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ChromSCape

Analysis of single-cell epigenomics datasets with a Shiny App

Bioconductor version: 3.24 · Package version: 1.23.0

ChromSCape - Chromatin landscape profiling for Single Cells - is a ready-to-launch user-friendly Shiny Application for the analysis of single-cell epigenomics datasets (scChIP-seq, scATAC-seq, scCUT&Tag, ...) from aligned data to differential analysis & gene set enrichment analysis. It is highly interactive, enables users to save their analysis and covers a wide range of analytical steps: QC, preprocessing, filtering, batch correction, dimensionality reduction, vizualisation, clustering, differential analysis and gene set analysis.

Installation

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

BiocManager::install("ChromSCape")

Details

MaintainerPacome Prompsy <pacome.pr@gmail.com>
AuthorPacome Prompsy [aut, cre] (ORCID: <https://orcid.org/0000-0003-4375-7583>), Celine Vallot [aut] (ORCID: <https://orcid.org/0000-0003-1601-2359>)
LicenseGPL-3
URLhttps://github.com/vallotlab/ChromSCape
Bug Reportshttps://github.com/vallotlab/ChromSCape/issues
Downloads rank570
Source branchdevel
biocViewsATACSeq, Annotation, BatchEffect, ChIPSeq, Classification, Clustering, DifferentialPeakCalling, Epigenetics, GeneSetEnrichment, MethylSeq, MultipleComparison, Normalization, Pathways, Preprocessing, PrincipalComponent, QualityControl, ReportWriting, ShinyApps, SingleCell, Software, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageChromSCape_1.23.0.tar.gz
Windows binary (x86_64)ChromSCape_1.23.0.zip
macOS binary (arm64)ChromSCape_1.23.0.tgz
macOS binary (x86_64)ChromSCape_1.23.0.tgz
Dependencies

Depends: R (>= 4.5)

Imports: shiny, colourpicker, shinyjs, rtracklayer, shinyFiles, shinyhelper, shinyWidgets, shinydashboardPlus, flexdashboard, shinycssloaders, Matrix, plotly, shinydashboard, colorRamps, kableExtra, viridis, batchelor, BiocParallel, parallel, Rsamtools, ggplot2, ggrepel, gggenes, gridExtra, qualV, stringdist, stringr, fs, qs2, DT, scran, scater, ConsensusClusterPlus, Rtsne, dplyr, tidyr, GenomicRanges, IRanges, irlba, rlist, umap, tibble, methods, jsonlite, edgeR, stats, graphics, grDevices, utils, S4Vectors, SingleCellExperiment, SummarizedExperiment, msigdbr, forcats, Rcpp, coop, matrixTests, DelayedArray

LinkingTo: Rcpp

Suggests: testthat, knitr, markdown, rmarkdown, BiocStyle, Signac, future, igraph, bluster, httr