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epistack

Bioc current

Heatmaps of Stack Profiles from Epigenetic Signals

v1.18.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.14 · Oct 27, 2021

Current · Requires R 4.6

1.0 In 10 of 49 releases 3.23

Description

The epistack package main objective is the visualizations of stacks of genomic tracks (such as, but not restricted to, ChIP-seq, ATAC-seq, DNA methyation or genomic conservation data) centered at genomic regions of interest. epistack needs three different inputs: 1) a genomic score objects, such as ChIP-seq coverage or DNA methylation values, provided as a `GRanges` (easily obtained from `bigwig` or `bam` files). 2) a list of feature of interest, such as peaks or transcription start sites, provided as a `GRanges` (easily obtained from `gtf` or `bed` files). 3) a score to sort the features, such as peak height or gene expression value.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

13 13 exported

Complexity

5.3 avg / 21 max

Call network

13 nodes / 11 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

3,092

Files

77

Compiled share

0%

Has compiled src

No

Language breakdown

R 1,210 (39.1%)Tests 499 (16.1%)Docs 883 (28.6%)Vignettes 500 (16.2%)

API

Exported functions

13

Internal functions

0

Testing & CI

Has tests

Yes

Test-to-code ratio

232.80

testthat edition

3

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

0

Dep constraint coverage

0%

Secret pattern count

0

Bundled 3rd-party code

2 items

Portability & License

Min R version

4.1

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

10

First release

2021-10-26

Latest release

2026-04-28

Avg cadence

182 days

Cold removal rate

Dep drift

3

LOC over versions

v3.14: 2,375 LOCv3.15: 2,974 LOCv3.16: 2,974 LOCv3.17: 3,058 LOCv3.18: 3,092 LOCv3.19: 3,092 LOCv3.20: 3,092 LOCv3.21: 3,092 LOCv3.22: 3,092 LOCv3.23: 3,092 LOC

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

Documentation

Documentation
READMEYes · 163 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
88%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("epistack")
Guillaume, D., & Safia, S. (2026). epistack: Heatmaps of Stack Profiles from Epigenetic Signals (Version 1.18.0) [Computer software]. https://bioconductor.org/packages/epistack

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 epistack version 1.18.0 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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