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
Browse package contents
Package details |
|
|---|---|
| Bioconductor views | ATACSeq Annotation BatchEffect ChIPSeq Classification Clustering DifferentialPeakCalling Epigenetics GeneSetEnrichment MethylSeq MultipleComparison Normalization Pathways Preprocessing PrincipalComponent QualityControl ReportWriting ShinyApps SingleCell Software Visualization |
| Maintainer | |
| License | GPL-3 |
| Version | 1.9.0 |
| URL | https://github.com/vallotlab/ChromSCape |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
