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TCGAbiolinks

Bioc current

TCGAbiolinks: An R/Bioconductor package for integrative analysis with GDC data

v2.40.0 · software · GPL (>= 3)

Release Lineage

Entered 3.2 · Oct 14, 2015

Current · Requires R 4.6

1.0 In 22 of 49 releases 3.23

Description

The aim of TCGAbiolinks is : i) facilitate the GDC open-access data retrieval, ii) prepare the data using the appropriate pre-processing strategies, iii) provide the means to carry out different standard analyses and iv) to easily reproduce earlier research results. In more detail, the package provides multiple methods for analysis (e.g., differential expression analysis, identifying differentially methylated regions) and methods for visualization (e.g., survival plots, volcano plots, starburst plots) in order to easily develop complete analysis pipelines.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

137 57 exported

Complexity

6.9 avg / 60 max

Call network

137 nodes / 152 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

20,843

Files

194

Compiled share

0%

Has compiled src

No

Language breakdown

R 11,793 (56.6%)Tests 889 (4.3%)Docs 4,007 (19.2%)Vignettes 4,154 (19.9%)

API

Exported functions

57

Internal functions

79

Recent export changes

v3.9+1 TCGAanalyze_Stemness
v3.8+4 GDCquery_ATAC_seq, colDataPrepare, get.GRCh.bioMart +1 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.08

testthat edition

CI present

Yes

CI type

["travis","appveyor"]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

21

Dep constraint coverage

27.6%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1.0

System requirements

C++ standard

License

GPL (>= 3)

License flags

SPDX valid, OSI approved

History

Versions

22

First release

2016-04-02

Latest release

2026-04-28

Avg cadence

176 days

Cold removal rate

100%

Dep drift

80

LOC over versions

v3.2: 11,804 LOCv3.3: 12,584 LOCv3.4: 45,153 LOCv3.5: 46,015 LOCv3.6: 21,982 LOCv3.7: 22,040 LOCv3.8: 22,491 LOCv3.9: 16,608 LOCv3.10: 18,475 LOCv3.11: 19,553 LOCv3.12: 19,657 LOCv3.13: 19,842 LOCv3.14: 20,472 LOCv3.15: 20,983 LOCv3.16: 21,104 LOCv3.17: 20,615 LOCv3.18: 20,688 LOCv3.19: 20,691 LOCv3.20: 20,739 LOCv3.21: 20,817 LOCv3.22: 20,843 LOCv3.23: 20,843 LOC

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

Documentation

Documentation
READMEYes · 368 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo
Examples that run
71%
Documented parameters
98%
Return-value docs
91%
References docs
0%

Topics

Depended on by (13)

CRAN (1)

People

Tiago Chedraoui Silva

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("TCGAbiolinks")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

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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