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edgeR

Bioc current

Empirical Analysis of Digital Gene Expression Data in R

v4.10.7 · Package record · software · GPL (>=2)

Release Lineage

Entered 2.3 · Oct 22, 2008

Current · Requires R 4.6

1.0 In 36 of 49 releases 3.23

Description

Differential expression analysis of sequence count data. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models, quasi-likelihood, and gene set enrichment. Can perform differential analyses of any type of omics data that produces read counts, including RNA-seq, ChIP-seq, ATAC-seq, Bisulfite-seq, SAGE, CAGE, metabolomics, or proteomics spectral counts. RNA-seq analyses can be conducted at the gene or isoform level, and tests can be conducted for differential exon or transcript usage.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

357 0 exported

Complexity

6.7 avg / 70 max

Call network

357 nodes / 525 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

23,715

Files

260

Compiled share

24.2%

Has compiled src

Yes

Language breakdown

R 9,391 (39.6%)C/C++/src 5,732 (24.2%)Tests 978 (4.1%)Docs 7,540 (31.8%)Vignettes 74 (0.3%)

API

Exported functions

219

Internal functions

26

Testing

Has tests

Yes

Test-to-code ratio

0.10

testthat edition

–

Docs

Roxygen coverage

–

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

25%

Unsafe pattern score

2

Dep constraint coverage

16.7%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.6.0

System requirements

–

C++ standard

–

License

GPL (>=2)

License flags

not SPDX, not OSI

History

Versions

36

First release

2009-03-03

Latest release

2026-09-04

Avg cadence

180 days

Cold removal rate

100%

Dep drift

8

LOC over versions

v2.3: 1,199 LOCv2.4: 1,644 LOCv2.5: 2,780 LOCv2.6: 2,933 LOCv2.7: 4,079 LOCv2.8: 6,072 LOCv2.9: 7,459 LOCv2.10: 8,264 LOCv2.11: 8,974 LOCv2.12: 10,376 LOCv2.13: 10,383 LOCv2.14: 11,400 LOCv3.0: 12,688 LOCv3.1: 13,291 LOCv3.2: 13,291 LOCv3.3: 13,529 LOCv3.4: 15,071 LOCv3.5: 15,202 LOCv3.6: 15,867 LOCv3.7: 16,152 LOCv3.8: 16,415 LOCv3.9: 16,707 LOCv3.10: 16,839 LOCv3.11: 17,648 LOCv3.12: 18,696 LOCv3.13: 18,891 LOCv3.14: 18,894 LOCv3.15: 18,958 LOCv3.16: 19,027 LOCv3.17: 19,307 LOCv3.18: 20,586 LOCv3.19: 20,700 LOCv3.20: 22,250 LOCv3.21: 22,927 LOCv3.22: 23,221 LOCv3.23: 23,715 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 · 2 · dynamicNEWSYesCitation fileYes · cites a publicationWebsiteYes
Help pages
112includes a package overview page
Examples that run
89%83 run in a plain check · 8 never run · 2 hold no code
Exported functions with examples
87%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
46%

Repository practices

Bioconductor git repository

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

No development-tooling practices detected in the Bioconductor git repository.

Topics

Maintainer
Yunshun Chen

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (207)

Show 79 packagesHide 79 packages

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' entry:

citation("edgeR")

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

It points to 10.1093/nar/gkaf018.

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 edgeR version 4.10.7 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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