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.

  • News & Views
  • Published:

Computational biology

Facilitating genome structural variation analysis

Although structural variation is less explored than single-nucleotide variation, recent studies have shown it to be associated with several human diseases. Three fresh computational methods might help to elucidate this inadequately understood part of our genetic makeup.

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

Access options

Buy this article

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

Fig. 1: Simple SV.

References

  1. Denti, L. et al. Nat. Methods https://doi.org/10.1038/s41592-022-01674-1 (2022).

  2. Popic, V. et al. Nat. Methods https://doi.org/10.1038/s41592-023-01799-x (2023).

  3. Lin, J. et al. Nat. Methods 19, 1230–1233 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Mahmoud, M. et al. Genome Biol. 20, 246 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Haas, J. et al. EMBO Mol. Med. 10, 107–120 (2018).

    Article  CAS  PubMed  Google Scholar 

  6. Sherman, M. A. et al. Nat. Neurosci. 24, 197–203 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Halvorsen, M. et al. Nat. Commun. 11, 1842 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Li, Y. et al. Nature 578, 112–121 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Ho, S. S., Urban, A. E. & Mills, R. E. Nat. Rev. Genet. 21, 171–189 (2020).

    Article  CAS  PubMed  Google Scholar 

  10. Wang, T. et al. Nature 604, 437–446 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

This article has been supported in part by the Croatian Science Foundation under the project Single genome and metagenome assembly (IP-2018-01-5886) and the Genome Institute of Singapore, A*STAR core funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mile Sikic.

Ethics declarations

Competing interests

The author declares no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sikic, M. Facilitating genome structural variation analysis. Nat Methods 20, 491–492 (2023). https://doi.org/10.1038/s41592-023-01767-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41592-023-01767-5

Search

Quick links

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research