DNAcycP2
Bioc currentDNA Cyclizability Prediction
Release Lineage
Entered 3.21 · Apr 16, 2025
Current · Requires R 4.6
Description
This package performs prediction of intrinsic cyclizability of of every 50-bp subsequence in a DNA sequence. The input could be a file either in FASTA or text format. The output will be the C-score, the estimated intrinsic cyclizability score for each 50 bp sequences in each entry of the sequence set.
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
3 2 exported
Complexity
5.3 avg / 10 max
Call network
3 nodes / 2 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
630
Files
25
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
2
Internal functions
1
Recent export changes
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
66.7%
Unsafe pattern score
0
Dep constraint coverage
0%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
4.4.0
System requirements
–
C++ standard
–
License
Artistic-2.0
License flags
SPDX valid, OSI approved
History
Versions
3
First release
2025-04-15
Latest release
2026-05-02
Avg cadence
191 days
Cold removal rate
–
Dep drift
0
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
- Ji-Ping Wang author maintainer
- Brody Kendall author
- Keren Li author
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("DNAcycP2")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 v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.