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 (3.21)
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 "4.5") 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 | 1.4.0 |
| 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_1.4.0.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 |