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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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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
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author Tonkin-Hill, Gerry
Lees, John A.
Bentley, Stephen D.
Frost, Simon D.W.
Corander, Jukka
author_facet Tonkin-Hill, Gerry
Lees, John A.
Bentley, Stephen D.
Frost, Simon D.W.
Corander, Jukka
author_sort Tonkin-Hill, Gerry
collection PubMed
description 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.
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spelling pubmed-61789082018-10-19 RhierBAPS: An R implementation of the population clustering algorithm hierBAPS Tonkin-Hill, Gerry Lees, John A. Bentley, Stephen D. Frost, Simon D.W. Corander, Jukka Wellcome Open Res Software Tool Article 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. F1000 Research Limited 2018-07-30 /pmc/articles/PMC6178908/ /pubmed/30345380 http://dx.doi.org/10.12688/wellcomeopenres.14694.1 Text en Copyright: © 2018 Tonkin-Hill G et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Tonkin-Hill, Gerry
Lees, John A.
Bentley, Stephen D.
Frost, Simon D.W.
Corander, Jukka
RhierBAPS: An R implementation of the population clustering algorithm hierBAPS
title RhierBAPS: An R implementation of the population clustering algorithm hierBAPS
title_full RhierBAPS: An R implementation of the population clustering algorithm hierBAPS
title_fullStr RhierBAPS: An R implementation of the population clustering algorithm hierBAPS
title_full_unstemmed RhierBAPS: An R implementation of the population clustering algorithm hierBAPS
title_short RhierBAPS: An R implementation of the population clustering algorithm hierBAPS
title_sort rhierbaps: an r implementation of the population clustering algorithm hierbaps
topic Software Tool Article
url 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
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