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Basic4Cseq

Bioc current

Basic4Cseq: an R/Bioconductor package for analyzing 4C-seq data

v1.48.0 · software · LGPL-3

Release Lineage

Entered 2.14 · Apr 14, 2014

Current · Requires R 4.6

1.0 In 25 of 49 releases 3.23

Description

Basic4Cseq is an R/Bioconductor package for basic filtering, analysis and subsequent visualization of 4C-seq data. Virtual fragment libraries can be created for any BSGenome package, and filter functions for both reads and fragments and basic quality controls are included. Fragment data in the vicinity of the experiment's viewpoint can be visualized as a coverage plot based on a running median approach and a multi-scale contact profile.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

36 0 exported

Complexity

3.7 avg / 32 max

Call network

36 nodes / 0 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

2,988

Files

65

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,738 (58.2%)Docs 914 (30.6%)Vignettes 336 (11.2%)

API

Exported functions

0

Internal functions

36

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

Unsafe pattern score

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

3.4

System requirements

C++ standard

License

LGPL-3

License flags

SPDX valid, OSI approved

History

Versions

25

First release

2014-06-30

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

6

LOC over versions

v2.14: 2,980 LOCv3.0: 2,980 LOCv3.1: 2,980 LOCv3.2: 2,986 LOCv3.3: 2,986 LOCv3.4: 2,986 LOCv3.5: 2,986 LOCv3.6: 2,988 LOCv3.7: 2,988 LOCv3.8: 2,988 LOCv3.9: 2,988 LOCv3.10: 2,988 LOCv3.11: 2,988 LOCv3.12: 2,988 LOCv3.13: 2,988 LOCv3.14: 2,988 LOCv3.15: 2,988 LOCv3.16: 2,988 LOCv3.17: 2,988 LOCv3.18: 2,988 LOCv3.19: 2,988 LOCv3.20: 2,988 LOCv3.21: 2,988 LOCv3.22: 2,988 LOCv3.23: 2,988 LOC

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

Topics

People

Carolin Walter

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Basic4Cseq")

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 Basic4Cseq version 1.48.0 [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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