SweepDiscovery: Selective Sweep Discovery Tool

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 of Pavlidis and Alachiotis (2017) <doi:10.1186/s40709-017-0064-0>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: stats, utils, randomForest
Published: 2023-12-14
Author: Abhik Sarkar [aut, cre], Dwijesh Chandra Mishra [aut], Dipro Sinha [aut], Saikath Das [aut], Md Yeasin [aut]
Maintainer: Abhik Sarkar <abhik.jenkins.sarkar at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: SweepDiscovery results

Documentation:

Reference manual: SweepDiscovery.pdf

Downloads:

Package source: SweepDiscovery_0.1.1.tar.gz
Windows binaries: r-prerel: SweepDiscovery_0.1.1.zip, r-release: SweepDiscovery_0.1.1.zip, r-oldrel: SweepDiscovery_0.1.1.zip
macOS binaries: r-prerel (arm64): SweepDiscovery_0.1.1.tgz, r-release (arm64): SweepDiscovery_0.1.1.tgz, r-oldrel (arm64): SweepDiscovery_0.1.1.tgz, r-prerel (x86_64): SweepDiscovery_0.1.1.tgz, r-release (x86_64): SweepDiscovery_0.1.1.tgz

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