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CAGEr

Bioc current

Analysis of CAGE (Cap Analysis of Gene Expression) sequencing data for precise mapping of transcription start sites and promoterome mining

v2.18.0 · software · GPL-3

Release Lineage

Entered 2.12 · Apr 4, 2013

Current · Requires R 4.6

1.0 In 27 of 49 releases 3.23

Description

The _CAGEr_ package identifies transcription start sites (TSS) and their usage frequency from CAGE (Cap Analysis Gene Expression) sequencing data. It normalises raw CAGE tag count, clusters TSSs into tag clusters (TC) and aggregates them across multiple CAGE experiments to construct consensus clusters (CC) representing the promoterome. CAGEr provides functions to profile expression levels of these clusters by cumulative expression and rarefaction analysis, and outputs the plots in ggplot2 format for further facetting and customisation. After clustering, CAGEr performs analyses of promoter width and detects differential usage of TSSs (promoter shifting) between samples. CAGEr also exports its data as genome browser tracks, and as R objects for downsteam expression analysis by other Bioconductor packages such as DESeq2, CAGEfightR, or seqArchR.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

80 3 exported

Complexity

3.4 avg / 62 max

Call network

80 nodes / 52 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

16,047

Files

182

Compiled share

0%

Has compiled src

No

Language breakdown

R 8,413 (52.4%)Docs 6,111 (38.1%)Vignettes 1,523 (9.5%)

API

Exported functions

72

Internal functions

77

Recent export changes

v3.8+1 consensusClusters<-
v3.7+61 CTSScoordinatesGR<-, CTSStagCountSE<-, consensusClustersGR<- +58 more

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

66.7%

Unsafe pattern score

0

Dep constraint coverage

27.3%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

27

First release

2013-09-02

Latest release

2026-04-28

Avg cadence

183 days

Cold removal rate

100%

Dep drift

34

LOC over versions

v2.12: 4,487 LOCv2.13: 4,524 LOCv2.14: 5,742 LOCv3.0: 5,754 LOCv3.1: 5,954 LOCv3.2: 5,954 LOCv3.3: 6,244 LOCv3.4: 6,244 LOCv3.5: 6,249 LOCv3.6: 6,249 LOCv3.7: 17,038 LOCv3.8: 17,191 LOCv3.9: 17,225 LOCv3.10: 17,350 LOCv3.11: 17,348 LOCv3.12: 17,438 LOCv3.13: 17,438 LOCv3.14: 15,131 LOCv3.15: 15,138 LOCv3.16: 15,138 LOCv3.17: 15,340 LOCv3.18: 15,777 LOCv3.19: 15,777 LOCv3.20: 15,788 LOCv3.21: 15,788 LOCv3.22: 16,047 LOCv3.23: 16,047 LOC

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

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
97%
Documented parameters
91%
Return-value docs
81%
References docs
11%

Topics

Depended on by (2)

Bioconductor (2)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CAGEr")
Plessy, C., Baranasic, D., Ferenc, K., Haberle, V., & Nikumbh, S. (2026). CAGEr: Analysis of CAGE (Cap Analysis of Gene Expression) sequencing data for precise mapping of transcription start sites and promoterome mining (Version 2.18.0) [Computer software]. https://bioconductor.org/packages/CAGEr

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 CAGEr version 2.18.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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