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cellxgenedp

Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal

Bioconductor version: 3.23 · Package version: 1.16.0

Other Bioconductor versions

devel is the development version; release is the current stable one.

3.24 (devel), 3.23 (release)

The cellxgene data portal (https://cellxgene.cziscience.com/) provides a graphical user interface to collections of single-cell sequence data processed in standard ways to 'count matrix' summaries. The cellxgenedp package provides an alternative, R-based inteface, allowind data discovery, viewing, and downloading.

DOI: 10.18129/B9.bioc.cellxgenedp

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("cellxgenedp")

Details

MaintainerMartin Morgan <mtmorgan.bioc@gmail.com>
AuthorMartin Morgan [aut, cre] (ORCID: <https://orcid.org/0000-0002-5874-8148>), Kayla Interdonato [aut]
LicenseArtistic-2.0
URLhttps://mtmorgan.github.io/cellxgenedp/, https://github.com/mtmorgan/cellxgenedp
Bug Reportshttps://github.com/mtmorgan/cellxgenedp/issues
Source branchRELEASE_3_23
Build report Bioconductor build system, r-universe
biocViewsDataImport, SingleCell, Software, ThirdPartyClient
Package Short Url https://bioconductor.org/packages/cellxgenedp/

Citation

From within R, enter citation("cellxgenedp"):

Martin Morgan, Kayla Interdonato. cellxgenedp: Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal. doi:10.18129/B9.bioc.cellxgenedp, R package version 1.16.0, https://bioconductor.org/packages/cellxgenedp.

Generated from the package metadata; it may differ from the package's own citation.

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecellxgenedp_1.16.0.tar.gz
Windows binary (x86_64)cellxgenedp_1.16.0.zip
macOS binary (arm64)cellxgenedp_1.16.0.tgz
macOS binary (x86_64)cellxgenedp_1.16.0.tgz
Dependencies

Depends: R (>= 4.1.0), dplyr

Imports: httr, curl, utils, tools, cli, shiny, DT, rjsoncons

Suggests: zellkonverter, SingleCellExperiment, HDF5Array, tidyr, BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0), mockery