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RhierBAPS: An R implementation of the population clustering algorithm hierBAPS

Identifying structure in collections of sequence data sets remains a common problem in genomics. hierBAPS, a popular algorithm for identifying population structure in haploid genomes, has previously only been available as a MATLAB binary. We provide an R implementation which is both easier to instal...

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Detalles Bibliográficos
Autores principales: Tonkin-Hill, Gerry, Lees, John A., Bentley, Stephen D., Frost, Simon D.W., Corander, Jukka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6178908/
https://www.ncbi.nlm.nih.gov/pubmed/30345380
http://dx.doi.org/10.12688/wellcomeopenres.14694.1
Descripción
Sumario:Identifying structure in collections of sequence data sets remains a common problem in genomics. hierBAPS, a popular algorithm for identifying population structure in haploid genomes, has previously only been available as a MATLAB binary. We provide an R implementation which is both easier to install and use, automating the entire pipeline. Additionally, we allow for the use of multiple processors, improve on the default settings of the algorithm, and provide an interface with the ggtree library to enable informative illustration of the clustering results. Our aim is that this package aids in the understanding and dissemination of the method, as well as enhancing the reproducibility of population structure analyses.