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TCseq

Bioc current

Time course sequencing data analysis

v1.36.0 · software · GPL (>= 2)

Release Lineage

Entered 3.5 · Apr 25, 2017

Current · Requires R 4.6

1.0 In 19 of 49 releases 3.23

Description

Quantitative and differential analysis of epigenomic and transcriptomic time course sequencing data, clustering analysis and visualization of the temporal patterns of time course data.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

18 10 exported

Complexity

8.4 avg / 22 max

Call network

18 nodes / 10 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

3,171

Files

43

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,873 (59.1%)Tests 67 (2.1%)Docs 1,067 (33.6%)Vignettes 164 (5.2%)

API

Exported functions

17

Internal functions

8

Recent export changes

v3.5+17 DBanalysis, DBresult, DBresult.cluster +14 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.04

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

100%

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.4

System requirements

C++ standard

License

GPL (>= 2)

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

Dep drift

0

LOC over versions

v3.5: 3,086 LOCv3.6: 3,086 LOCv3.7: 3,086 LOCv3.8: 3,086 LOCv3.9: 3,088 LOCv3.10: 3,088 LOCv3.11: 3,086 LOCv3.12: 3,088 LOCv3.13: 3,088 LOCv3.14: 3,088 LOCv3.15: 3,088 LOCv3.16: 3,170 LOCv3.17: 3,177 LOCv3.18: 3,171 LOCv3.19: 3,171 LOCv3.20: 3,171 LOCv3.21: 3,171 LOCv3.22: 3,171 LOCv3.23: 3,171 LOC

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

Documentation

Documentation
READMEYes · 11 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
98%
Return-value docs
100%
References docs
12%

Topics

Depended on by (1)

Bioconductor (1)

People

Mengjun Wu

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TCseq")

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 TCseq version 1.36.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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