DegCre

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

Probabilistic association of DEGs to CREs from differential data


Bioconductor version: Release (3.20)

DegCre generates associations between differentially expressed genes (DEGs) and cis-regulatory elements (CREs) based on non-parametric concordance between differential data. The user provides GRanges of DEG TSS and CRE regions with differential p-value and optionally log-fold changes and DegCre returns an annotated Hits object with associations and their calculated probabilities. Additionally, the package provides functionality for visualization and conversion to other formats.

Author: Brian S. Roberts [aut, cre]

Maintainer: Brian S. Roberts <brianroberts1976 at yahoo.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("DegCre")

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("DegCre")
DegCre Introduction and Examples HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews ATACSeq, ChIPSeq, DNaseSeq, GeneExpression, GeneRegulation, RNASeq, Software
Version 1.2.0
In Bioconductor since BioC 3.19 (R-4.4) (0.5 years)
License MIT + file LICENSE
Depends R (>= 4.4)
Imports GenomicRanges, InteractionSet, plotgardener, S4Vectors, stats, graphics, grDevices, BiocGenerics, GenomeInfoDb, IRanges, BiocParallel, qvalue, TxDb.Hsapiens.UCSC.hg38.knownGene, org.Hs.eg.db, utils
System Requirements
URL https://github.com/brianSroberts/DegCre
Bug Reports https://github.com/brianSroberts/DegCre/issues
See More
Suggests BSgenome, BSgenome.Hsapiens.UCSC.hg38, BiocStyle, magick, knitr, rmarkdown, TxDb.Mmusculus.UCSC.mm10.knownGene, testthat (>= 3.0.0)
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Package Archives

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

Source Package DegCre_1.2.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64) DegCre_1.2.0.tgz
macOS Binary (arm64) DegCre_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/DegCre
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DegCre
Bioc Package Browser https://code.bioconductor.org/browse/DegCre/
Package Short Url https://bioconductor.org/packages/DegCre/
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