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RhierBAPS: An R implementation of the population clustering algorithm hierBAPS.


ABSTRACT: 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.

SUBMITTER: Tonkin-Hill G 

PROVIDER: S-EPMC6178908 | biostudies-other | 2018

REPOSITORIES: biostudies-other

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RhierBAPS: An R implementation of the population clustering algorithm hierBAPS.

Tonkin-Hill Gerry G   Lees John A JA   Bentley Stephen D SD   Frost Simon D W SDW   Corander Jukka J  

Wellcome open research 20180730


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  ...[more]

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