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tissueTreg

Bioc current

TWGBS and RNA-seq data from tissue T regulatory cells from mice

v1.32.0 · experiment · GPL (>= 2)

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

The package provides ready to use epigenomes (obtained from TWGBS) and transcriptomes (RNA-seq) from various tissues as obtained in the study (Delacher and Imbusch 2017, PMID: 28783152). Regulatory T cells (Treg cells) perform two distinct functions: they maintain self-tolerance, and they support organ homeostasis by differentiating into specialized tissue Treg cells. The underlying dataset characterises the epigenetic and transcriptomic modifications for specialized tissue Treg cells.

Code intelligence has not been computed for this package yet.

Code

Structure

Lines of code

214

Files

14

Compiled share

0%

Has compiled src

No

Language breakdown

Tests 23 (10.7%)Docs 28 (13.1%)Vignettes 163 (76.2%)

API

Exported functions

0

Internal functions

0

Testing & CI

Has tests

Yes

Test-to-code ratio

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5

System requirements

C++ standard

License

GPL (>= 2)

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-04-30

Latest release

2026-04-28

Avg cadence

183 days

Cold removal rate

Dep drift

0

LOC over versions

v3.7: 208 LOCv3.8: 208 LOCv3.9: 208 LOCv3.10: 208 LOCv3.11: 208 LOCv3.12: 208 LOCv3.13: 208 LOCv3.14: 208 LOCv3.15: 208 LOCv3.16: 208 LOCv3.17: 208 LOCv3.18: 214 LOCv3.19: 214 LOCv3.20: 214 LOCv3.21: 214 LOCv3.22: 214 LOCv3.23: 214 LOC

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

Topics

Depended on by (1)

Bioconductor (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tissueTreg")
Imbusch, C., Brors, B., Delacher, M., & Feuerer, M. (2026). tissueTreg: TWGBS and RNA-seq data from tissue T regulatory cells from mice (Version 1.32.0) [Computer software]. https://bioconductor.org/packages/tissueTreg

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 tissueTreg version 1.32.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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