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diffHic

Bioc current

Differential Analysis of Hi-C Data

v1.44.0 · software · GPL-3

Release Lineage

Entered 3.1 · Apr 17, 2015

Current · Requires R 4.6

1.0 In 23 of 49 releases 3.23

Description

Detects differential interactions across biological conditions in a Hi-C experiment. Methods are provided for read alignment and data pre-processing into interaction counts. Statistical analysis is based on edgeR and supports normalization and filtering. Several visualization options are also available.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

162 41 exported

Complexity

5.1 avg / 18 max

Call network

162 nodes / 176 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

9,388

Files

149

Compiled share

25.6%

Has compiled src

Yes

Language breakdown

R 3,355 (35.7%)C/C++/src 2,402 (25.6%)Tests 582 (6.2%)Docs 3,009 (32.1%)Vignettes 40 (0.4%)

API

Exported functions

43

Internal functions

44

Recent export changes

v3.8+1 readMTX2IntSet  −1 normOffsets
v3.7−1 normalize

Testing & CI

Has tests

Yes

Test-to-code ratio

0.17

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

97.7%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

0%

Unsafe pattern score

2

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.5

System requirements

2

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

23

First release

2015-08-18

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

9

LOC over versions

v3.1: 7,046 LOCv3.2: 8,764 LOCv3.3: 9,245 LOCv3.4: 8,761 LOCv3.5: 9,257 LOCv3.6: 9,093 LOCv3.7: 8,969 LOCv3.8: 9,238 LOCv3.9: 9,249 LOCv3.10: 9,378 LOCv3.11: 9,378 LOCv3.12: 9,378 LOCv3.13: 9,386 LOCv3.14: 9,386 LOCv3.15: 9,386 LOCv3.16: 9,386 LOCv3.17: 9,386 LOCv3.18: 9,386 LOCv3.19: 9,375 LOCv3.20: 9,388 LOCv3.21: 9,388 LOCv3.22: 9,388 LOCv3.23: 9,388 LOC

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

Documentation

Documentation
READMEYes · 55 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
97%
References docs
32%

Topics

Depended on by (2)

Bioconductor (1)

CRAN (1)

People

Aaron Lun

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("diffHic")

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 diffHic version 1.44.0 [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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