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RTCGA

Bioc current

The Cancer Genome Atlas Data Integration

v1.41.0 · software · GPL-2

Release Lineage

Entered 3.2 · Oct 14, 2015

Current · Requires R 4.6

1.0 In 22 of 49 releases 3.23

Description

The Cancer Genome Atlas (TCGA) Data Portal provides a platform for researchers to search, download, and analyze data sets generated by TCGA. It contains clinical information, genomic characterization data, and high level sequence analysis of the tumor genomes. The key is to understand genomics to improve cancer care. RTCGA package offers download and integration of the variety and volume of TCGA data using patient barcode key, what enables easier data possession. This may have an benefcial infuence on impact on development of science and improvement of patients' treatment. Furthermore, RTCGA package transforms TCGA data to tidy form which is convenient to use.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

28 15 exported

Complexity

3.1 avg / 16 max

Call network

28 nodes / 16 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

4,206

Files

117

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,214 (52.6%)Tests 78 (1.9%)Docs 1,853 (44.1%)Vignettes 61 (1.5%)

API

Exported functions

15

Internal functions

13

Testing & CI

Has tests

Yes

Test-to-code ratio

0.04

testthat edition

CI present

Yes

CI type

["travis"]

PR gated

No

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

3.3.0

System requirements

C++ standard

License

GPL-2

License flags

SPDX valid, OSI approved

History

Versions

22

First release

2016-01-18

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

12

LOC over versions

v3.2: 1,988 LOCv3.3: 4,060 LOCv3.4: 4,060 LOCv3.5: 3,905 LOCv3.6: 3,905 LOCv3.7: 3,905 LOCv3.8: 3,907 LOCv3.9: 3,907 LOCv3.10: 3,907 LOCv3.11: 3,907 LOCv3.12: 3,907 LOCv3.13: 3,907 LOCv3.14: 4,120 LOCv3.15: 4,120 LOCv3.16: 4,202 LOCv3.17: 4,202 LOCv3.18: 4,202 LOCv3.19: 4,202 LOCv3.20: 4,202 LOCv3.21: 4,202 LOCv3.22: 4,202 LOCv3.23: 4,206 LOC

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

Documentation

Documentation
READMEYes · 269 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
75%
Documented parameters
93%
Return-value docs
50%
References docs
0%

Topics

Depended on by (9)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RTCGA")
Kosinski, M., Biecek, P., & Chodor, W. (2026). RTCGA: The Cancer Genome Atlas Data Integration (Version 1.41.0) [Computer software]. https://bioconductor.org/packages/RTCGA

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 RTCGA version 1.41.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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