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epiRomics

This is the released version of epiRomics; for the devel version, see epiRomics.

All versions 3.24 (devel), 3.23 (release)

Epigenomic Analysis Package Built for R (epiRomics)


Bioconductor version: Release (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 <ammawla@ucdavis.edu> 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")):

Alex M. Mawla, Mark O. Huising. epiRomics: Epigenomic Analysis Package Built for R (epiRomics). doi:10.18129/B9.bioc.epiRomics, R package version 1.0.0, https://bioconductor.org/packages/epiRomics.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

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 ManualPDF
NEWSText

Details

biocViews ATACSeq, ChIPSeq, Epigenetics, FunctionalGenomics, GeneRegulation, HistoneModification, RNASeq, Sequencing, Software, Transcription, Visualization
Version1.0.0
In Bioconductor sinceBioC 3.23 (R-4.6) (< 6 months)
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
URLhttps://huising-lab.github.io/epiRomics/ https://github.com/Huising-Lab/epiRomics
Bug Reportshttps://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_1.0.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) epiRomics_1.0.0.tgz
macOS Binary (sonoma-arm64) epiRomics_1.0.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/epiRomics
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/epiRomics
Package Short Url https://bioconductor.org/packages/epiRomics/
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