Bioc2026 Registration Open!

epiregulon.extra

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

Bioconductor version: 3.23 · Package version: 1.8.0

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.

Installation

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

BiocManager::install("epiregulon.extra")

Details

MaintainerXiaosai Yao <xiaosai.yao@gmail.com>
AuthorXiaosai Yao [aut, cre] (ORCID: <https://orcid.org/0000-0001-9729-0726>), Tomasz Włodarczyk [aut] (ORCID: <https://orcid.org/0000-0003-1554-9699>), Timothy Keyes [aut], Shang-Yang Chen [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/xiaosaiyao/epiregulon.extra/
Bug Reportshttps://github.com/xiaosaiyao/epiregulon.extra/issues
Downloads rank191
Source branchRELEASE_3_23
biocViewsChipOnChip, DifferentialExpression, GeneExpression, GeneRegulation, GeneTarget, GraphAndNetwork, Network, Normalization, Software, Transcription

Documentation

Download

Dependencies

Depends: R (>= 4.4), SingleCellExperiment

Imports: scran, ComplexHeatmap, Matrix, SummarizedExperiment, checkmate, circlize, clusterProfiler, ggplot2, ggraph, igraph, patchwork, reshape2, scales, scater

Suggests: epiregulon, knitr, rmarkdown, parallel, BiocStyle, testthat (>= 3.0.0), msigdb, GSEABase, dorothea, scMultiome, S4Vectors, scuttle, vdiffr, ggrastr, ggrepel