vennDiagramLab

vennDiagramLab is the R companion to the Venn Diagram Lab web tool and the Python venn-diagram-lab package. It provides headless Venn / UpSet / Network diagram analysis and rendering for bioinformaticians and biostatisticians who work natively in R, with byte-equivalent outputs that match the web tool and the Python package down to the byte.

Features

44 SVG diagram models (2- to 9-set) from a dozen construction methods (Venn 1880, Edwards 1996, Anderson 1988, Grünbaum 1984/1992, Bannier-Bodin 2017, Carroll 2000, Mamakani 2012, SUMO-Venn) — the same library shipped by the web tool.
Area-proportional 2- and 3-set layouts via analytical (solve_2set) and approximate (solve_3set) solvers.
UpSet plots via ComplexUpset with sort-by-size / sort-by-degree, depth / heatmap / custom color modes, and threshold cutoffs.
Force-directed network views via ggraph + tidygraph, with configurable edge metric (intersection / Jaccard / fold enrichment / overlap coefficient) and significance coloring.
Five pairwise statistical metrics (Jaccard, Dice, overlap coefficient, fold enrichment, hypergeometric over-representation) with BH-FDR adjustment.
Multi-page PDF reports combining overview, Venn + UpSet, statistics tables, network, and methodology pages in a single US-Letter-landscape document.
ggplot2 layer (geom_venn()) and broom-compatible S3 methods (tidy() / glance() / augment()) for tidyverse + targets / drake pipeline integration.
Byte-equivalent TSV exports tested against the React webapp’s golden fixtures — the same region-summary, item-matrix, and statistics files the web tool’s “Export” buttons emit.
Cross-implementation parity verified by 12 byte-equivalence tests against the Python package’s golden fixtures (4 sample datasets × 3 export types).

Install

From CRAN (recommended once published)

install.packages("vennDiagramLab")

From Bioconductor (alternate channel once published)

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("vennDiagramLab")

Development version (GitHub)

The package source lives in the r/ subdirectory of the monorepo:

install.packages("remotes")
remotes::install_github("ZoliQua/Venn-Diagram-Lab", subdir = "r")

A standalone mirror (no subdir = needed) is kept in sync on every push to main for Bioconductor’s Single Package Builder, which requires DESCRIPTION at repo root:

remotes::install_github("ZoliQua/vennDiagramLab")

Both installs produce the same package; the mirror exists purely to satisfy Bioc’s submission tooling.

Quickstart

library(vennDiagramLab)

# Load a bundled dataset (4 cancer driver source catalogs)
ds     <- load_sample("dataset_real_cancer_drivers_4")
result <- analyze(ds)

# Render the Venn diagram as SVG
svg <- render_venn_svg(result, title = "Cancer driver overlap")
writeLines(svg, "cancer_drivers.svg")

# Or get a tidy summary
broom::tidy(result)

# Or generate a multi-page PDF report
to_pdf_report(result, "cancer_drivers.pdf")

See vignette("v01_quickstart") for the full intro and browseVignettes("vennDiagramLab") for the complete eight-vignette gallery.

Documentation

Full reference site + vignettes: https://zoliqua.github.io/Venn-Diagram-Lab/r/
Eight RMarkdown vignettes (also accessible via vignette(package = "vennDiagramLab")):
1. v01_quickstart — five-step intro.
2. v02_real_cancer_drivers — long-form biological walkthrough (Vogelstein, COSMIC CGC, OncoKB, IntOGen).
3. v03_proportional_diagrams — area-proportional 2/3-set layouts and the low-level geometry helpers.
4. v04_upset_vs_venn_vs_network — choosing the right visualization per set count.
5. v05_statistics_deep_dive — Jaccard / Dice / hypergeometric / BH-FDR worked examples.
6. v06_pipeline_integration — broom + dplyr + targets pipeline sketch.
7. v07_pdf_reports — composite multi-page PDF generation.
8. v08_custom_styling_and_export — custom names / colors, geom_venn(), multi-format export.

vennDiagramLab is one of three coordinated implementations sharing the same SVG model library, statistics, and byte-equivalent TSV outputs:

Web tool — interactive viewer, editor, and visual analysis: https://www.venndiagramlab.org/
Python package (venn-diagram-lab on PyPI): https://pypi.org/project/venn-diagram-lab/
R package (this package — vennDiagramLab on CRAN + Bioconductor)

Source repositories

Monorepo (web tool + Python + R, primary development): https://github.com/ZoliQua/Venn-Diagram-Lab
R-only mirror (for Bioconductor Single Package Builder, auto-synced from monorepo main): https://github.com/ZoliQua/vennDiagramLab

The mirror is read-only — file changes should always be made in the monorepo. A GitHub Action splits the r/ subtree and force-pushes it (with a Bioc 0.99.z Version override) to the mirror on every push to main.

Citation

If you use vennDiagramLab in published work, please cite both the software and the version you used.

After install:

citation("vennDiagramLab")

returns a bibentry with the correct version + DOI for the installed copy.

Concept (all-versions) DOI

The Zenodo concept DOI 10.5281/zenodo.19510813 always resolves to the latest version of vennDiagramLab. Cite this DOI when you want readers to be pointed at whatever is current.

Version-specific DOI

Each tagged R release (r-vX.Y.Z) mints its own Zenodo deposit and DOI. The most recent version-specific record is at https://zenodo.org/records/20088768; the per-version DOI from any release archive is preferable for exact reproducibility.

Plain-text citation

Dul Z., Ölbei M., Thomas N.S.B., Si Ammour A., Csikász-Nagy A. (2026).
vennDiagramLab: Headless Venn diagram analysis and rendering.
R package version 2.0.4.
https://zoliqua.github.io/Venn-Diagram-Lab/r/
DOI: 10.5281/zenodo.19510813 (all versions)

Contributing + bug reports

Issues: https://github.com/ZoliQua/Venn-Diagram-Lab/issues
The repository accepts pull requests against main in the monorepo. Do not open PRs against the R-only mirror — they will be lost on the next subtree sync.

License

MIT — see LICENSE.