A gallery of computational biology

bioinform.art

About

Where biological data becomes art.

Every piece here is drawn from the field itself — phylogenies, genomes, embeddings, expression matrices — or made with the tools that read them. The instruments are the same. Only the intent has changed.

The idea

A pipeline ends. A picture begins.

Bioinformatics spends its days turning the living world into arrays — reads, trees, coordinates, p-values. Somewhere between the raw signal and the final figure, the data starts to look like something. We collect those moments: the frame where an alignment becomes a landscape, where a genome curls into a wheel, where ten thousand cells settle into a cloud.

Nothing here is decoration. Each piece is the honest output of a method, chosen for its beauty and shown at gallery scale — with the article, the tool, and the coordinates kept on the wall label, in plain sight.

The BioinformArt wordmark, with the letters A-R-T rendered as stippled clusters of coloured points.
The full identity — the letters of ART, stippled from data points.
01 / category

Scientific Art

Visualizations derived from real data. Each work is bound to its source: a published article, a DOI, a dataset. The image is an argument you can trace back to the evidence.

requires a source article →
02 / category

Inspired Art

Images made with the tools of the field — the same libraries, algorithms and colormaps — but not tied to any one dataset. Craft over claim. Optionally, the code lives on GitHub.

tool & method, optional repo →
Contribute

Submit a piece

Add your work to the gallery. Submissions render into the collection immediately in this preview.

A title is required.
An artist name is required.
Optional — the image's original year, for older work.
Optional — GitHub, DOI, article, project page, etc.
Preview of your uploaded artwork
No image handy? Leave it empty and we'll render a placeholder plate from the field for this preview.
Recommended for publishing: drop the file in the repo's images/ folder and reference it here (e.g. images/health-units.png), or paste an external URL. Keeps obras.json small. If set, it takes priority over the upload above.
Optional — journal URL or DOI behind the image.
Scientific Art needs a source article link.
Name the tool or method used.
Link a GitHub repository
Placeholder Repository linking & README preview aren't wired up in this preview build. Paste a URL now — live repo validation and a code panel land here next.
Comma-separated. Shown on the card and used by the gallery search.
0 piece(s) in the gallery · edit, then download & commit obras.json to publish