MAGAR
This is the development version of MAGAR; for the stable release version, see MAGAR.
MAGAR: R-package to compute methylation Quantitative Trait Loci (methQTL) from DNA methylation and genotyping data
Bioconductor version: Development (3.21)
"Methylation-Aware Genotype Association in R" (MAGAR) computes methQTL from DNA methylation and genotyping data from matched samples. MAGAR uses a linear modeling stragety to call CpGs/SNPs that are methQTLs. MAGAR accounts for the local correlation structure of CpGs.
Author: Michael Scherer [cre, aut] (ORCID:
Maintainer: Michael Scherer <michael.scherer at dkfz.de>
citation("MAGAR")
):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("MAGAR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | BatchEffect, Clustering, CopyNumberVariation, CpGIsland, DNAMethylation, DataImport, DifferentialMethylation, Epigenetics, GeneticVariability, GraphAndNetwork, ImmunoOncology, MethylSeq, MethylationArray, Microarray, Network, Preprocessing, QualityControl, Regression, SNP, Sequencing, Software, TwoChannel, mRNAMicroarray |
Version | 1.15.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (3.5 years) |
License | GPL-3 |
Depends | R (>= 4.1), HDF5Array, RnBeads, snpStats, crlmm |
Imports | doParallel, igraph, bigstatsr, rjson, plyr, data.table, UpSetR, reshape2, jsonlite, methods, ff, argparse, impute, RnBeads.hg19, RnBeads.hg38, utils, stats |
System Requirements | |
URL | https://github.com/MPIIComputationalEpigenetics/MAGAR |
Bug Reports | https://github.com/MPIIComputationalEpigenetics/MAGAR/issues |
See More
Suggests | gridExtra, VennDiagram, qqman, LOLA, RUnit, rmutil, rmarkdown, JASPAR2018, TFBSTools, seqLogo, knitr, devtools, BiocGenerics, BiocManager |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/MAGAR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MAGAR |
Package Short Url | https://bioconductor.org/packages/MAGAR/ |
Package Downloads Report | Download Stats |