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Bioc current

Phylogeny-based sequence clustering with site polymorphism

v1.28.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.9 · May 3, 2019

Current · Requires R 4.6

1.0 In 15 of 49 releases 3.23

Description

Using site polymorphism is one of the ways to cluster DNA/protein sequences but it is possible for the sequences with the same polymorphism on a single site to be genetically distant. This package is aimed at clustering sequences using site polymorphism and their corresponding phylogenetic trees. By considering their location on the tree, only the structurally adjacent sequences will be clustered. However, the adjacent sequences may not necessarily have the same polymorphism. So a branch-and-bound like algorithm is used to minimize the entropy representing the purity of site polymorphism of each cluster.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

244 21 exported

Complexity

3 avg / 24 max

Call network

244 nodes / 162 edges

Test coverage is not measured for Bioconductor packages; nodes fall back to a neutral fill.

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Lowest coverage

Per-function coverage is not measured for this package yet.

Code

Structure

Lines of code

9,189

Files

116

Compiled share

21.6%

Has compiled src

Yes

Language breakdown

R 4,869 (53%)C/C++/src 1,981 (21.6%)Tests 793 (8.6%)Docs 1,346 (14.6%)Vignettes 200 (2.2%)

API

Exported functions

25

Internal functions

131

Recent export changes

v3.9+10 SNPsites, addMSA, extractTips +7 more

Testing & CI

Has tests

Yes

Test-to-code ratio

0.16

testthat edition

CI present

Yes

CI type

["github-actions"]

PR gated

Yes

Docs

Roxygen coverage

100%

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

4.2

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

15

First release

2019-06-25

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

9

LOC over versions

v3.9: 3,857 LOCv3.10: 4,471 LOCv3.11: 5,117 LOCv3.12: 8,483 LOCv3.13: 8,710 LOCv3.14: 9,188 LOCv3.15: 9,188 LOCv3.16: 9,188 LOCv3.17: 9,188 LOCv3.18: 9,188 LOCv3.19: 9,188 LOCv3.20: 9,188 LOCv3.21: 9,189 LOCv3.22: 9,189 LOCv3.23: 9,189 LOC

Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/bioc-code-metrics.

Documentation

Documentation
READMEYes · 413 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
90%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sitePath")
Ji, C., Wu, A., & Zhou, H. (2026). sitePath: Phylogeny-based sequence clustering with site polymorphism (Version 1.28.0) [Computer software]. https://bioconductor.org/packages/sitePath

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sitePath version 1.28.0 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

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.

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