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 <>, Zenodo <>, CELLxGENE <>, Human Cell Atlas <>, PanglaoDB <> and UCSC Cell Browser <>. And, it can also be used to perform object conversion between SeuratObject <>, loom <>, h5ad <>, SingleCellExperiment <>, CellDataSet <> and cell_data_set <>.

Version: 0.5.0
Depends: R (≥ 2.10)
Imports: Biobase, curl, data.table, dplyr, GEOquery, jsonlite, magrittr, Matrix, openxlsx, parallel, pbapply, purrr, rPanglaoDB, reticulate, Seurat, tibble, tools, utils, SingleCellExperiment, SummarizedExperiment, scater, LoomExperiment, httr, rlang, tidyr, methods
Suggests: knitr, rmarkdown, scRNAseq, BiocStyle, htmltools, sceasy, SeuratDisk, SeuratWrappers, zellkonverter, GEOfastq
Published: 2023-11-21
Author: Yabing Song [aut, cre]
Maintainer: Yabing Song <songyb0519 at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: scfetch results


Reference manual: scfetch.pdf
Vignettes: scfetch


Package source: scfetch_0.5.0.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-prerel (x86_64): scfetch_0.5.0.tgz, r-release (x86_64): not available


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