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CSSQ

Bioc current

Chip-seq Signal Quantifier Pipeline

v1.24.0 · software · Artistic-2.0

Release Lineage

Entered 3.11 · Apr 28, 2020

Current · Requires R 4.6

1.0 In 13 of 49 releases 3.23

Description

This package is desgined to perform statistical analysis to identify statistically significant differentially bound regions between multiple groups of ChIP-seq dataset.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

14 9 exported

Complexity

1.9 avg / 5 max

Call network

14 nodes / 12 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

1,365

Files

45

Compiled share

0%

Has compiled src

No

Language breakdown

R 638 (46.7%)Docs 616 (45.1%)Vignettes 111 (8.1%)

API

Exported functions

9

Internal functions

5

Testing & CI

Has tests

No

Test-to-code ratio

0.00

testthat edition

CI present

No

CI type

[]

PR gated

No

Docs

Roxygen coverage

100%

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

System requirements

C++ standard

License

Artistic-2.0

License flags

SPDX valid, OSI approved

History

Versions

13

First release

2020-06-02

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

0

LOC over versions

v3.11: 1,357 LOCv3.12: 1,357 LOCv3.13: 1,362 LOCv3.14: 1,365 LOCv3.15: 1,365 LOCv3.16: 1,365 LOCv3.17: 1,365 LOCv3.18: 1,365 LOCv3.19: 1,365 LOCv3.20: 1,365 LOCv3.21: 1,365 LOCv3.22: 1,365 LOCv3.23: 1,365 LOC

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

Documentation

Documentation
READMEYes · 2 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Topics

People

Fan Lab at Georgia Institute of Technology

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