mlmm.gwas: Pipeline for GWAS Using MLMM

Pipeline for Genome-Wide Association Study using Multi-Locus Mixed Model from Segura V, Vilhjálmsson BJ et al. (2012) <doi:10.1038/ng.2314>. The pipeline include detection of associated SNPs with MLMM, model selection by lowest eBIC and p-value threshold, estimation of the effects of the SNPs in the selected model and graphical functions.

Version: 1.0.6
Depends: R (≥ 3.3.0)
Imports: multcompView (≥ 0.1-7), multcomp (≥ 1.4-8), coxme (≥ 2.2-5), sommer (≥ 3.2), Matrix (≥ 1.2-10)
Suggests: knitr, rmarkdown
Published: 2019-08-05
Author: Fanny Bonnafous [aut], Alexandra Duhnen [aut], Louise Gody [aut], Olivier Guillaume[aut, cre], Brigitte Mangin [aut], Prune Pegot-Espagnet [aut], Vincent Segura [aut], Bjarni J. Vilhjalmsson [aut], Clement Mabire [aut], Timothee Flutre [aut]
Maintainer: Clement Mabire <clement.mabire at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: mlmm.gwas results


Reference manual: mlmm.gwas.pdf
Vignettes: GWAS pipeline manual
Package source: mlmm.gwas_1.0.6.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: mlmm.gwas_1.0.6.tgz, r-release: mlmm.gwas_1.0.6.tgz, r-oldrel: mlmm.gwas_1.0.6.tgz
Old sources: mlmm.gwas archive


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