This is an R/ExperimentHub package providing easy access to bulk and single-cell RNA-seq data from the Tabula Muris Senis project. The package is under submission to Bioconductor. For now, it can be installed from this GitHub repository using the devtools package:
devtools::install_github("fmicompbio/TabulaMurisSenisData")
Note that R version 4.1 or newer, and Bioconductor release 3.14 (current devel version) or newer are required to use the package.
library(TabulaMurisSenisData)
The package provides access to the bulk RNA-seq data as well as the droplet and FACS single-cell RNA-seq data sets from the Tabula Muris Senis project. Each data set is returned as a SingleCellExperiment object. For the single-cell data sets, we also provide separate objects for the individual tissues (droplet and FACS, respectively). No additional analysis has been performed on the data.
The bulk RNA-seq data is accessed via the TabulaMurisSenisBulk()
function.
(tms_bulk <- TabulaMurisSenisBulk()) ## List available tissues table(tms_bulk$organ)
The droplet scRNA-seq data is accessed via the TabulaMurisSenisDroplet()
function.
By default, the full data set will be returned.
Data from each individual tissue can also be obtained by specifying the tissues
argument appropriately.
Note that the return value from this function is always a named list, with one element per retrieved tissue (or 'All' for the full data set).
(tms_droplet <- TabulaMurisSenisDroplet(tissues = "All")) listTabulaMurisSenisTissues(dataset = "Droplet")
The returned objects contain also the reduced dimension representations generated by the Tabula Muris Senis consortium (see the vignette for more details on how to recreate the plot below from the provided data).
The FACS scRNA-seq data is accessed via the TabulaMurisSenisFACS()
function.
As for the droplet dat, the full data set will be returned by default, but individual tissue data sets are also available.
(tms_facs <- TabulaMurisSenisFACS(tissues = "All")) listTabulaMurisSenisTissues(dataset = "FACS")
The following reports provide detailed descriptions of how the data from the Tabula Muris Consortium was obtained and processed for inclusion in this package.
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