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

abstract

• 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: todd.castoe@uta.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

authors

• Blackmon, Heath

published proceedings

• Bioinformatics

altmetric score

• 94.066

author list (cited authors)

• Adams, R. H., Schield, D. R., Card, D. C., Blackmon, H., & Castoe, T. A.

citation count

• 4

complete list of authors

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

editor list (cited editors)

• Stegle, O.

publication date

• May 2017

publisher

• Oxford University Press (OUP)  Publisher

published in

• Bioinformatics  Journal

keywords

• Algorithms
• Animals
• Crotalus
• Genetic Loci
• Genetics, Population
• Genome
• Genomics
• Models, Genetic
• Polymorphism, Single Nucleotide
• Software

PubMed Central ID

• 28453670

Digital Object Identifier (DOI)

• 10.1093/bioinformatics/btw795

start page

• 1414

end page

• 1415

volume

• 33

issue

• 9

URL

• http://dx.doi.org/10.1093/bioinformatics/btw795