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GDCRNATools

Bioc current

GDCRNATools: an R/Bioconductor package for integrative analysis of lncRNA, mRNA, and miRNA data in GDC

v1.32.0 · software · Artistic-2.0

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

This is an easy-to-use package for downloading, organizing, and integrative analyzing RNA expression data in GDC with an emphasis on deciphering the lncRNA-mRNA related ceRNA regulatory network in cancer. Three databases of lncRNA-miRNA interactions including spongeScan, starBase, and miRcode, as well as three databases of mRNA-miRNA interactions including miRTarBase, starBase, and miRcode are incorporated into the package for ceRNAs network construction. limma, edgeR, and DESeq2 can be used to identify differentially expressed genes/miRNAs. Functional enrichment analyses including GO, KEGG, and DO can be performed based on the clusterProfiler and DO packages. Both univariate CoxPH and KM survival analyses of multiple genes can be implemented in the package. Besides some routine visualization functions such as volcano plot, bar plot, and KM plot, a few simply shiny apps are developed to facilitate visualization of results on a local webpage.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

47 24 exported

Complexity

3.3 avg / 12 max

Call network

47 nodes / 33 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

4,423

Files

77

Compiled share

0%

Has compiled src

No

Language breakdown

R 2,744 (62%)Tests 14 (0.3%)Docs 1,245 (28.1%)Vignettes 420 (9.5%)

API

Exported functions

24

Internal functions

23

Recent export changes

v3.7+24 gdcBarPlot, gdcCEAnalysis, gdcClinicalDownload +21 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.01

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

4

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5.0

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-09-03

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.7: 5,012 LOCv3.8: 5,015 LOCv3.9: 5,015 LOCv3.10: 5,015 LOCv3.11: 5,015 LOCv3.12: 5,015 LOCv3.13: 5,015 LOCv3.14: 5,015 LOCv3.15: 4,423 LOCv3.16: 4,423 LOCv3.17: 4,423 LOCv3.18: 4,423 LOCv3.19: 4,423 LOCv3.20: 4,423 LOCv3.21: 4,423 LOCv3.22: 4,423 LOCv3.23: 4,423 LOC

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

Documentation

Documentation
READMEYes · 188 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
16%

Topics

Depended on by (1)

Bioconductor (1)

People

Ruidong Li

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GDCRNATools")

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 GDCRNATools 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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