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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.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-devel (arm64): geneNR_2.0.1.tgz, r-release (arm64): geneNR_2.0.1.tgz, r-oldrel (arm64): geneNR_2.0.1.tgz, r-devel (x86_64): 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:

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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.
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