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cellxgenedp

This is the released version of cellxgenedp; for the devel version, see cellxgenedp.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15

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


Bioconductor version: Release (3.23)

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.

Author: Martin Morgan [aut, cre] ORCID iD ORCID: 0000-0002-5874-8148 , Kayla Interdonato [aut]

Maintainer: Martin Morgan <mtmorgan.bioc at gmail.com>

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.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("cellxgenedp")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("cellxgenedp")
Discovery and retrieval HTML R Script
Case studies HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DataImport, SingleCell, Software, ThirdPartyClient
Version1.16.0
In Bioconductor sinceBioC 3.15 (R-4.2) (4.5 years)
License Artistic-2.0
Depends R (>= 4.1.0), dplyr
Imports httr, curl, utils, tools, cli, shiny, DT, rjsoncons
System Requirements
URLhttps://mtmorgan.github.io/cellxgenedp/ https://github.com/mtmorgan/cellxgenedp
Bug Reportshttps://github.com/mtmorgan/cellxgenedp/issues
See More
Suggests zellkonverter, SingleCellExperiment, HDF5Array, tidyr, BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0), mockery
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package cellxgenedp_1.16.0.tar.gz
Windows Binary (x86_64) cellxgenedp_1.16.0.zip
macOS Binary (big-sur-x86_64) cellxgenedp_1.16.0.tgz
macOS Binary (sonoma-arm64) cellxgenedp_1.16.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/cellxgenedp
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/cellxgenedp
Package Short Url https://bioconductor.org/packages/cellxgenedp/
Package Downloads ReportDownload Stats