MIRA
Methylation-Based Inference of Regulatory Activity
Bioconductor version: 3.23 · Package version: 1.34.0
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
| Maintainer | John Lawson <jtl2hk@virginia.edu> |
| Author | Nathan Sheffield <http://www.databio.org> [aut], Christoph Bock [ctb], John Lawson [aut, cre] |
| License | GPL-3 |
| URL | http://databio.org/mira |
| Bug Reports | https://github.com/databio/MIRA |
| Downloads rank | 553 |
| Source branch | RELEASE_3_23 |
| biocViews | ChIPSeq, Coverage, DNAMethylation, Epigenetics, FunctionalGenomics, GeneRegulation, GenomeAnnotation, ImmunoOncology, MethylSeq, Sequencing, Software, SystemsBiology |
Documentation
- Applying MIRA to a Biological Question
- Getting Started with Methylation-based Inference of Regulatory Activity
Download
Follow the installation instructions to use this package in your R session.
| Source package | MIRA_1.34.0.tar.gz |
| Windows binary (x86_64) | MIRA_1.34.0.zip |
| macOS binary (arm64) | MIRA_1.34.0.tgz |
| macOS binary (x86_64) | MIRA_1.34.0.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