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geneNR: Automated Gene Identification for Post-GWAS and QTL Analysis

Facilitates the post-Genome Wide Association Studies (GWAS) and Quantitative Trait Loci (QTL) analysis of identifying candidate genes within user-defined search window, based on the identified Single Nucleotide Polymorphisms (SNPs) as given by Mazumder AK (2024) <doi:10.1038/s41598-024-66903-3>. It supports candidate gene analysis for wheat and rice. Just import your GWAS result as explained in the sample_data file and the function does all the manual search and retrieve candidate genes for you, while exporting the results into ready-to-use output.

Version:2.0.1
Depends:R (≥ 3.5)
Imports:readr,stringr, utils,httr,rvest,xml2,writexl,vcfR,ggplot2,ggrepel
Suggests:knitr,rmarkdown,devtools
Published:2025-03-29
DOI:10.32614/CRAN.package.geneNR
Author:Rajamani Nirmalaruban [aut, cre, cph], R. Suvitha [aut], Rajbir Yadav [aut], Meda Alekya [aut], Amit Kumar Mazumder [aut], Subramani Sugumar [aut], Prashanth babu [aut], Manjeet Kumar [aut], Kiran B Gaikwad [aut], Naresh Kumar Bainsla [aut], S. Bhaskar Reddy [aut]
Maintainer:Rajamani Nirmalaruban <nirmalaruban97 at gmail.com>
License:CC BY 4.0
Copyright:(C) 2025 Nirmalaruban
NeedsCompilation:no
Materials:NEWS
CRAN checks:geneNR results

Documentation:

Reference manual:geneNR.html ,geneNR.pdf
Vignettes:Introduction of 'geneNR' (source,R code)

Downloads:

Package source: geneNR_2.0.1.tar.gz
Windows binaries: r-devel:geneNR_2.0.1.zip, r-release:geneNR_2.0.1.zip, r-oldrel:geneNR_2.0.1.zip
macOS binaries: r-release (arm64):geneNR_2.0.1.tgz, r-oldrel (arm64):geneNR_2.0.1.tgz, r-release (x86_64):geneNR_2.0.1.tgz, r-oldrel (x86_64):geneNR_2.0.1.tgz
Old sources: geneNR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=geneNRto link to this page.


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