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:

3D GENOMICS

Benchmarking experiments with polymer modeling

Nature Methods volume 18, pages 456–457 (2021)Cite this article

Subjects

A study applies polymer physics to assess the advantages and limitations of three sequencing-based approaches for determining the structure of genomes and genomic domains.

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

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

  • Purchase on Springer Link
  • Instant access to full article PDF
Buy now

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

Fig. 1: Computational modeling bypasses the difficulties for benchmarking and assessing the performances of Hi-C, SPRITE and GAM for determining the structure of genomes and genomic domains.

References

  1. Fiorillo, L. et al. Nat. Methods https://doi.org/10.1038/s41592-021-01135-1 (2021).

    Article  Google Scholar 

  2. Lieberman-Aiden, E. et al. Science 326, 289–293 (2009).

    Article  CAS  Google Scholar 

  3. Quinodoz, S. A. et al. Cell 174, 744–757.e724 (2018).

    Article  CAS  Google Scholar 

  4. Beagrie, R. A. et al. Nature 543, 519–524 (2017).

    Article  CAS  Google Scholar 

  5. Misteli, T. Cell 183, 28–45 (2020).

    Article  CAS  Google Scholar 

  6. Dekker, J., Rippe, K., Dekker, M. & Kleckner, N. Science 295, 1306–1311 (2002).

    Article  CAS  Google Scholar 

  7. Dekker, J., Marti-Renom, M. A. & Mirny, L. A. Nat. Rev. Genet. 14, 390–403 (2013).

    Article  CAS  Google Scholar 

  8. Di Stefano, M., Paulsen, J., Jost, D. & Marti-Renom, M. A. Curr. Opin. Genet. Dev. 67, 25–32 (2020).

    Article  Google Scholar 

  9. Barbieri, M. et al. Proc. Natl Acad. Sci. USA 109, 16173–16178 (2012).

    Article  CAS  Google Scholar 

  10. Bintu, B. et al. Science https://doi.org/10.1126/science.aau1783 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain

    Marc A. Marti-Renom

  2. Centre for Genomic Regulation (CRG, Barcelona Institute of Science and Technology BIST, Barcelona, Spain

    Marc A. Marti-Renom

  3. Universitat Pompeu Fabra (UPF), Barcelona, Spain

    Marc A. Marti-Renom

  4. ICREA, Barcelona, Spain

    Marc A. Marti-Renom

Authors
  1. Marc A. Marti-Renom
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marc A. Marti-Renom.

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

Marti-Renom, M.A. Benchmarking experiments with polymer modeling. Nat Methods 18, 456–457 (2021). https://doi.org/10.1038/s41592-021-01134-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41592-021-01134-2

This article is cited by

Search

Advanced 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