This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see MethReg.
Bioconductor version: 3.15
Epigenome-wide association studies (EWAS) detects a large number of DNA methylation differences, often hundreds of differentially methylated regions and thousands of CpGs, that are significantly associated with a disease, many are located in non-coding regions. Therefore, there is a critical need to better understand the functional impact of these CpG methylations and to further prioritize the significant changes. MethReg is an R package for integrative modeling of DNA methylation, target gene expression and transcription factor binding sites data, to systematically identify and rank functional CpG methylations. MethReg evaluates, prioritizes and annotates CpG sites with high regulatory potential using matched methylation and gene expression data, along with external TF-target interaction databases based on manually curation, ChIP-seq experiments or gene regulatory network analysis.
Author: Tiago Silva [aut, cre] , Lily Wang [aut]
Maintainer: Tiago Silva <tiagochst at gmail.com>
Citation (from within R,
enter citation("MethReg")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MethReg")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MethReg")
HTML | R Script | MethReg: estimating regulatory potential of DNA methylation in gene transcription |
Reference Manual | ||
Text | NEWS |
biocViews | Epigenetics, GeneExpression, GeneTarget, MethylationArray, Regression, Software, Transcription |
Version | 1.6.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (2 years) |
License | GPL-3 |
Depends | R (>= 4.0) |
Imports | dplyr, plyr, GenomicRanges, SummarizedExperiment, DelayedArray, ggplot2, ggpubr, tibble, tidyr, S4Vectors, sesameData, sesame, AnnotationHub, ExperimentHub, stringr, readr, methods, stats, Matrix, MASS, rlang, pscl, IRanges, sfsmisc, progress, utils |
LinkingTo | |
Suggests | rmarkdown, BiocStyle, testthat (>= 2.1.0), parallel, downloader, R.utils, doParallel, reshape2, JASPAR2020, TFBSTools, motifmatchr, matrixStats, biomaRt, dorothea, viper, stageR, BiocFileCache, png, htmltools, knitr, jpeg, BSgenome.Hsapiens.UCSC.hg38, BSgenome.Hsapiens.UCSC.hg19 |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/TransBioInfoLab/MethReg/issues/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | MethReg_1.6.0.tar.gz |
Windows Binary | MethReg_1.6.0.zip |
macOS Binary (x86_64) | MethReg_1.6.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MethReg |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MethReg |
Package Short Url | https://bioconductor.org/packages/MethReg/ |
Package Downloads Report | Download Stats |
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