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rehh  

Searching for Footprints of Selection using 'Extended Haplotype Homozygosity' Based Tests
View on CRAN: Click here


Download and install rehh package within the R console
Install from CRAN:
install.packages("rehh")

Install from Github:
library("remotes")
install_github("cran/rehh")

Install by package version:
library("remotes")
install_version("rehh", "3.2.2")



Attach the package and use:
library("rehh")
Maintained by
Alexander Klassmann
[Scholar Profile | Author Map]
First Published: 2012-03-15
Latest Update: 2021-09-15
Description:
Population genetic data such as 'Single Nucleotide Polymorphisms' (SNPs) is often used to identify genomic regions that have been under recent natural or artificial selection and might provide clues about the molecular mechanisms of adaptation. One approach, the concept of an 'Extended Haplotype Homozygosity' (EHH), introduced by (Sabeti 2002) , has given rise to several statistics designed for whole genome scans. The package provides functions to compute three of these, namely: 'iHS' (Voight 2006) for detecting positive or 'Darwinian' selection within a single population as well as 'Rsb' (Tang 2007) and 'XP-EHH' (Sabeti 2007) , targeted at differential selection between two populations. Various plotting functions are included to facilitate visualization and interpretation of these statistics.
How to cite:
Alexander Klassmann (2012). rehh: Searching for Footprints of Selection using 'Extended Haplotype Homozygosity' Based Tests. R package version 3.2.2, https://cran.r-project.org/web/packages/rehh. Accessed 26 Mar. 2025.
Previous versions and publish date:
1.0 (2012-03-15 15:39), 1.1 (2013-04-26 14:30), 1.11 (2013-08-26 16:18), 1.12 (2015-04-07 16:01), 1.13 (2015-05-13 19:55), 2.0.0 (2016-08-01 15:35), 2.0.1 (2016-10-25 20:47), 2.0.2 (2016-11-18 12:43), 2.0.3 (2019-02-04 13:20), 2.0.4 (2019-02-13 17:20), 3.0.0 (2019-07-09 14:00), 3.0.1 (2019-07-11 15:42), 3.1.0 (2020-03-04 11:10), 3.1.1 (2020-06-19 12:00), 3.1.2 (2020-07-17 12:30), 3.2.0 (2020-11-01 11:00), 3.2.1 (2020-11-09 23:10)
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