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.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

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