Learn R Programming

SweepDiscovery (version 0.1.1)

Selective Sweep Discovery Tool

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 in 'GitHub'. This package has been developed by using the concept of Pavlidis and Alachiotis (2017) .

Copy Link

Version

Install

install.packages('SweepDiscovery')

Monthly Downloads

115

Version

0.1.1

License

GPL-3

Maintainer

Abhik Sarkar

Last Published

December 14th, 2023

Functions in SweepDiscovery (0.1.1)

SweepPrediction

SweepPrediction