This is the development version of ChromSCape; for the stable release version, see ChromSCape.
Analysis of single-cell epigenomics datasets with a Shiny AppBioconductor version: Development (3.22)
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: 0000-0003-4375-7583 , Celine Vallot [aut] ORCID: 0000-0003-1601-2359
Maintainer: Pacome Prompsy <pacome.prompsy at curie.fr>
Citation (from within R, entercitation("ChromSCape")): Installation
To install this package, start R (version "4.5") 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 Details biocViews ATACSeq, Annotation, BatchEffect, ChIPSeq, Classification, Clustering, DifferentialPeakCalling, Epigenetics, GeneSetEnrichment, MethylSeq, MultipleComparison, Normalization, Pathways, Preprocessing, PrincipalComponent, QualityControl, ReportWriting, ShinyApps, SingleCell, Software, Visualization Version 1.19.0 In Bioconductor since BioC 3.12 (R-4.0) (4.5 years) License GPL-3 Depends R (>= 4.1) Imports shiny, colourpicker, shinyjs, rtracklayer, shinyFiles, shinyhelper, shinyWidgets, shinydashboardPlus, shinycssloaders, Matrix, plotly, shinydashboard, colorRamps, kableExtra, viridis, batchelor, BiocParallel, parallel, Rsamtools, ggplot2, ggrepel, gggenes, gridExtra, qualV, stringdist, stringr, fs, qs, DT, scran, scater, ConsensusClusterPlus, Rtsne, dplyr, tidyr, GenomicRanges, IRanges, irlba, rlist, umap, tibble, methods, jsonlite, edgeR, stats, graphics, grDevices, utils, S4Vectors, SingleCellExperiment, SummarizedExperiment, msigdbr, forcats, Rcpp, coop, matrixTests, DelayedArray System Requirements URL https://github.com/vallotlab/ChromSCape Bug Reports https://github.com/vallotlab/ChromSCape/issues See More Package ArchivesFollow Installation instructions to use this package in your R session.
Source Package 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 Package Short Url https://bioconductor.org/packages/ChromSCape/ Package Downloads Report Download StatsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4