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EDASeq

Bioc current

Exploratory Data Analysis and Normalization for RNA-Seq

v2.46.0 · software · Artistic-2.0

Release Lineage

Entered 2.9 · Nov 1, 2011

Current · Requires R 4.6

1.0 In 30 of 49 releases 3.23

Description

Numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010).

Test coverage

Line coverage

Expression

Tests / Examples

Functions

10 2 exported

Complexity

4.5 avg / 12 max

Call network

10 nodes / 6 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

2,732

Files

45

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,097 (40.2%)Tests 139 (5.1%)Docs 855 (31.3%)Vignettes 641 (23.5%)

API

Exported functions

3

Internal functions

8

Testing & CI

Has tests

Yes

Test-to-code ratio

0.13

testthat edition

CI present

Yes

CI type

["travis"]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

28.6%

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

30

First release

2011-10-31

Latest release

2026-04-28

Avg cadence

183 days

Cold removal rate

Dep drift

8

LOC over versions

v2.9: 1,229 LOCv2.10: 1,224 LOCv2.11: 1,236 LOCv2.12: 1,236 LOCv2.13: 1,236 LOCv2.14: 2,058 LOCv3.0: 2,237 LOCv3.1: 2,271 LOCv3.2: 2,673 LOCv3.3: 2,673 LOCv3.4: 2,673 LOCv3.5: 2,690 LOCv3.6: 2,690 LOCv3.7: 2,690 LOCv3.8: 2,741 LOCv3.9: 2,741 LOCv3.10: 2,741 LOCv3.11: 2,733 LOCv3.12: 2,732 LOCv3.13: 2,732 LOCv3.14: 2,732 LOCv3.15: 2,732 LOCv3.16: 2,732 LOCv3.17: 2,732 LOCv3.18: 2,732 LOCv3.19: 2,732 LOCv3.20: 2,732 LOCv3.21: 2,732 LOCv3.22: 2,732 LOCv3.23: 2,732 LOC

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

Documentation

Documentation
READMEYes · 194 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
90%
Documented parameters
73%
Return-value docs
67%
References docs
16%

Topics

Depended on by (15)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EDASeq")
Risso, D., Dudoit, S., & Geistlinger, L. (2026). EDASeq: Exploratory Data Analysis and Normalization for RNA-Seq (Version 2.46.0) [Computer software]. https://bioconductor.org/packages/EDASeq

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 EDASeq version 2.46.0 [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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