MouseAgingData

This is the released version of MouseAgingData; for the devel version, see MouseAgingData.

Multi-omics data access for studies investigating the effects of aging

Bioconductor version: Release (3.20)

The MouseAgingData package provides analysis-ready data resources from different studies focused on aging and rejuvenation in mice. The package currently provides two 10x Genomics single-cell RNA-seq datasets. The first study profiled the aging mouse brain measured across 37,089 cells (Ximerakis et al., 2019). The second study investigated parabiosis by profiling a total of 105,329 cells (Ximerakis & Holton et al., 2023). The datasets are provided as SingleCellExperiment objects and provide raw UMI counts and cell metadata.

Author: Tram Nguyen [aut, cre] , Kris Holton [aut], Tyrone Lee [aut], Nitesh Turaga [ctb], Ludwig Geistlinger [aut], Robert Gentleman [aut]

Maintainer: Tram Nguyen <Tram_Nguyen at hms.harvard.edu>

Citation (from within R, enter citation("MouseAgingData")):

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("MouseAgingData")

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

Documentation

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

browseVignettes("MouseAgingData")

Accessing and Visualizing Parabiosis Droplet Data	HTML	R Script
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExperimentData, ExperimentHub, ExpressionData, Mus_musculus_Data, PackageTypeData, RNASeqData, SequencingData, SingleCellData
Version	1.2.0
License	Artistic-2.0
Depends	R (>= 4.4.0), SingleCellExperiment
Imports	AnnotationHub, ExperimentHub
System Requirements
URL	https://github.com/ccb-hms/MouseAgingData
Bug Reports	https://github.com/ccb-hms/MouseAgingData/issues

Suggests	BiocStyle, knitr, rmarkdown, scater
Linking To
Enhances
Depends On Me
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Build Report	Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	MouseAgingData_1.2.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/MouseAgingData
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MouseAgingData
Package Short Url	https://bioconductor.org/packages/MouseAgingData/
Package Downloads Report	Download Stats