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geneNR: Automated Gene Identification for Post-GWAS Analysis

Facilitates the post-Genome Wide Association Studies (GWAS) 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: 1.0.1
Depends: R (≥ 3.5)
Imports: readr, stringr, utils, httr, rvest, xml2, writexl
Suggests: knitr, rmarkdown, devtools
Published: 2025-03-10
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
CRAN checks: geneNR results

Documentation:

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

Downloads:

Package source: geneNR_1.0.1.tar.gz
Windows binaries: r-devel: geneNR_1.0.1.zip, r-release: geneNR_1.0.1.zip, r-oldrel: not available
macOS binaries: r-devel (arm64): geneNR_1.0.1.tgz, r-release (arm64): geneNR_1.0.1.tgz, r-oldrel (arm64): geneNR_1.0.1.tgz, r-devel (x86_64): geneNR_1.0.1.tgz, r-release (x86_64): geneNR_1.0.1.tgz, r-oldrel (x86_64): geneNR_1.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=geneNR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.