MouseAgingData
Multi-omics data access for studies investigating the effects of aging
Bioconductor version: Release (3.19)
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("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 | ||
NEWS | Text |
Details
biocViews | ExperimentData, ExperimentHub, ExpressionData, Mus_musculus_Data, PackageTypeData, RNASeqData, SequencingData, SingleCellData |
Version | 1.0.0 |
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 |
See More
Suggests | BiocStyle, knitr, rmarkdown, scater |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | MouseAgingData_1.0.0.tar.gz |
Windows Binary | |
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 |