gbdraw
May 10, 2026 ยท View on GitHub
gbdraw

gbdraw is a command-line and browser-based tool for publication-quality genome diagrams. It accepts GenBank/DDBJ flatfiles or GFF3 + FASTA pairs and produces circular or linear plots in SVG, PNG, PDF, EPS, or PS.
Features
- Circular and linear genome diagrams from annotated sequence files
- Comparative genomics tracks from BLAST outfmt 6 or 7
- Browser-based GUI at gbdraw.app and local GUI via
gbdraw gui - Fine-grained control over colors, labels, legends, and track layout
- SVG-first workflow with optional CairoSVG-based export to PNG, PDF, EPS, and PS
Documentation
| Guide | Description |
|---|---|
| Full documentation | Main entry point for the published docs set. |
| Installation | Hosted app, Bioconda, and local development installation. |
| Quickstart | First circular plot in a few minutes. |
| Tutorials | Step-by-step guides for styling, comparisons, and advanced customization. |
| Recipes | Copy-paste command patterns for common tasks. |
| CLI Reference | Current command help for the CLI. |
| Gallery | Example plots and commands. |
| FAQ | Common questions and known limitations. |
| About | Citation information and project background. |
Use Without Local Installation
The hosted web app runs entirely in your browser:
Uploaded genomic data stays on your machine. The hosted site also uses Cloudflare Web Analytics for aggregate page and performance metrics.
Local Installation
For regular use, Bioconda is the main installation path:
mamba create -n gbdraw -c conda-forge -c bioconda gbdraw
conda activate gbdraw
gbdraw -h
gbdraw gui
For development from source:
git clone https://github.com/satoshikawato/gbdraw.git
cd gbdraw
python -m pip install -e ".[dev]"
If you need PNG/PDF/EPS/PS export from a source install, add the optional export dependency:
python -m pip install -e ".[dev,export]"
See Installation for details and platform notes.
Bug Reports and Suggestions
Please open an issue if you find a bug or want to propose an improvement:
https://github.com/satoshikawato/gbdraw/issues
How to cite
If you use gbdraw in your research, please cite the preprint:
Kawato, S. (2026). gbdraw: a genome diagram generator for microbes and organelles. bioRxiv. [https://doi.org/10.64898/2026.04.07.716863](https://doi.org/10.64898/2026.04.07.716863)