vallotlab/ChromSCape: Analysis of single-cell epigenomics datasets with a Shiny App

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.

Getting started

Package details

Bioconductor views ATACSeq Annotation BatchEffect ChIPSeq Classification Clustering DifferentialPeakCalling Epigenetics GeneSetEnrichment MethylSeq MultipleComparison Normalization Pathways Preprocessing PrincipalComponent QualityControl ReportWriting SingleCell Software Visualization
Maintainer
LicenseGPL-3
Version1.1.5
URL https://github.com/vallotlab/ChromSCape
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("vallotlab/ChromSCape")
vallotlab/ChromSCape documentation built on May 24, 2021, 4:17 p.m.