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rehh 2.0: a reimplementation of the R package rehh to detect positive selection from haplotype structure

Mathieu Gautier, Alexander Klassmann, Renaud Vitalis
doi: https://doi.org/10.1101/067629
Mathieu Gautier
1INRA, UMR CBGP, F-34988 Montferrier-sur-Lez, France
2Institut de Biologie Computationnelle, F-34095 Montpellier, France
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Alexander Klassmann
3Universität zu Köln, D-50674 Köln, Germany
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Renaud Vitalis
1INRA, UMR CBGP, F-34988 Montferrier-sur-Lez, France
2Institut de Biologie Computationnelle, F-34095 Montpellier, France
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Abstract

Identifying genomic regions with unusually high local haplotype homozygosity represents a powerful strategy to characterize candidate genes responding to natural or artificial positive selection. To that end, statistics measuring the extent of haplotype homozygosity within (e.g., EHH, iHS) and between (Rsb or XP-EHH) populations have been proposed in the literature. The rehh package for R was previously developed to facilitate genome-wide scans of selection, based on the analysis of long-range haplotypes. However, its performance wasn’t sufficient to cope with the growing size of available data sets. Here we propose a major upgrade of the rehh package, which includes an improved processing of the input files, a faster algorithm to enumerate haplotypes, as well as multi-threading. As illustrated with the analysis of large human haplotype data sets, these improvements decrease the computation time by more than an order of magnitude. This new version of rehh will thus allow performing iHS-, Rsb- or XP-EHH-based scans on large data sets. The package rehh 2.0 is available from the CRAN repository (http://cran.r-project.org/web/packages/rehh/index.html) together with help files and a detailed manual.

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Posted August 03, 2016.
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rehh 2.0: a reimplementation of the R package rehh to detect positive selection from haplotype structure
Mathieu Gautier, Alexander Klassmann, Renaud Vitalis
bioRxiv 067629; doi: https://doi.org/10.1101/067629
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rehh 2.0: a reimplementation of the R package rehh to detect positive selection from haplotype structure
Mathieu Gautier, Alexander Klassmann, Renaud Vitalis
bioRxiv 067629; doi: https://doi.org/10.1101/067629

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