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ChromSCape

This is thereleased version of ChromSCape; for the devel version, seeChromSCape.

Analysis of single-cell epigenomics datasets with a Shiny App

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DOI: 10.18129/B9.bioc.ChromSCape


Bioconductor version: Release (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 iD ORCID: 0000-0003-4375-7583, Celine Vallot [aut]ORCID iD ORCID: 0000-0003-1601-2359

Maintainer: Pacome Prompsy <pacome.pr at gmail.com>

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")BiocManager::install("ChromSCape")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("ChromSCape")
ChromSCapeHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsATACSeq,Annotation,BatchEffect,ChIPSeq,Classification,Clustering,DifferentialPeakCalling,Epigenetics,GeneSetEnrichment,MethylSeq,MultipleComparison,Normalization,Pathways,Preprocessing,PrincipalComponent,QualityControl,ReportWriting,ShinyApps,SingleCell,Software,Visualization
Version1.20.0
In Bioconductor sinceBioC 3.12 (R-4.0) (5 years)
LicenseGPL-3
DependsR (>= 4.1)
Importsshiny,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
URLhttps://github.com/vallotlab/ChromSCape
Bug Reportshttps://github.com/vallotlab/ChromSCape/issues
See More
Suggeststestthat,knitr,markdown,rmarkdown,BiocStyle,Signac,future,igraph,bluster,httr
Linking ToRcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageChromSCape_1.20.0.tar.gz
Windows Binary (x86_64) ChromSCape_1.20.0.zip
macOS Binary (x86_64)ChromSCape_1.20.0.tgz
macOS Binary (arm64)ChromSCape_1.20.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/ChromSCape
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/ChromSCape
Bioc Package Browserhttps://code.bioconductor.org/browse/ChromSCape/
Package Short Urlhttps://bioconductor.org/packages/ChromSCape/
Package Downloads ReportDownload Stats

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