metaGE: Meta-Analysis for Detecting Genotype x Environment Associations

Meta-analysis of genome-wide association studies for studying Genotype x Environment interactions. The 4 main functions of the package metaGE.collect(), metaGE.cor(), and metaGE.test() correspond to 4 steps to perform the meta-analysis: Collecting the results of genome-wide association studies data from different files; Inferring the inter-environment correlation matrix; Performing global test procedure for quantitative trait loci detection (using a Fixed or Random effect model); Performing tests of contrast or meta-regression using an environmental co-factor. (De Walsche, A., et al. (2023) <doi:10.1101/2023.03.01.530237>).

Version: 1.0.0
Depends: R (≥ 3.0.2)
Imports: circlize, ComplexHeatmap, corrplot, data.table, dplyr, emdbook, future, ggplot2, ggrepel, graphics, grid, ks, purrr, qqman, Rfast, stats, stringr, tibble, tidyr, utils, viridis
Published: 2023-03-08
Author: Annaïg De Walsche ORCID iD [aut, cre], Tristan Mary-Huard ORCID iD [aut]
Maintainer: Annaïg De Walsche < at>
License: GPL-3
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: metaGE results


Reference manual: metaGE.pdf


Package source: metaGE_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): metaGE_1.0.0.tgz, r-oldrel (arm64): metaGE_1.0.0.tgz, r-release (x86_64): metaGE_1.0.0.tgz, r-oldrel (x86_64): metaGE_1.0.0.tgz


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