Bioconductor version: Release (3.13)
This package provides data access to counts matrices and meta-data for single-cell RNA sequencing data of thymic epithlial cells across mouse ageing using SMARTseq2 and 10X Genommics chemistries. Access is provided as a data package via ExperimentHub. It is designed to facilitate the re-use of data from Baran-Gale _et al._ in a consistent format that includes relevant and informative meta-data.
Author: Mike Morgan [aut, cre], Jeanette Baran-Gale [aut]
Maintainer: Mike Morgan <michael.morgan at cruk.cam.ac.uk>
Citation (from within R,
enter citation("MouseThymusAgeing")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MouseThymusAgeing")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MouseThymusAgeing")
HTML | R Script | Available datasets |
Reference Manual | ||
Text | NEWS |
biocViews | ExperimentData, ExperimentHub, ExpressionData, SingleCellData |
Version | 1.0.0 |
License | GPL-3 |
Depends | SingleCellExperiment, SummarizedExperiment |
Imports | ExperimentHub, methods, BiocGenerics, S4Vectors |
LinkingTo | |
Suggests | knitr, scuttle, rmarkdown, BiocStyle |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/MarioniLab/MouseThymusAgeing/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | MouseThymusAgeing_1.0.0.tar.gz |
Windows Binary | |
macOS 10.13 (High Sierra) | |
Source Repository | git clone https://git.bioconductor.org/packages/MouseThymusAgeing |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MouseThymusAgeing |
Package Short Url | https://bioconductor.org/packages/MouseThymusAgeing/ |
Package Downloads Report | Download Stats |
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