TumourMethData
Bioc currentA Collection of DNA Methylation Datasets for Human Tumour Samples and Matching Normal Samples
Release Lineage
Entered 3.18 · Oct 25, 2023
Current · Requires R 4.6
Description
TumourMethData collects tumour methylation data from a variety of different tumour types (and also matching normal samples where available) and produced with different technologies (e.g. WGBS, RRBS and methylation arrays) and provides them as RangedSummarizedExperiments. This facilitates easy extraction of methylation data for regions of interest across different tumour types and studies.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
2 2 exported
Complexity
4.5 avg / 7 max
Call network
2 nodes / 0 edges
Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Code
Structure
Lines of code
320
Files
29
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
2
Internal functions
0
Testing & CI
Has tests
No
Test-to-code ratio
0.00
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
4.2
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
6
First release
2023-10-24
Latest release
2026-04-28
Avg cadence
189 days
Cold removal rate
–
Dep drift
43
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Topics
Depended on by (1)
Bioconductor (1)
People
- Richard Heery author maintainer