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ChromSCape

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

Analysis of single-cell epigenomics datasets with a Shiny App


Bioconductor version: Development (3.23)

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.

Author: Pacome Prompsy [aut, cre] ORCID iD ORCID: 0000-0003-4375-7583 , Celine Vallot [aut] ORCID iD ORCID: 0000-0003-1601-2359

Maintainer: Pacome Prompsy <pacome.pr at gmail.com>

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

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("ChromSCape")

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("ChromSCape")
ChromSCape HTML R Script
Reference Manual PDF
NEWS Text

Details

Version 1.21.0
In Bioconductor since BioC 3.12 (R-4.0) (5 years)
License GPL-3
Depends R (>= 4.1)
System Requirements
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Package Archives

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

Source Package ChromSCape_1.21.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/ChromSCape
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ChromSCape
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