← Spatial omics

CORAL

CORAL is a spatial omics tool whose code is published by zou-group on GitHub, first public in 2026, described in Nature Genetics (2026). Graph-attention deep generative model that integrates spatial transcriptomics, proteomics, metabolomics and epigenomics across resolutions, deconvolving to single-cell profiles and inferring niches and cell-cell interactions.

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CategorySpatial omics
Developer (GitHub)zou-group
InputSpatial transcriptomics (MERFISH, seqFISH, Visium, Slide-seq), proteomics (CODEX, MIBI, IMC), metabolomics (MALDI, DESI), spatial ATAC
TaskCross-modal/cross-scale integration, deconvolution to single-cell resolution, spatial domains/niches, cell-cell interactions
InterfacePython package (PyTorch, PyTorch Geometric)
Websitecoral-omics.readthedocs.io/en/latest
GitHubzou-group/CORAL
Released2026-11-05 (source)
Paperhttps://doi.org/10.1038/s41588-026-02821-6 · Nature Genetics (2026)
Code licenseBSD-3-Clause
Weights licensecode BSD-3-Clause (no separate weights
What this allowsPermissive (commercial OK)
Use, modify and ship it inside closed-source commercial products; keep the license text and copyright notices. What do these mean?
License sourcegithub.com/zou-group/CORAL/blob/main/LICENSE · checked 2026-11-07
PricingOpen source
Tags#spatial-multiomics#integration#deconvolution#generative#cell-cell-interaction
Last checked · links verified

Can I use CORAL commercially?

Yes. The recorded license is permissive, so closed-source commercial use is allowed if you keep the notices.

What the license types mean · not legal advice.

Specs

Platforms supported—
Resolution—
TasksCross-modal/cross-scale integration, deconvolution to single-cell resolution, spatial domains/niches, cell-cell interactions
GitHub stars16
InterfacePython package (PyTorch, PyTorch Geometric)

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