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DESeq2

Bioc current

Differential gene expression analysis based on the negative binomial distribution

v1.52.0 · software · LGPL (>= 3)

Release Lineage

Entered 2.12 · Apr 4, 2013

Current · Requires R 4.6

1.0 In 27 of 49 releases 3.23

Description

Estimate variance-mean dependence in count data from high-throughput sequencing assays and test for differential expression based on a model using the negative binomial distribution.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

133 34 exported

Complexity

6.8 avg / 68 max

Call network

133 nodes / 214 edges

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

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Lowest coverage

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

Code

Structure

Lines of code

17,052

Files

106

Compiled share

3.6%

Has compiled src

Yes

Language breakdown

R 8,361 (49%)C/C++/src 607 (3.6%)Tests 1,555 (9.1%)Docs 3,145 (18.4%)Vignettes 3,384 (19.8%)

API

Exported functions

44

Internal functions

89

Recent export changes

v3.6+2 priorInfo<-, priorInfo
v3.5+2 lfcShrink, unmix

Testing & CI

Has tests

Yes

Test-to-code ratio

0.19

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

50%

Unsafe pattern score

0

Dep constraint coverage

35.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

System requirements

C++ standard

License

LGPL (>= 3)

License flags

not SPDX, not OSI

History

Versions

27

First release

2013-08-14

Latest release

2026-04-28

Avg cadence

177 days

Cold removal rate

100%

Dep drift

18

LOC over versions

v2.12: 4,041 LOCv2.13: 5,017 LOCv2.14: 11,500 LOCv3.0: 11,728 LOCv3.1: 13,394 LOCv3.2: 13,850 LOCv3.3: 13,346 LOCv3.4: 13,363 LOCv3.5: 13,942 LOCv3.6: 14,601 LOCv3.7: 15,294 LOCv3.8: 15,502 LOCv3.9: 15,571 LOCv3.10: 15,689 LOCv3.11: 16,085 LOCv3.12: 16,733 LOCv3.13: 16,816 LOCv3.14: 16,857 LOCv3.15: 16,857 LOCv3.16: 16,950 LOCv3.17: 16,988 LOCv3.18: 17,060 LOCv3.19: 17,076 LOCv3.20: 17,114 LOCv3.21: 17,134 LOCv3.22: 17,250 LOCv3.23: 17,052 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductYesContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
71%
References docs
23%

Topics

Depended on by (256)

CRAN (42)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DESeq2")
Love, M., CZI, NIH NHGRI, RADIANT EU FP7, Ahlmann-Eltze, C., Anders, S., Forbes, K., Huber, W., Ignatiadis, N., Rossellini, R., & Zhu, A. (2026). DESeq2: Differential gene expression analysis based on the negative binomial distribution (Version 1.52.0) [Computer software]. https://bioconductor.org/packages/DESeq2

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 DESeq2 version 1.52.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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