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Arc Virtual Cell Atlas
Arc's growing library of cell data, the fuel for virtual cell models.
Overview
The Arc Virtual Cell Atlas is the Arc Institute's growing library of cell data, the fuel for virtual cell models. It brings together curated and harmonised single-cell observational and perturbational datasets, amounting to hundreds of millions of cells, for model training, and it includes Tahoe-100M and scBaseCount. The atlas is paired with the Virtual Cell Challenge benchmark, so that models trained on its data can be compared on a common test. It is maintained by the Arc Institute and released openly. The collection is referenced by the virtual cell roadmap, the AI in oncology roadmap and the drug discovery roadmap, which traces the move from screening in mice to maps of dependency to designing in silico.
Holds
Curated, harmonised single-cell observational and perturbational datasets (hundreds of millions of cells) for model training.
Licence
Open
Maintainer
Arc Institute
Dataset registry
Size: Hundreds of millions of cells (observational and perturbational)
Access: open
Consent and reuse: Harmonised public datasets; per-dataset licences apply.
All datasets and the models trained on them →Similar pages
- CollectionTahoe-100M
Shares Arc Institute, Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tags data, virtual-cell.
- TechnologyState (Arc Institute perturbation model)
Shares Arc Institute, Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag virtual-cell.
- TechnologyGeneformer
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag virtual-cell.
- TechnologyscGPT
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag virtual-cell.
- CompanyVevo Therapeutics
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico and the tag virtual-cell.
- CollectionNCI Imaging Data Commons (IDC)
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
- TechnologyBoltz-1 / Boltz-2 (MIT, open)
Shares Virtual cell roadmap: from bulk omics to a predictive model of a cancer cell, Drug discovery roadmap: screening in mice → maps of dependency → designing in silico, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow.
- CollectionPathology AI benchmarks (CAMELYON, PANDA, TCGA slide tasks)
Shares AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag data.
Open-source projects
All open source in oncology →Open-source projects that are the code behind this collection or publish it, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
Arc's virtual cell model that predicts how cells respond to perturbations, trained with the Virtual Cell Atlas.