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Bioconductor 3.22 Released

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scMultiome

This is thereleased version of scMultiome; for the devel version, seescMultiome.

Collection of Public Single-Cell Multiome (scATAC + scRNAseq) Datasets

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DOI: 10.18129/B9.bioc.scMultiome


Bioconductor version: Release (3.22)

Single cell multiome data, containing chromatin accessibility (scATAC-seq) and gene expression (scRNA-seq) information analyzed with the ArchR package and presented as MultiAssayExperiment objects.

Author: Xiaosai Yao [cre, aut]ORCID iD ORCID: 0000-0001-9729-0726, Aleksander Chlebowski [aut], Aaron Lun [aut], Shiqi Xie [ctb], Tomasz Włodarczyk [aut]

Maintainer: Xiaosai Yao <xiaosai.yao at gmail.com>

Citation (from within R, entercitation("scMultiome")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("scMultiome")

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("scMultiome")
scMultiome tutorialHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCellCulture,ExperimentData,ExperimentHub,ExpressionData,GEO,Homo_sapiens_Data,PackageTypeData,SequencingData,SingleCellData,Tissue
Version1.10.0
LicenseCC BY-SA 4.0
DependsAnnotationHub,ExperimentHub(>= 2.8.1),MultiAssayExperiment,SingleCellExperiment,SummarizedExperiment
ImportsAzureStor,GenomicRanges,HDF5Array,S4Vectors,checkmate, methods,rhdf5,alabaster.matrix
System Requirements
URL
See More
SuggestsBiocGenerics,IRanges,Matrix,knitr,rmarkdown,rstudioapi,testthat (>= 3.0.0),devtools,BiocStyle,ExperimentHubData
Linking To
Enhances
Depends On Me
Imports Me
Suggests Meepiregulon,epiregulon.extra
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagescMultiome_1.10.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/scMultiome
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scMultiome
Package Short Urlhttps://bioconductor.org/packages/scMultiome/
Package Downloads ReportDownload Stats

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