scfetch: Access and Format Single-Cell RNA-Seq Datasets from Public Resources

The goal of 'scfetch' is to access and format single-cell RNA-seq datasets. It can be used to download single-cell RNA-seq datasets from widely used public resources, including GEO <https://www.ncbi.nlm.nih.gov/geo/>, Zenodo <https://zenodo.org/>, CELLxGENE <https://cellxgene.cziscience.com/>, Human Cell Atlas <https://www.humancellatlas.org/>, PanglaoDB <https://panglaodb.se/index.html> and UCSC Cell Browser <https://cells.ucsc.edu/>. And, it can also be used to perform object conversion between SeuratObject <https://satijalab.org/seurat/>, loom <http://loompy.org/>, h5ad <https://scanpy.readthedocs.io/en/stable/>, SingleCellExperiment <https://bioconductor.org/packages/release/bioc/html/scran.html>, CellDataSet <http://cole-trapnell-lab.github.io/monocle-release/> and cell_data_set <https://cole-trapnell-lab.github.io/monocle3/>.

Getting started

Package details

AuthorYabing Song [aut, cre]
MaintainerYabing Song <songyb0519@gmail.com>
LicenseGPL (>= 3)
Version0.5.0
URL https://github.com/showteeth/scfetch
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("scfetch")

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scfetch documentation built on Nov. 22, 2023, 1:09 a.m.