GLAD
Bioc currentGain and Loss Analysis of DNA
Release Lineage
Entered 1.5 · Oct 25, 2004
Current · Requires R 4.6
Description
Analysis of array CGH data : detection of breakpoints in genomic profiles and assignment of a status (gain, normal or loss) to each chromosomal regions identified.
None published for Bioconductor
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
128 0 exported
Complexity
5.6 avg / 35 max
Call network
128 nodes / 119 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
11,687
Files
89
Compiled share
42.5%
Has compiled src
Yes
Language breakdown
API
Exported functions
66
Internal functions
1
Testing
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
Docs
Roxygen coverage
–
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
2.10
System requirements
1 externalgsl. Note: users should have GSL installed. Windows users: 'consult the README file available in the inst directory of the source distribution for necessary configuration instructions'.
C++ standard
–
License
GPL-2
License flags
SPDX valid, OSI approved
History
Versions
44
First release
2004-11-03
Latest release
2026-04-28
Avg cadence
183 days
Cold removal rate
–
Dep drift
5
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Help pages
- 19 (1 internal)
- Examples that run
- 94%16 run in a plain check · 1 never run
- Exported functions with examples
- 93%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 26%
Also includes 2 demo scripts (run with demo())
- GLAD PDF
Repository practices
Checks read the Bioconductor git repository (git.bioconductor.org), branch RELEASE_3_23.
No development-tooling practices detected in the Bioconductor git repository.
Datasets
| Name | Class | Size | Also in |
|---|---|---|---|
| P20 | data.frame | 1,747 × 7 | No other package |
| P9 | data.frame | 1,747 × 7 | No other package |
| array1 | data.frame | 7,392 × 5 | No other package |
| array2 | data.frame | 7,392 × 5 | No other package |
| array3 | data.frame | 7,392 × 5 | No other package |
| cytoband | data.frame | 395 × 7 | No other package |
| gm00143 | data.frame | 2,271 × 6 | 2 packages |
| gm01524 | data.frame | 2,271 × 6 | 2 packages |
| gm01535 | data.frame | 2,271 × 6 | 2 packages |
| gm01750 | data.frame | 2,271 × 6 | 2 packages |
| gm02948 | data.frame | 2,271 × 6 | 2 packages |
| gm03134 | data.frame | 2,271 × 6 | 2 packages |
| gm03563 | data.frame | 2,271 × 6 | 2 packages |
| gm03576 | data.frame | 2,271 × 6 | 2 packages |
| gm04435 | data.frame | 2,271 × 6 | 2 packages |
| gm05296 | data.frame | 2,271 × 6 | 2 packages |
| gm07081 | data.frame | 2,271 × 6 | 2 packages |
| gm07408 | data.frame | 2,271 × 6 | 2 packages |
| gm10315 | data.frame | 2,271 × 6 | 2 packages |
| gm13031 | data.frame | 2,271 × 6 | 2 packages |
| gm13330 | data.frame | 2,271 × 6 | 2 packages |
Topics
Depended on by (4)
Suggested by (2)
People (from the free-text Author field)
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GLAD")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.