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scater

Bioc current

Single-Cell Analysis Toolkit for Gene Expression Data in R

v1.40.2 · Package record · software · GPL-3

Release Lineage

Entered 3.3 · May 4, 2016

Current · Requires R 4.6

1.0 In 21 of 49 releases 3.23

Description

A collection of tools for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control and visualization.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

81 41 exported

Complexity

5.3 avg / 38 max

Call network

81 nodes / 91 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

11,436

Files

100

Compiled share

0%

Has compiled src

No

Language breakdown

R 5,494 (48%)Tests 1,962 (17.2%)Docs 3,701 (32.4%)Vignettes 279 (2.4%)

API

Exported functions

86

Internal functions

40

Recent export changes

v3.9+1 sumCountsAcrossCells  −12 calcIsExprs, findImportantPCs, normalise 9 more
v3.8+9 calculateAverage, getExplanatoryPCs, getVarianceExplained +6 more  −11 areSizeFactorsCentred, downsampleCounts, normaliseExprs 8 more

Testing

Has tests

Yes

Test-to-code ratio

0.36

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

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

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

21

First release

2016-06-12

Latest release

2026-06-30

Avg cadence

186 days

Cold removal rate

100%

Dep drift

48

LOC over versions

v3.3: 14,065 LOCv3.4: 16,618 LOCv3.5: 17,915 LOCv3.6: 14,888 LOCv3.7: 15,024 LOCv3.8: 13,119 LOCv3.9: 13,223 LOCv3.10: 16,368 LOCv3.11: 16,327 LOCv3.12: 10,219 LOCv3.13: 10,023 LOCv3.14: 10,231 LOCv3.15: 9,953 LOCv3.16: 10,452 LOCv3.17: 10,887 LOCv3.18: 10,918 LOCv3.19: 10,930 LOCv3.20: 10,954 LOCv3.21: 11,009 LOCv3.22: 11,010 LOCv3.23: 11,436 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
READMENoVignettesYes · 1 · dynamicNEWSYesCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
39 (1 internal)
Examples that run
94%33 run in a plain check · 2 never run
Exported functions with examples
97%
Documented parameters
94%
Return-value docs
97%
Help pages citing references
10%

Repository practices

Bioconductor git repository

Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.

2 practices detected in the Bioconductor git repository

Continuous integration (2)
GitHub ActionsPR checks

Topics

Maintainer
Alan O'Callaghan

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (54)

Show 62 packagesHide 62 packages

People

Cite

Cite this package

Run in R for the authors' entry:

citation("scater")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btw777.

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 scater version 1.40.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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