methodical

Discovering genomic regions where methylation is strongly associated with transcriptional activity


Bioconductor version: Release (3.20)

DNA methylation is generally considered to be associated with transcriptional silencing. However, comprehensive, genome-wide investigation of this relationship requires the evaluation of potentially millions of correlation values between the methylation of individual genomic loci and expression of associated transcripts in a relatively large numbers of samples. Methodical makes this process quick and easy while keeping a low memory footprint. It also provides a novel method for identifying regions where a number of methylation sites are consistently strongly associated with transcriptional expression. In addition, Methodical enables housing DNA methylation data from diverse sources (e.g. WGBS, RRBS and methylation arrays) with a common framework, lifting over DNA methylation data between different genome builds and creating base-resolution plots of the association between DNA methylation and transcriptional activity at transcriptional start sites.

Author: Richard Heery [aut, cre]

Maintainer: Richard Heery <richardheery at gmail.com>

Citation (from within R, enter citation("methodical")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("methodical")

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

Documentation

Reference Manual PDF
NEWS Text
INSTALL Text
LICENSE Text

Details

biocViews DNAMethylation, GenomeWideAssociation, MethylationArray, Software, Transcription
Version 1.1.0
In Bioconductor since BioC 3.19 (R-4.4) (0.5 years)
License GPL (>= 3)
Depends GenomicRanges, ggplot2, R (>= 4.2.0), SummarizedExperiment
Imports BiocParallel, Biostrings, BSgenome, cowplot, data.table, DelayedArray, dplyr, ExperimentHub, foreach, GenomeInfoDb, HDF5Array, IRanges, R.utils, RcppRoll, rhdf5, rtracklayer, S4Vectors, scales, tibble, tidyr
System Requirements kallisto
URL https://github.com/richardheery/methodical
Bug Reports https://github.com/richardheery/methodical/issues
See More
Suggests AnnotationHub, annotatr, BiocStyle, BSgenome.Athaliana.TAIR.TAIR9, BSgenome.Hsapiens.UCSC.hg19, BSgenome.Hsapiens.UCSC.hg38, DESeq2, knitr, methrix, rmarkdown, TumourMethData
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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) methodical_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/methodical
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/methodical
Bioc Package Browser https://code.bioconductor.org/browse/methodical/
Package Short Url https://bioconductor.org/packages/methodical/
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