenetics , programming language , demography , sociology , genotype , single nucleotide polymorphism

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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