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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 |
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Author | Pacome 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 |
Maintainer | Pacome Prompsy <pacome.prompsy@curie.fr> |
License | GPL-3 |
Version | 1.0.0 |
URL | https://github.com/vallotlab/ChromSCape |
Package repository | View on Bioconductor |
Installation |
Install the latest version of this package by entering the following in R:
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