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CMEnt

This is the development version of CMEnt; to use it, please install the devel version of Bioconductor.

Characterization of Methylation using positional ENTanglement


Bioconductor version: Development (3.24)

CMEnt implements a correlation-based method for identifying Differentially Methylated Regions (DMRs) from genomic seeds, commonly Differentially Methylated Positions (DMPs). The package expands regions around significant seeds considering both statistical significance and biological relevance of methylation changes. It supports array-based (450K, EPIC, EPICv2) and NGS methylation data through tabix-indexed files, provides DMR interaction analysis via motif similarity, and includes comprehensive visualization tools including circos plots and beta value heatmaps.

Author: Vasileios Lemonidis [aut, cre, cph] ORCID iD ORCID: 0000-0002-6446-3536 , Center for Oncological Research, University of Antwerp [cph, fnd], Stichting Tegen Kanker [fnd]

Maintainer: Vasileios Lemonidis <vasileios.lemonidis at uantwerpen.be>

Citation (from within R, enter citation("CMEnt")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("CMEnt")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CMEnt")
CMEnt Configuration HTML R Script
CMEnt End-to-End Example HTML R Script
Reference Manual PDF
NEWS Text
INSTALL Text

Details

biocViews Annotation, DNAMethylation, DifferentialMethylation, Epigenetics, MethylationArray, MotifAnnotation, Software, StatisticalMethod, WorkflowStep
Version 0.99.15
In Bioconductor since BioC 3.24 (R-4.6)
License GPL (>= 2)
Depends R (>= 4.6.0)
Imports AnnotationDbi, bedr, BiocGenerics, BiocFileCache, BiocParallel, Biostrings, BSgenome, bslib (>= 0.5.0), bsseq, callr, circlize, cli, colorspace, ComplexHeatmap, data.table, DelayedArray, DelayedDataFrame, DT, e1071, filelock, FNN, futile.logger, GenomeInfoDb, GenomicFeatures, GenomicRanges, ggplot2, ggseqlogo, graphics, grDevices, gridBase, gridExtra, HDF5Array, igraph, inline, IRanges, jsonlite, limma, matrixStats, methods, plotly, R.utils, R6, rhdf5, reshape2, rtracklayer, S4Vectors, shiny (>= 1.7.0), shinycssloaders, showtext, stats, strex, stringr, SummarizedExperiment, TFBSTools, tools, utils, withr
System Requirements tabix, bgzip, GNU sort
URL https://cmg-ua.github.io/CMEnt/ https://github.com/CMG-UA/CMEnt
Bug Reports https://github.com/CMG-UA/CMEnt/issues
See More
Suggests bsseqData, DMRsegaldata, ExperimentHub, ggnewscale, IlluminaHumanMethylation27kanno.ilmn12.hg19, IlluminaHumanMethylation450kanno.ilmn12.hg19, IlluminaHumanMethylationEPICanno.ilm10b4.hg19, IlluminaHumanMethylationEPICv2anno.20a1.hg38, BiocManager, devtools, DSS, knitr, pkgdown, rmarkdown, BiocStyle, magick, minfi, testthat (>= 3.0.0), mockery, DMRcate, doParallel, bumphunter, tidyr, scales, UpSetR, TxDb.Hsapiens.UCSC.hg19.knownGene, TxDb.Hsapiens.UCSC.hg38.knownGene, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.UCSC.hg38, BSgenome.Hsapiens.UCSC.hs1, BSgenome.Mmusculus.UCSC.mm10, BSgenome.Mmusculus.UCSC.mm39, org.Hs.eg.db, org.Mm.eg.db, JASPAR2024, optparse, pkgload
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package CMEnt_0.99.15.tar.gz
Windows Binary (x86_64) CMEnt_0.99.15.zip
macOS Binary (big-sur-x86_64) CMEnt_0.99.15.tgz
macOS Binary (sonoma-arm64) CMEnt_0.99.15.tgz
Source Repository git clone https://git.bioconductor.org/packages/CMEnt
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CMEnt
Bioc Package Browser https://code.bioconductor.org/browse/CMEnt/
Package Short Url https://bioconductor.org/packages/CMEnt/
Package Downloads Report Download Stats