Tools

We’ve created a platform to accelerate the development and use of state-of-the-art AI models, where developers can build biologically impactful models faster and biologists can apply them with ease.

From models to datasets to benchmarks, each is designed to be shared freely with the global scientific community. Visit our platform to use our tools and accelerate your research.

BIOMODELS

VariantFormer

A new AI biomodel that leverages individual DNA sequences to predict how genes will be expressed across different tissues. It’s the first model that directly translates personal genetic variations – including rare variants – into tissue-specific gene activity patterns.

Datasets

CELL×GENE

A large-scale, single cell-RNA sequencing resource that integrates data from over 140 million cells. The dataset is designed to support computational analysis of cellular diversity and dynamics in humans.

BENCHMARKS

Biohub Benchmarks

A standardized evaluation and comparison of machine learning models for biological applications. These benchmarks are a step toward ensuring that large-scale AI models can be harnessed to deliver genuine biological insights.

Portals

Cryo-ET Data Portal

A cloud-based, open-source portal aimed at driving the development of automated annotations of cyroET datasets. The portal provides biologists and developers open access to high-quality, standardized, annotated data they can readily use to retrain or develop new annotation models and algorithms.

Licensing

Many of our findings and innovations are freely available to the interested public. We make other innovations available for licensing by third parties so that they may be developed in the marketplace for public benefit. The technologies in our IP portfolio fall into four broad categories — biology, chemistry, engineering, and software — and include inventions both by intramural Biohub scientists and engineers and by Biohub Investigators from our university partners. For additional details or to discuss your interest in any of our technologies, please email ip@biohub.org.