Skip to main content

Thank you for visiting 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.

Genotyping tumor clones from single-cell data

A new statistical approach mitigates technical errors in single-cell DNA sequencing data to advance the study of tumor evolution and diversity.

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

Relevant articles

Open Access articles citing this article.

Access options

Rent or buy this article

Get just this article for as long as you need it


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

Figure 1: Technical errors can lead to incorrect results for clonal genotypes and lineages.


  1. Navin, N.E. Genome Res. 25, 1499–1507 (2015).

    Article  CAS  Google Scholar 

  2. Zafar, H., Wang, Y., Nakhleh, L., Navin, N. & Chen, K. Nat. Methods 13, 505–507 (2016).

    Article  CAS  Google Scholar 

  3. Jahn, K., Kuipers, J. & Beerenwinkel, N. Genome Biol. 17, 86 (2016).

    Article  Google Scholar 

  4. Ross, E.M. & Markowetz, F. Genome Biol. 17, 69 (2016).

    Article  CAS  Google Scholar 

  5. Roth, A. et al. Nat. Methods 13, 573–576 (2016).

    Article  CAS  Google Scholar 

  6. Gawad, C., Koh, W. & Quake, S.R. Nat. Rev. Genet. 17, 175–188 (2016).

    Article  CAS  Google Scholar 

  7. Gawad, C., Koh, W. & Quake, S.R. Proc. Natl. Acad. Sci. USA 111, 17947–17952 (2014).

    Article  CAS  Google Scholar 

  8. Yuan, K., Sakoparnig, T., Markowetz, F. & Beerenwinkel, N. Genome Biol. 16, 36 (2015).

    Article  Google Scholar 

  9. McPherson, A. et al. Nat. Genet. (2016).

  10. Navin, N.E. Genome Biol. 15, 452 (2014).

    Article  Google Scholar 

Download references


This work was supported by the Eric & Liz Lefkofsky Family Foundation, NCI (1R01CA169244-01 to N.E.N., R01CA172652 to K.C.) and the American Cancer Society (129098-RSG-16-092-01-TBG to N.E.N.). N.E.N. and K.C. are Andrew Sabin Family Fellows. The study was supported by the MD Anderson Cancer Moonshot Knowledge Gap Award and the Center for Genetics & Genomics.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Nicholas E Navin.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Navin, N., Chen, K. Genotyping tumor clones from single-cell data. Nat Methods 13, 555–556 (2016).

Download citation

  • Published:

  • Issue Date:

  • DOI:

This article is cited by


Quick links

Nature Briefing: Cancer

Sign up for the Nature Briefing: Cancer newsletter — what matters in cancer research, free to your inbox weekly.

Get what matters in cancer research, free to your inbox weekly. Sign up for Nature Briefing: Cancer