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timecoursedata

Bioc current

A data package for timecourse RNA-seq and microarray gene expression data sets

v1.22.0 · Package record · experiment · BSD 3-clause License + file LICENSE

Release Lineage

Entered 3.12 · Oct 28, 2020

Current · Requires R 4.6

1.0 In 12 of 49 releases 3.23

Description

This data package contains timecourse gene expression data sets. The first dataset, from Shoemaker et al, consists of microarray samples from lung tissue of mice exposed to different influenzy strains from 14 timepoints. The two other datasets are leaf and root samples from sorghum crops exposed to pre- and post-flowering drought stress and a control condition, sampled across the plants lifetime.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

2 2 exported

Complexity

2 avg / 3 max

Call network

2 nodes / 0 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

641

Files

23

Compiled share

0%

Has compiled src

No

Language breakdown

R 221 (34.5%)Tests 50 (7.8%)Docs 230 (35.9%)Vignettes 140 (21.8%)

API

Exported functions

2

Internal functions

0

Testing

Has tests

Yes

Test-to-code ratio

0.23

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

4.0

System requirements

–

C++ standard

–

License

BSD 3-clause License + file LICENSE

License flags

not SPDX, not OSI

History

Versions

12

First release

2020-10-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.12: 641 LOCv3.13: 641 LOCv3.14: 641 LOCv3.15: 641 LOCv3.16: 641 LOCv3.17: 641 LOCv3.18: 641 LOCv3.19: 641 LOCv3.20: 641 LOCv3.21: 641 LOCv3.22: 641 LOCv3.23: 641 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 · 76 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Repository practices

Bioconductor git repository

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

1 practice detected in the Bioconductor git repository

Continuous integration (1)
GitHub Actions

Datasets

Bundled datasets · 3
NameClassSizeAlso in
shoemaker2015list2 elementsNo other package
varoquaux2019leaflist2 elementsNo other package
varoquaux2019rootlist2 elementsNo other package

All of timecoursedata's data objects

Topics

Maintainer
Nelle Varoquaux

Available on

CRANr2uBioconductorautoCRANCOPR

Suggested by (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("timecoursedata")
Varoquaux, N., & Purdom, E. (2026). timecoursedata: A data package for timecourse RNA-seq and microarray gene expression data sets (Version 1.22.0) [Computer software]. https://bioconductor.org/packages/timecoursedata

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 timecoursedata version 1.22.0 [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.

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