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HiCaptuRe

Bioc current

HiCaptuRe: Manipulating and integrating Capture Hi-C data

v1.2.0 · Package record · software · GPL-3

Release Lineage

Entered 3.22 · Oct 30, 2025

Current · Requires R 4.6

1.0 In 2 of 49 releases 3.23

Description

Capture Hi-C is a set of techniques that enable the detection of genomic interactions involving regions of interest, known as baits. By focusing on selected loci, these approaches reduce sequencing costs while maintaining high resolution at the level of restriction fragments. HiCaptuRe provides tools to import, annotate, manipulate, and export Capture Hi-C data. The package accounts for the specific structure of bait–otherEnd interactions, facilitates integration with other omics datasets, and enables comparison across samples and conditions.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

36 10 exported

Complexity

3.5 avg / 21 max

Call network

36 nodes / 27 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

3,417

Files

54

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,755 (51.4%)Tests 274 (8%)Docs 503 (14.7%)Vignettes 885 (25.9%)

API

Exported functions

13

Internal functions

26

Recent export changes

v3.22+13 annotate_interactions, digest_genome, distance_summary +10 more

Testing

Has tests

Yes

Test-to-code ratio

0.16

testthat edition

–

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

4.5.0

System requirements

–

C++ standard

–

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

2

First release

2025-10-29

Latest release

2026-04-28

Avg cadence

181 days

Cold removal rate

–

Dep drift

0

LOC over versions

v3.22: 3,417 LOCv3.23: 3,417 LOC

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 100 wordsVignettesYes · 2 · dynamicNEWSYes · 0% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
16 (4 internal)includes a package overview page
Examples that run
100%11 run in a plain check
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
0%
Vignettes (2)

Repository practices

Upstream repositoryBeta

Checks run against github.com/lauretomas/hicapture on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
PAR_Homo_sapiens_coordinatesdata.frame2 × 5No other package
annotation_exampledata.frame1,052 × 5No other package

All of HiCaptuRe's data objects

Topics

Maintainer
Laureano Tomas-Daza

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HiCaptuRe")
Laureano Tomas-Daza. (2026). HiCaptuRe: HiCaptuRe: Manipulating and integrating Capture Hi-C data (Version 1.2.0) [Computer software]. https://bioconductor.org/packages/HiCaptuRe

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 HiCaptuRe version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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