SynExtend
Bioc currentTools for Comparative Genomics
Release Lineage
Entered 3.11 · Apr 28, 2020
Current · Requires R 4.6
Description
A multitude of tools for comparative genomics, focused on large-scale analyses of biological data. SynExtend includes tools for working with syntenic data, clustering massive network structures, and estimating functional relationships among genes.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
414 43 exported
Complexity
11.5 avg / 106 max
Call network
414 nodes / 607 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
30,118
Files
175
Compiled share
25.3%
Has compiled src
Yes
Language breakdown
API
Exported functions
44
Internal functions
133
Recent export changes
Testing & CI
Has tests
Yes
Test-to-code ratio
0.01
testthat edition
–
CI present
Yes
CI type
["github-actions"]
PR gated
Yes
Docs
Roxygen coverage
97.7%
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
0
Dep constraint coverage
8.3%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.5.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
13
First release
2020-04-27
Latest release
2026-04-28
Avg cadence
182 days
Cold removal rate
100%
Dep drift
6
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.
Documentation
- Examples that run
- 98%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 24%
Topics
People
- Nicholas Cooley author maintainer
- Adelle Fernando contributor
- Aidan Lakshman author contributor
- Erik Wright author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("SynExtend")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 v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.