Bioconductor 3.22 Released

epiregulon.extra

This is the development version of epiregulon.extra; for the stable release version, see epiregulon.extra.

Companion package to epiregulon with additional plotting, differential and graph functions


Bioconductor version: Development (3.23)

Gene regulatory networks model the underlying gene regulation hierarchies that drive gene expression and observed phenotypes. Epiregulon infers TF activity in single cells by constructing a gene regulatory network (regulons). This is achieved through integration of scATAC-seq and scRNA-seq data and incorporation of public bulk TF ChIP-seq data. Links between regulatory elements and their target genes are established by computing correlations between chromatin accessibility and gene expressions.

Author: Xiaosai Yao [aut, cre] ORCID iD ORCID: 0000-0001-9729-0726 , Tomasz Włodarczyk [aut] ORCID iD ORCID: 0000-0003-1554-9699 , Timothy Keyes [aut], Shang-Yang Chen [aut]

Maintainer: Xiaosai Yao <xiaosai.yao at gmail.com>

Citation (from within R, enter citation("epiregulon.extra")):

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("epiregulon.extra")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF

Details

biocViews ChipOnChip, DifferentialExpression, GeneExpression, GeneRegulation, GeneTarget, GraphAndNetwork, Network, Normalization, Software, Transcription
Version 1.7.0
In Bioconductor since BioC 3.19 (R-4.4) (1.5 years)
License MIT + file LICENSE
Depends R (>= 4.4), SingleCellExperiment
Imports scran, ComplexHeatmap, Matrix, SummarizedExperiment, checkmate, circlize, clusterProfiler, ggplot2, ggraph, igraph, patchwork, reshape2, scales, scater
System Requirements
URL https://github.com/xiaosaiyao/epiregulon.extra/
Bug Reports https://github.com/xiaosaiyao/epiregulon.extra/issues
See More
Suggests epiregulon, knitr, rmarkdown, parallel, BiocStyle, testthat (>= 3.0.0), msigdb, GSEABase, dorothea, scMultiome, S4Vectors, scuttle, vdiffr, ggrastr, ggrepel
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/epiregulon.extra
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/epiregulon.extra
Package Short Url https://bioconductor.org/packages/epiregulon.extra/
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