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cellxgenedp

Bioc current

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

v1.16.0 · Package record · software · Artistic-2.0

Release Lineage

Entered 3.15 · Apr 27, 2022

Current · Requires R 4.6

1.0 In 9 of 49 releases 3.23

Description

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.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

46 12 exported

Complexity

1.7 avg / 6 max

Call network

46 nodes / 65 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

2,508

Files

29

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,152 (45.9%)Tests 335 (13.4%)Docs 269 (10.7%)Vignettes 752 (30%)

API

Exported functions

13

Internal functions

0

Testing

Has tests

Yes

Test-to-code ratio

0.29

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

–

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

9

First release

2022-08-22

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

4

LOC over versions

v3.15: 1,925 LOCv3.16: 1,773 LOCv3.17: 2,126 LOCv3.18: 2,138 LOCv3.19: 2,497 LOCv3.20: 2,507 LOCv3.21: 2,508 LOCv3.22: 2,508 LOCv3.23: 2,508 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

In the Bioconductor 3.23 release
README· In the Bioconductor git repository, left out of the releaseVignettesYes · 2 · dynamicNEWSYes · 100% structuredCitation fileNoWebsiteYes · pkgdown
Help pages
4
Examples that run
75%3 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/mtmorgan/cellxgenedp on 2026-10-22.

Continuous integration (1)
GitHub Actions
Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-06-14 · The repository has a site deploy workflow

pkgdown site last built 2026-06-14

How this is detected·Detection ruleset v4 (2026-10-20)

Topics

Maintainer
Martin Morgan

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cellxgenedp")
Morgan, M., & Interdonato, K. (2026). cellxgenedp: Discover and Access Single Cell Data Sets in the CELLxGENE Data Portal (Version 1.16.0) [Computer software]. https://bioconductor.org/packages/cellxgenedp

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for cellxgenedp version 1.16.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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