Skip to content

TransOmicsData

Bioc current

A collection of trans-omics datasets across various biological systems

v1.8.0 · Package record · experiment · GPL-3 + file LICENSE

Release Lineage

Entered 3.19 · May 1, 2024

Current · Requires R 4.6

1.0 In 5 of 49 releases 3.23

Description

Contains a collection of trans-omics datasets generated using various sequencing technologies such as RNA-seq, Mass spectrometry and ChIP-seq. Modalities include the bulk profiling of the phosphoproteome, proteome, transcriptome and epigenome. Data reflects the timecourses of different developmental systems from the mouse or human.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

1 1 exported

Complexity

1 avg / 1 max

Call network

1 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

155

Files

25

Compiled share

0%

Has compiled src

No

Language breakdown

R 35 (22.6%)Tests 19 (12.3%)Docs 31 (20%)Vignettes 70 (45.2%)

API

Exported functions

1

Internal functions

0

Recent export changes

v3.19+1 listDatasets

Testing

Has tests

Yes

Test-to-code ratio

0.54

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

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

GPL-3 + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

5

First release

2024-05-28

Latest release

2026-04-28

Avg cadence

175 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.19: 155 LOCv3.20: 155 LOCv3.21: 155 LOCv3.22: 155 LOCv3.23: 155 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 · 72 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
1
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

Checks run against github.com/pyanglab/transomicsdata on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 4
NameClassSizeAlso in
manifestdata.frame3 × 5No other package
metadata-chen-organoiddata.frame4 × 15No other package
metadata-xiao-myogenesisdata.frame4 × 15No other package
metadata-yang-escdata.frame4 × 15No other package

All of TransOmicsData's data objects

Topics

Maintainer
Di Xiao

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' entry:

citation("TransOmicsData")

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

It points to 10.18129/b9.bioc.transomicsdata.

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 TransOmicsData version 1.8.0 [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