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SCArray

Bioc current

Large-scale single-cell omics data manipulation with GDS files

v1.20.0 · software · GPL-3

Release Lineage

Entered 3.13 · May 20, 2021

Current · Requires R 4.6

1.0 In 11 of 49 releases 3.23

Description

Provides large-scale single-cell omics data manipulation using Genomic Data Structure (GDS) files. It combines dense and sparse matrices stored in GDS files and the Bioconductor infrastructure framework (SingleCellExperiment and DelayedArray) to provide out-of-memory data storage and large-scale manipulation using the R programming language.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

183 0 exported

Complexity

4.3 avg / 33 max

Call network

183 nodes / 383 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

7,783

Files

46

Compiled share

34.6%

Has compiled src

Yes

Language breakdown

R 3,602 (46.3%)C/C++/src 2,691 (34.6%)Tests 1 (0%)Docs 1,169 (15%)Vignettes 320 (4.1%)

API

Exported functions

16

Internal functions

126

Testing & CI

Has tests

Yes

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

25%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

11

First release

2021-05-19

Latest release

2026-04-28

Avg cadence

186 days

Cold removal rate

Dep drift

7

LOC over versions

v3.13: 891 LOCv3.14: 1,198 LOCv3.15: 1,507 LOCv3.16: 1,507 LOCv3.17: 7,611 LOCv3.18: 7,611 LOCv3.19: 7,620 LOCv3.20: 7,774 LOCv3.21: 7,775 LOCv3.22: 7,775 LOCv3.23: 7,783 LOC

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

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SCArray")
Zheng, X. (2026). SCArray: Large-scale single-cell omics data manipulation with GDS files (Version 1.20.0) [Computer software]. https://bioconductor.org/packages/SCArray

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 SCArray version 1.20.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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