nature.com

Borzoi decodes the complex DNA signals governing gene regulation

Borzoi is a deep learning model that predicts RNA sequencing coverage across each exon of every human gene, across different cells and tissues, based on DNA sequence alone.

Access through your institution

Buy or subscribe

This is a preview of subscription content, access via your institution

Access options

Access through your institution

Access Nature and 54 other Nature Portfolio journals

Get Nature+, our best-value online-access subscription

$29.99 / 30 days

cancel any time

Learn more

Subscribe to this journal

Receive 12 print issues and online access

$209.00 per year

only $17.42 per issue

Learn more

Buy this article

Purchase on SpringerLink

Instant access to full article PDF

Buy now

Prices may be subject to local taxes which are calculated during checkout

Additional access options:

Log in

Learn about institutional subscriptions

Read our FAQs

Contact customer support

Fig. 1: Sourcing DNA sequences alone, Borzoi can predict transcript content and expression levels across tissues for every human gene.

References

Linder, J., Srivastava, D., Yuan, H., Agarwal, V. & Kelley, D. R. Nat. Genet.https://doi.org/10.1038/s41588-024-02053-6 (2025).

ArticlePubMedGoogle Scholar

Avsec, Z. et al. Nat. Methods 18, 1196–1203 (2021).

ArticleCASPubMedPubMed CentralGoogle Scholar

Wilks, C. et al. Genome Biol. 22, 323 (2021).

ArticleCASPubMedPubMed CentralGoogle Scholar

Dawes, R. et al. Nat. Genet. 55, 324–332 (2023).

ArticleCASPubMedPubMed CentralGoogle Scholar

Download references

Acknowledgements

S.T.C. is supported by a National Health Medical Research Council (NHMRC) of Australia Investigator Grant Level L3 (APP2017952, 2023-2027) and NHMRC Medical Research Future Fund Genomics Health Futures Mission grant entitled ‘RNA for Rare Disease’ (MRF2015930, 2022-2025). S.T.C. receives additional research funding from Lenity Australia, a not-for-profit philanthropic organization, and the Children’s Medical Research Institute’s Genes for Genes Foundation, a registered charity. S.T.C. in her role as scientific director of Kids Neuroscience Centre (KNC) receives support for KNC Research Operations from the Sydney Children’s Hospitals Foundation, a registered charity.

Author information

Authors and Affiliations

The Children’s Medical Research Institute, Sydney, New South Wales, Australia

Sandra T. Cooper

Kids Neuroscience Centre, Kids Research, The Children’s Hospital at Westmead, Sydney, New South Wales, Australia

Sandra T. Cooper

School of Medical Sciences, Faculty of Medicine, University of Sydney, Sydney, New South Wales, Australia

Sandra T. Cooper

Authors

Sandra T. Cooper

View author publications

You can also search for this author inPubMedGoogle Scholar

Corresponding author

Correspondence to Sandra T. Cooper.

Ethics declarations

Competing interests

S.T.C. is a volunteer member of ClinGen Expert Panels: Muscular Dystrophies and Myopathies GCEP and Limb Girdle Muscular Dystrophy VCEP. S.T.C. is named inventor of intellectual property (IP) relating to novel methods to identify splicing variants: 1) WO2020097660A1, inventors S. Cooper and H. Joshi; 2) WO2020/181333, inventor S. Cooper. This IP is owned jointly by The University of Sydney and Sydney Children’s Hospitals Network. S.T.C. is director of Frontier Genomics Pty Australia, which has licensed this IP. S.T.C. currently receives no remuneration for this director role.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cooper, S.T. Borzoi decodes the complex DNA signals governing gene regulation. Nat Genet (2025). https://doi.org/10.1038/s41588-025-02154-w

Download citation

Published:01 April 2025

DOI:https://doi.org/10.1038/s41588-025-02154-w

Share this article

Anyone you share the following link with will be able to read this content:

Get shareable link

Sorry, a shareable link is not currently available for this article.

Copy to clipboard

Provided by the Springer Nature SharedIt content-sharing initiative

Read full news in source page