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Computational biology

Facilitating genome structural variation analysis

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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.

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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 

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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.

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Correspondence to Mile Sikic.

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

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