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methodical

Discovering genomic regions where methylation is strongly associated with transcriptional activity

Bioconductor version: 3.23 · Package version: 1.8.0

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.

Installation

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

BiocManager::install("methodical")

Details

MaintainerRichard Heery <richardheery@gmail.com>
AuthorRichard Heery [aut, cre] (ORCID: <https://orcid.org/0000-0001-8067-3114>)
LicenseGPL (>= 3)
URLhttps://github.com/richardheery/methodical
Bug Reportshttps://github.com/richardheery/methodical/issues
Downloads rank177
Source branchRELEASE_3_23
biocViewsDNAMethylation, GenomeWideAssociation, MethylationArray, Software, Transcription

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Dependencies

Depends: GenomicRanges, ggplot2, R (>= 4.0), SummarizedExperiment

Imports: AnnotationHub, BiocCheck, BiocManager, BiocParallel, BiocStyle, Biostrings, BSgenome, bsseq, cowplot, data.table, DelayedArray, devtools, dplyr, ExperimentHub, foreach, GenomeInfoDb, HDF5Array, IRanges, knitr, MatrixGenerics, R.utils, rcmdcheck, RcppRoll, remotes, rhdf5, rtracklayer, S4Vectors, scales, tibble, tidyr, tools, TumourMethData, usethis

Suggests: rmarkdown