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RnaSeqGeneEdgeRQL

Bioc current

Gene-level RNA-seq differential expression and pathway analysis using Rsubread and the edgeR quasi-likelihood pipeline

v1.36.0 · Package record · workflows · Artistic-2.0

Release Lineage

Entered 3.5 · Apr 25, 2017

Current · Requires R 4.6

1.0 In 19 of 49 releases 3.23

Description

This workflow package provides, through its vignette, a complete case study analysis of an RNA-Seq experiment using the Rsubread and edgeR packages. The workflow starts from read alignment and continues on to data exploration, to differential expression and, finally, to pathway analysis. The analysis includes publication quality plots, GO and KEGG analyses, and the analysis of a expression signature as generated by a prior experiment.

Advisories

None published for Bioconductor

Code intelligence has not been computed for this package yet.

Code

Structure

Lines of code

1,290

Files

5

Compiled share

0%

Has compiled src

No

Language breakdown

Vignettes 1,290 (100%)

API

Exported functions

–

Internal functions

0

Recent export changes

v3.9−1 pattern:.
v3.5+1 pattern:.

Testing

Has tests

No

Test-to-code ratio

–

testthat edition

–

Docs

Roxygen coverage

–

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

20%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.3.0

System requirements

–

C++ standard

–

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

19

First release

2017-04-24

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

1

LOC over versions

v3.5: 1,223 LOCv3.6: 1,223 LOCv3.7: 1,259 LOCv3.8: 1,260 LOCv3.9: 1,261 LOCv3.10: 1,261 LOCv3.11: 1,275 LOCv3.12: 1,275 LOCv3.13: 1,275 LOCv3.14: 1,275 LOCv3.15: 1,275 LOCv3.16: 1,275 LOCv3.17: 1,275 LOCv3.18: 1,275 LOCv3.19: 1,275 LOCv3.20: 1,275 LOCv3.21: 1,275 LOCv3.22: 1,290 LOCv3.23: 1,290 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 · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsiteYes
Help pages
No help pages
Examples that run
no examples
Exported functions with examples
not tracked
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
not tracked

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.

Datasets

Bundled datasets · 1
NameClassSizeAlso in
targetsdata.frame12 × 4No other package

All of RnaSeqGeneEdgeRQL's data objects

Topics

Maintainer
Yunshun Chen

Available on

CRANr2uBioconductorautoCRANCOPR

People (from the free-text Author field)

Cite

Cite this package

Run in R for the authors' entry:

citation("RnaSeqGeneEdgeRQL")

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

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 RnaSeqGeneEdgeRQL version 1.36.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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