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seqsetvis

Bioc current

Set Based Visualizations for Next-Gen Sequencing Data

v1.32.0 · software · MIT + file LICENSE

Release Lineage

Entered 3.7 · May 1, 2018

Current · Requires R 4.6

1.0 In 17 of 49 releases 3.23

Description

seqsetvis enables the visualization and analysis of sets of genomic sites in next gen sequencing data. Although seqsetvis was designed for the comparison of mulitple ChIP-seq samples, this package is domain-agnostic and allows the processing of multiple genomic coordinate files (bed-like files) and signal files (bigwig files pileups from bam file). seqsetvis has multiple functions for fetching data from regions into a tidy format for analysis in data.table or tidyverse and visualization via ggplot2.

Test coverage

Line coverage

Expression

Tests / Examples

Functions

89 67 exported

Complexity

5.9 avg / 22 max

Call network

89 nodes / 93 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

18,176

Files

202

Compiled share

0%

Has compiled src

No

Language breakdown

R 7,777 (42.8%)Tests 4,265 (23.5%)Docs 4,940 (27.2%)Vignettes 1,194 (6.6%)

API

Exported functions

69

Internal functions

22

Recent export changes

v3.9+2 ssvFetchBamPE, ssvFetchGRanges  −3 fetchBam, ssvFetchBam.single, ssvFetchBigwig.single
v3.8+2 crossCorrByRle, harmonize_seqlengths

Testing & CI

Has tests

Yes

Test-to-code ratio

0.55

testthat edition

CI present

Yes

CI type

["travis"]

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

4.3

System requirements

C++ standard

License

MIT + file LICENSE

License flags

SPDX valid, OSI approved

History

Versions

17

First release

2018-05-25

Latest release

2026-04-28

Avg cadence

194 days

Cold removal rate

100%

Dep drift

12

LOC over versions

v3.7: 8,029 LOCv3.8: 8,967 LOCv3.9: 10,641 LOCv3.10: 11,424 LOCv3.11: 12,275 LOCv3.12: 13,135 LOCv3.13: 14,212 LOCv3.14: 15,755 LOCv3.15: 15,698 LOCv3.16: 16,239 LOCv3.17: 16,251 LOCv3.18: 16,809 LOCv3.19: 16,917 LOCv3.20: 18,036 LOCv3.21: 18,121 LOCv3.22: 18,169 LOCv3.23: 18,176 LOC

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

Documentation

Documentation
READMEYes · 29 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
0%

Topics

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("seqsetvis")
Boyd, J. R. (2026). seqsetvis: Set Based Visualizations for Next-Gen Sequencing Data (Version 1.32.0) [Computer software]. https://bioconductor.org/packages/seqsetvis

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 seqsetvis version 1.32.0 [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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