Skip to content

HighlyReplicatedRNASeq

Bioc current

Collection of Bulk RNA-Seq Experiments With Many Replicates

v1.24.0 · Package record · experiment · MIT + file LICENSE

Release Lineage

Entered 3.11 · Apr 28, 2020

Current · Requires R 4.6

1.0 In 13 of 49 releases 3.23

Description

Gene-level count matrix data for bulk RNA-seq dataset with many replicates. The data are provided as easy to use SummarizedExperiment objects. The source data that is made accessible through this package comes from https://github.com/bartongroup/profDGE48.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

2 2 exported

Complexity

1 avg / 1 max

Call network

2 nodes / 0 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

264

Files

13

Compiled share

0%

Has compiled src

No

Language breakdown

R 83 (31.4%)Docs 78 (29.5%)Vignettes 103 (39%)

API

Exported functions

2

Internal functions

0

Testing

Has tests

No

Test-to-code ratio

0.00

testthat edition

–

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

–

System requirements

–

C++ standard

–

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

13

First release

2020-04-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.11: 264 LOCv3.12: 264 LOCv3.13: 264 LOCv3.14: 264 LOCv3.15: 264 LOCv3.16: 264 LOCv3.17: 264 LOCv3.18: 264 LOCv3.19: 264 LOCv3.20: 264 LOCv3.21: 264 LOCv3.22: 264 LOCv3.23: 264 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
READMEYes · 194 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
2includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/const-ae/highlyreplicatedrnaseq on 2026-10-22.

Docs source (1)
README.Rmd
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 1
NameClassSizeAlso in
metadata-schurchdata.frame2 × 15No other package

All of HighlyReplicatedRNASeq's data objects

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HighlyReplicatedRNASeq")
Ahlmann-Eltze, C. (2026). HighlyReplicatedRNASeq: Collection of Bulk RNA-Seq Experiments With Many Replicates (Version 1.24.0) [Computer software]. https://bioconductor.org/packages/HighlyReplicatedRNASeq

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 HighlyReplicatedRNASeq version 1.24.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy