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ChromSCape

Bioc current

Analysis of single-cell epigenomics datasets with a Shiny App

v1.22.0 · software · GPL-3

Release Lineage

Entered 3.12 · Oct 28, 2020

Current · Requires R 4.6

1.0 In 12 of 49 releases 3.23

Description

ChromSCape - Chromatin landscape profiling for Single Cells - is a ready-to-launch user-friendly Shiny Application for the analysis of single-cell epigenomics datasets (scChIP-seq, scATAC-seq, scCUT&Tag, ...) from aligned data to differential analysis & gene set enrichment analysis. It is highly interactive, enables users to save their analysis and covers a wide range of analytical steps: QC, preprocessing, filtering, batch correction, dimensionality reduction, vizualisation, clustering, differential analysis and gene set analysis.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

141 83 exported

Complexity

4.9 avg / 25 max

Call network

141 nodes / 121 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

14,813

Files

484

Compiled share

0.4%

Has compiled src

Yes

Language breakdown

R 8,862 (59.8%)C/C++/src 64 (0.4%)Tests 44 (0.3%)Docs 5,275 (35.6%)Vignettes 568 (3.8%)

API

Exported functions

82

Internal functions

55

Testing & CI

Has tests

Yes

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

0%

Unsafe pattern score

99

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.5

System requirements

C++ standard

License

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

12

First release

2020-10-27

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

100%

Dep drift

17

LOC over versions

v3.12: 8,032 LOCv3.13: 12,545 LOCv3.14: 13,596 LOCv3.15: 14,222 LOCv3.16: 14,574 LOCv3.17: 14,655 LOCv3.18: 14,655 LOCv3.19: 14,655 LOCv3.20: 14,655 LOCv3.21: 14,655 LOCv3.22: 14,813 LOCv3.23: 14,813 LOC

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

Documentation

Documentation
READMEYes · 812 wordsVignettesYes · dynamicpkgdown siteYesNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
91%
Documented parameters
97%
Return-value docs
100%
References docs
4%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ChromSCape")
Prompsy, P., & Vallot, C. (2026). ChromSCape: Analysis of single-cell epigenomics datasets with a Shiny App (Version 1.22.0) [Computer software]. https://bioconductor.org/packages/ChromSCape

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 ChromSCape version 1.22.0 [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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