Open science
for the benefit of all.

Data, models and tools built in the open, with anyone, for everyone.

Why it matters

Genetic research should include everyone.

A genetic difference common in one community can be rare in another. Yet most people in genetic studies so far have European ancestry. We learn from humanity’s diversity, so discoveries serve everyone, including communities research has left out.

Of every 100 participants in genome-wide studies, up to 2021

Populations with the greatest genetic diversityare the least represented in research.

  • 86European ancestry
  • 13All other ancestries, or not recorded
  • 1African ancestry

Source: GWAS Catalog, July 2021, in Fatumo et al., Nature Medicine, 2022 . A person in several studies is counted in each.

How it works

Three steps, all in the open.

  1. Gather and harmonize

    We collect genetic data from research papers and our community, welcome university and industry partners, and put it into one format. AI agents that read the research are coming.

  2. Build AI models

    Models learn from real measurements to estimate what hasn’t been measured yet, and show how sure they are.

  3. Explore the genomeOS Atlas

    Anyone can see the results on a free, interactive globe.

Our code, data and models are public, so anyone can check our work and build on it.

Our flagship project

A growing map of human genetic variation.

The genomeOS Atlas shows how common genetic differences are around the world, where data are still missing, and how sure we are. Spin the preview, then explore the real thing.

Read about our projects

Arrow keys turn the globe; Home returns it to its starting view. Focus pauses it.

  • Measured: 9,506 people tested, at 7.4°N 3.9°E.
  • Modeled: about 2.8%, likely 1.3–6.1%, at 23.1°N 20.9°E.
  • No estimate: no survey in range, at 50.0°N 60.8°E.
Shown: the sickle-cell variant, HbS.
Surveys, sized by people testedModeled share, 0–17% of gene copiesFades away from surveysNo estimate
Surveys, sized by people testedModel grid, no values drawnNo estimate

A simplified preview, made from a sample of real Atlas data.

Open the genomeOS Atlas

HbS (rs334) · model v3 · data map-2026-08 · revision 6e77ef2 · coarsened for display

View as table
The ten areas with the highest modeled frequency
Area centerModeled95% range across the areaNearest survey
8.4°S 17.5°E16%7.2–28%95 km
10.2°S 15.0°E14%4.8–28%191 km
7.2°S 14.8°E14%6.3–28%206 km
6.6°S 20.0°E14%6.6–25%167 km
5.4°S 17.2°E14%7.5–25%123 km
1.7°S 22.1°E13%5.1–26%280 km
7.0°N 6.1°E13%6.8–21%78 km
9.9°N 12.2°W13%4.2–25%164 km
5.3°N 4.3°E13%6.8–22%79 km
3.6°S 19.7°E13%6.4–23%321 km
Model cells by distance to the nearest survey
Distance to the nearest surveyShare of model cells
Survey within 170 km17.4%
Within 680 km41.7%
Within 1,361 km19.7%
No estimate21.2%

Measured surveys: 1,071

Join us

You don’t need a PhD to help.

We’re a hacker collective doing open-source citizen science.

All skillsets and backgrounds are welcome: coding, writing, healthcare, graphic design, fundraising, business strategy, or just a strong curiosity and desire to do good for the world. We’ll find a place to fit your expertise and interests.

Four people at work: a coder, a builder, an expert thinking and a data person, with an empty spot for you.Three people at work: a coder, an expert thinking and a data person, with an empty spot for you.