TabulaMurisSenisDroplet: Access the Tabula Muris Senis droplet single-cell RNA-seq...

In fmicompbio/TabulaMurisSenisData: Bulk and single-cell RNA-seq data from the Tabula Muris Senis project

Access the Tabula Muris Senis droplet single-cell RNA-seq data

Description

Access the droplet (10x Genomics) RNA-seq data from the Tabula Muris Senis consortium.

Usage

TabulaMurisSenisDroplet(
  tissues = "All",
  processedCounts = FALSE,
  reducedDims = TRUE,
  infoOnly = FALSE
)

Arguments

tissues	A character vector with the tissues to retrieve objects for. A list of available tissues can be obtained using listTabulaMurisSenisTissues("Droplet").
processedCounts	Logical scalar. If TRUE, include the processed counts in addition to the raw counts in the SingleCellExperiment object.
reducedDims	Logical scalar. If TRUE, include the PCA, tSNE and UMAP representations in the SingleCellExperiment object (the tSNE representation is not available for the full dataset ('All' tissue)).
infoOnly	Logical scalar. If TRUE, only print the total size of the files that will be downloaded to and/or retrieved from the cache.

Details

The data set was downloaded from figshare (https://figshare.com/articles/dataset/Processed_files_to_use_with_scanpy_/8273102?file=23938934 for the full data set, https://figshare.com/articles/dataset/Tabula_Muris_Senis_Data_Objects/12654728 for the individual tissue ones).

Value

If infoOnly is FALSE, returns a named list of SingleCellExperiment objects (one per tissue requested via tissues). Otherwise, each element in the list is 'NULL'.

Author(s)

Charlotte Soneson

References

Schaum et al (2019): The murine transcriptome reveals global aging nodes with organ-specific phase and amplitude. bioRxiv doi:10.1101/662254.

The Tabula Muris Consortium (2020): A single-cell transcriptomic atlas characterizes ageing tissues in the mouse. Nature 583:590–595.

Examples

if (interactive()) {
  sce <- TabulaMurisSenisDroplet(tissues = "All")
}

fmicompbio/TabulaMurisSenisData documentation built on April 1, 2024, 3:08 a.m.