Selective Sweep Discovery Tool
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-05-10
- WARNING12 OK, 1 WARNING2026-05-09
- OK14 OK2026-03-10
Documentation
- Help pages
- 1
- Examples that run
- 0%1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing SweepDiscovery adds 1 package (1 with compiled code, 80 KB of source tarballs). Heaviest: randomForest 80 KB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.1Latest2023-12-14 · current release
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-12-14
- Total releases
- 1 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 1.6 MB
Cite
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Run in R for the authors' preferred citation:
citation("SweepDiscovery")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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