Bioconductor 3.23 Release Schedule

epiRomics

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

Epigenomic Analysis Package Built for R (epiRomics)


Bioconductor version: Development (3.23)

Integrates various levels of epigenomic information, including ChIP-seq, histone modification, ATAC-seq, and RNA-seq data. Regulatory network analysis uses combinatory approaches to infer regions of significance, such as enhancers. Downstream analysis identifies co-occurrence of epigenomic data at regions of interest. Visualization functions display multi-track genomic views with signal overlays. Please contact for suggestions, feedback, or bug reporting.

Author: Alex M. Mawla [aut, cre] ORCID iD ORCID: 0000-0003-0907-464X , Mark O. Huising [aut] ORCID iD ORCID: 0000-0002-6594-2205

Maintainer: Alex M. Mawla <ammawla at ucdavis.edu>

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

Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("epiRomics")

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("epiRomics")
Getting Started with epiRomics HTML R Script
Reference Manual PDF

Details

biocViews ATACSeq, ChIPSeq, Epigenetics, FunctionalGenomics, GeneRegulation, HistoneModification, RNASeq, Sequencing, Software, Transcription, Visualization
Version 0.99.5
In Bioconductor since BioC 3.23 (R-4.6)
License Artistic-2.0
Depends R (>= 4.5.0)
Imports AnnotationDbi(>= 1.68.0), annotatr(>= 1.32.0), BiocGenerics(>= 0.52.0), ChIPseeker(>= 1.42.0), data.table (>= 1.15.0), digest (>= 0.6.35), GenomeInfoDb(>= 1.42.0), GenomicFeatures(>= 1.58.0), GenomicRanges(>= 1.58.0), graphics, grDevices, IRanges(>= 2.40.0), methods, rtracklayer(>= 1.66.0), S4Vectors(>= 0.44.0), stats, tools, utils
System Requirements
URL https://huising-lab.github.io/epiRomics/ https://github.com/Huising-Lab/epiRomics
Bug Reports https://github.com/Huising-Lab/epiRomics/issues
See More
Suggests BiocFileCache(>= 2.14.0), knitr, org.Hs.eg.db(>= 3.20.0), org.Mm.eg.db(>= 3.20.0), parallel, rmarkdown, testthat (>= 3.0.0), TxDb.Hsapiens.UCSC.hg38.knownGene(>= 3.18.0), TxDb.Mmusculus.UCSC.mm10.knownGene(>= 3.10.0)
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Package Archives

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

Source Package epiRomics_0.99.5.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64) epiRomics_0.99.5.tgz
Source Repository git clone https://git.bioconductor.org/packages/epiRomics
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/epiRomics
Bioc Package Browser https://code.bioconductor.org/browse/epiRomics/
Package Short Url https://bioconductor.org/packages/epiRomics/
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