Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Research Briefing
  • Published:

Improving somatic variant calling with long-read technologies and public datasets

Challenges in somatic variant calling include a lack of long-read variant callers and of publicly available benchmarking datasets. We developed DeepSomatic, a somatic variant caller for short- and long-read technologies, and created seven somatic variant benchmarks derived from cancer cell lines, which we make available as a public database: CASTLE-panel.

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

Access options

Buy this article

USD 39.95

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

Fig. 1: DeepSomatic overview and application to tumor–normal samples.

References

  1. Fang, L. T. et al. Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing. Nat. Biotechnol. 39, 1151–1160 (2021). This paper presents a somatic variant benchmark for a breast cancer cell line.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Logsdon, G. A., Vollger, M. R. & Eichler, E. E. Long‑read human genome sequencing and its applications. Nat. Rev. Genet. 21, 597–614 (2020). A review article on long-read sequencing methods.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Poplin, R. et al. A universal SNP and small‑indel variant caller using deep neural networks. Nat. Biotechnol. 36, 983–987 (2018). This paper presents DeepVariant, a deep neural network-based germline variant caller.

    Article  CAS  PubMed  Google Scholar 

  4. Keskus, A. G. et al. Severus detects somatic structural variation and complex rearrangements in cancer genomes using long-read sequencing. Nat. Biotechnol. https://doi.org/10.1038/s41587-025-02618-8 (2025). This paper presents Severus, a long-read-based structural variant caller.

Download references

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This is a summary of: Park, J. et al. Accurate somatic small variant discovery for multiple sequencing technologies with DeepSomatic. Nat. Biotechnol. https://doi.org/10.1038/s41587-025-02839-x (2025).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Improving somatic variant calling with long-read technologies and public datasets. Nat Biotechnol (2025). https://doi.org/10.1038/s41587-025-02860-0

Download citation

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s41587-025-02860-0

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing