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segmenter

Bioc current

Perform Chromatin Segmentation Analysis in R by Calling ChromHMM

v1.18.0 · software · GPL-3

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

Chromatin segmentation analysis transforms ChIP-seq data into signals over the genome. The latter represents the observed states in a multivariate Markov model to predict the chromatin's underlying states. ChromHMM, written in Java, integrates histone modification datasets to learn the chromatin states de-novo. The goal of this package is to call chromHMM from within R, capture the output files in an S4 object and interface to other relevant Bioconductor analysis tools. In addition, segmenter provides functions to test, select and visualize the output of the segmentation.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

31 25 exported

Complexity

2.2 avg / 7 max

Call network

31 nodes / 22 edges

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

Loading call graph…

Lowest coverage

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

Code

Structure

Lines of code

4,123

Files

69

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,759 (42.7%)Tests 489 (11.9%)Docs 1,270 (30.8%)Vignettes 605 (14.7%)

API

Exported functions

38

Internal functions

6

Testing & CI

Has tests

Yes

Test-to-code ratio

0.28

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

4.1

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

10

First release

2021-10-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.14: 4,123 LOCv3.15: 4,123 LOCv3.16: 4,123 LOCv3.17: 4,123 LOCv3.18: 4,123 LOCv3.19: 4,123 LOCv3.20: 4,123 LOCv3.21: 4,123 LOCv3.22: 4,123 LOCv3.23: 4,123 LOC

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

Documentation

Documentation
READMEYes · 79 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("segmenter")
Ahmed, M. (2026). segmenter: Perform Chromatin Segmentation Analysis in R by Calling ChromHMM (Version 1.18.0) [Computer software]. https://bioconductor.org/packages/segmenter

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 segmenter version 1.18.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

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.

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