GenomicSuperSignature
Bioc currentInterpretation of RNA-seq experiments through robust, efficient comparison to public databases
Release Lineage
Entered 3.13 · May 20, 2021
Current · Requires R 4.6
Description
This package provides a novel method for interpreting new transcriptomic datasets through near-instantaneous comparison to public archives without high-performance computing requirements. Through the pre-computed index, users can identify public resources associated with their dataset such as gene sets, MeSH term, and publication. Functions to identify interpretable annotations and intuitive visualization options are implemented in this package.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
40 24 exported
Complexity
4 avg / 18 max
Call network
40 nodes / 33 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
4,931
Files
104
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
42
Internal functions
16
Testing & CI
Has tests
Yes
Test-to-code ratio
0.11
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
97.6%
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
4.1.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
11
First release
2021-05-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
1
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
People
- Sehyun Oh author maintainer
- Sean Davis author
- Levi Waldron author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GenomicSuperSignature")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.
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.