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SweepDiscovery
View on CRAN: Click
here
Download and install SweepDiscovery package within the R console
Install from CRAN:
install.packages("SweepDiscovery")
Install from Github:
library("remotes")
install_github("cran/SweepDiscovery")
Install by package version:
library("remotes")
install_version("SweepDiscovery", "0.1.1")
Attach the package and use:
library("SweepDiscovery")
Maintained by
Abhik Sarkar
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-14
Latest Update: 2023-12-14
Description:
Selective sweep is a biological phenomenon in which genetic variation between neighboring beneficial mutant alleles is swept away due to the effect of genetic hitchhiking. Detection of selective sweep is not well acquainted as well as it is a laborious job. This package is a user friendly approach for detecting selective sweep in genomic regions. It uses a Random Forest based machine learning approach to predict selective sweep from VCF files as an input. Input of this function, train data and new data, can be computed using the project <https://github.com/AbhikSarkar1999/SweepDiscovery> in 'GitHub'. This package has been developed by using the concept ofPavlidis and Alachiotis (2017) <doi:10.1186/s40709-017-0064-0>.
How to cite:
Abhik Sarkar (2023). SweepDiscovery: Selective Sweep Discovery Tool. R package version 0.1.1, https://cran.r-project.org/web/packages/SweepDiscovery. Accessed 07 Nov. 2024.
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