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bioRxiv · 10.1101/067629

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

Mathieu Gautier·Alexander Klassmann·Renaud Vitalis
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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 O_SCPLOWREHHC_SCPLOW package for R was previously developed to facilitate genome-wide scans of selection, based on the analysis of long-range haplotypes. However, its performance wasnt sufficient to cope with the growing size of available data sets. Here we propose a major upgrade of the O_SCPLOWREHHC_SCPLOW 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 O_SCPLOWREHHC_SCPLOW will thus allow performing iHS-, Rsb- or XP-EHH-based scans on large data sets. The package O_SCPLOWREHHC_SCPLOW 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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Mathieu Gautier, Alexander Klassmann, Renaud Vitalis. 2016-08-03. rehh 2.0: a reimplementation of the R package rehh to detect positive selection from haplotype structure.. https://doi.org/10.1101/067629

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