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.

  • News & Views
  • Published:

Big data mining yields novel insights on cancer

Recent years have seen the rapid growth of large-scale biological data, but the effective mining and modeling of 'big data' for new biological discoveries remains a significant challenge. A new study reanalyzes expression profiles from the Gene Expression Omnibus to make novel discoveries about genes involved in DNA damage repair and genome instability in cancer.

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

Relevant articles

Open Access articles citing this article.

Access options

Buy this article

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

Figure 1: PCA of gene expression.


  1. Fehrmann, R.S. et al. Nat. Genet. 47, 115–125 (2015).

    Article  CAS  Google Scholar 

  2. McCall, M.N. et al. Nucleic Acids Res. 42, D938–D943 (2014).

    Article  CAS  Google Scholar 

  3. Rhodes, D.R. et al. Neoplasia 6, 1–6 (2004).

    Article  CAS  Google Scholar 

  4. Cerami, E. et al. Cancer Discov. 2, 401–404 (2012).

    Article  Google Scholar 

  5. Segal, E., Friedman, N., Koller, D. & Regev, A. Nat. Genet. 36, 1090–1098 (2004).

    Article  CAS  Google Scholar 

  6. Tomlins, S.A. et al. Science 310, 644–648 (2005).

    Article  CAS  Google Scholar 

  7. Wang, K. et al. Nat. Biotechnol. 27, 829–839 (2009).

    Article  CAS  Google Scholar 

  8. Carter, S.L., Eklund, A.C., Kohane, I.S., Harris, L.N. & Szallasi, Z. Nat. Genet. 38, 1043–1048 (2006).

    Article  CAS  Google Scholar 

  9. 1000 Genomes Project Consortium. Nature 491, 56–65 (2012).

  10. ENCODE Project Consortium. Nature 489, 57–74 (2012).

  11. Bernstein, B.E. et al. Nat. Biotechnol. 28, 1045–1048 (2010).

    Article  CAS  Google Scholar 

  12. Cancer Genome Atlas Research Network. Nat. Genet. 45, 1113–1120 (2013).

  13. Vaske, C.J. et al. Bioinformatics 26, i237–i245 (2010).

    Article  CAS  Google Scholar 

  14. Liu, T. et al. Genome Biol. 12, R83 (2011).

    Article  CAS  Google Scholar 

  15. Zhou, X. et al. Nat. Methods 8, 989–990 (2011).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to X Shirley Liu.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jiang, P., Liu, X. Big data mining yields novel insights on cancer. Nat Genet 47, 103–104 (2015).

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