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HiCParser

Bioc current

Parser for HiC data in R

v1.4.0 · Package record · software · LGPL

Release Lineage

Entered 3.21 · Apr 16, 2025

Current · Requires R 4.6

1.0 In 3 of 49 releases 3.23

Description

This package is a parser to import HiC data into R. It accepts several type of data: tabular files, Cooler `.cool` or `.mcool` files, Juicer `.hic` files or HiC-Pro `.matrix` and `.bed` files. The HiC data can be several files, for several replicates and conditions. The data is formated in an InteractionSet object.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

34 5 exported

Complexity

3.6 avg / 12 max

Call network

34 nodes / 45 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

2,388

Files

38

Compiled share

22.1%

Has compiled src

Yes

Language breakdown

R 943 (39.5%)C/C++/src 527 (22.1%)Tests 280 (11.7%)Docs 277 (11.6%)Vignettes 361 (15.1%)

API

Exported functions

5

Internal functions

11

Recent export changes

v3.21+5 mergeInteractionSet, parseCool, parseHiC +2 more

Testing

Has tests

Yes

Test-to-code ratio

0.30

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

–

Unsafe pattern score

0

Dep constraint coverage

10%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

–

System requirements

–

C++ standard

–

License

LGPL

License flags

not SPDX, not OSI

History

Versions

3

First release

2025-04-15

Latest release

2026-04-28

Avg cadence

189 days

Cold removal rate

–

Dep drift

2

LOC over versions

v3.21: 2,388 LOCv3.22: 2,388 LOCv3.23: 2,388 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 · 747 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structuredCitation fileYes · computed when R runs it
Help pages
6includes a package overview page
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

11 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/emaigne/hicparser on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Governance and community (4)
Code of conductContributing guideIssue templatesSupport guide
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-07 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting (Codecov)
How this is detected·Detection ruleset v4 (2026-10-20)

Datasets

Bundled datasets · 1
NameClassSizeAlso in
hicsample_21data.frame44 × 4No other package

All of HiCParser's data objects

Topics

Maintainer
Maigné Élise

Available on

CRANr2uBioconductorautoCRANCOPR

Depended on by (1)

CRAN (1)

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("HiCParser")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 HiCParser version 1.4.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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