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MIRA

Methylation-Based Inference of Regulatory Activity

Bioconductor version: 3.24 · Package version: 1.35.0

DNA methylation contains information about the regulatory state of the cell. MIRA aggregates genome-scale DNA methylation data into a DNA methylation profile for a given region set with shared biological annotation. Using this profile, MIRA infers and scores the collective regulatory activity for the region set. MIRA facilitates regulatory analysis in situations where classical regulatory assays would be difficult and allows public sources of region sets to be leveraged for novel insight into the regulatory state of DNA methylation datasets.

Installation

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

BiocManager::install("MIRA")

Details

MaintainerJohn Lawson <jtl2hk@virginia.edu>
AuthorNathan Sheffield <http://www.databio.org> [aut], Christoph Bock [ctb], John Lawson [aut, cre]
LicenseGPL-3
URLhttp://databio.org/mira
Bug Reportshttps://github.com/databio/MIRA
Downloads rank553
Source branchdevel
biocViewsChIPSeq, Coverage, DNAMethylation, Epigenetics, FunctionalGenomics, GeneRegulation, GenomeAnnotation, ImmunoOncology, MethylSeq, Sequencing, Software, SystemsBiology

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMIRA_1.35.0.tar.gz
Windows binary (x86_64)MIRA_1.35.0.zip
macOS binary (arm64)MIRA_1.35.0.tgz
macOS binary (x86_64)MIRA_1.35.0.tgz
Dependencies

Depends: R (>= 3.5)

Imports: BiocGenerics, S4Vectors, IRanges, GenomicRanges, data.table, ggplot2, Biobase, stats, bsseq, methods

Suggests: knitr, parallel, testthat, BiocStyle, rmarkdown, AnnotationHub, LOLA

Reverse dependencies

Imports Me (1): COCOA