MouseAgingData

This is the development version of MouseAgingData; for the stable release version, see MouseAgingData.

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

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DOI: 10.18129/B9.bioc.MouseAgingData

Bioconductor version: Development (3.23)

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] ORCID iD ORCID: 0000-0003-4809-6227 , 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 "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("MouseAgingData")

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