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VISTA

Bioc current

Visualization and Integrated System for Transcriptomic Analysis

v1.0.0 · Package record · software · GPL-3

Release Lineage

Entered 3.23 · Apr 29, 2026

Current · Requires R 4.6

1.0 In 1 of 49 releases 3.23

Description

The VISTA (Visualization and Integrated System for Transcriptomic Analysis) platform streamlines differential expression workflows by wrapping DESeq2 and edgeR into a SummarizedExperiment-based container with consistent metadata. The package includes visualization utilities, MSigDB enrichment helpers, and optional deconvolution support to simplify interactive exploration of RNA-seq experiments.

Advisories

None published for Bioconductor

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

198 68 exported

Complexity

11.3 avg / 95 max

Call network

198 nodes / 358 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

31,103

Files

140

Compiled share

0%

Has compiled src

No

Language breakdown

R 17,264 (55.5%)Tests 3,285 (10.6%)Docs 6,086 (19.6%)Vignettes 4,468 (14.4%)

API

Exported functions

77

Internal functions

127

Recent export changes

v3.23+77 as_vista, benchmark_vista_equivalence, comparisons +74 more

Testing

Has tests

Yes

Test-to-code ratio

0.19

testthat edition

3

Docs

Roxygen coverage

100%

Health & Security signals

Informational signals; not verdicts.

on.exit coverage

100%

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

GPL-3

License flags

SPDX valid, OSI approved

History

Versions

1

First release

2026-04-28

Latest release

2026-04-28

Avg cadence

–

Cold removal rate

–

Dep drift

0

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

Documentation

In the Bioconductor 3.23 release
READMEYes · 736 wordsVignettesYes · 1 · evaluation depends on the environmentNEWSYes · 100% structuredCitation fileNoWebsiteYes · pkgdown
Help pages
87 (15 internal)
Examples that run
93%65 run in a plain check (4 of them under a condition) · 5 never run
Exported functions with examples
100%
Documented parameters
95%
Return-value docs
100%
Help pages citing references
0%

Repository practices

Upstream repositoryBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/cparsania/vista on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-08-06 · The repository has a site deploy workflow

pkgdown site last built 2026-08-06

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v3 (2026-09-26)

Datasets

Bundled datasets · 2
NameClassSizeAlso in
count_datatibble63,677 × 9No other package
sample_metadatatibble8 × 13No other package

1 internal object is bundled for the package's own use and not listed here.

All of VISTA's data objects

Topics

Maintainer
Chirag Parsania

Available on

CRANr2uBioconductorautoCRANCOPR

People

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("VISTA")
Parsania, C. (2026). VISTA: Visualization and Integrated System for Transcriptomic Analysis (Version 1.0.0) [Computer software]. https://bioconductor.org/packages/VISTA

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 VISTA version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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