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.

Package details

AuthorPacome Prompsy [aut, cre] (<https://orcid.org/0000-0003-4375-7583>), Celine Vallot [aut] (<https://orcid.org/0000-0003-1601-2359>)
Bioconductor views ATACSeq Annotation BatchEffect ChIPSeq Classification Clustering DifferentialPeakCalling Epigenetics GeneSetEnrichment MethylSeq MultipleComparison Normalization Pathways Preprocessing PrincipalComponent QualityControl ReportWriting SingleCell Software Visualization
MaintainerPacome Prompsy <pacome.prompsy@curie.fr>
LicenseGPL-3
Version1.0.0
URL https://github.com/vallotlab/ChromSCape
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("ChromSCape")

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ChromSCape documentation built on Nov. 8, 2020, 6:57 p.m.