News Feature | Published:

The CAVE artists

Nature Medicine volume 20, pages 228230 (2014) | Download Citation

In the era of big data, biomedical databases are brimming with protein structures, image collections and genomic sequences. As the data mount, new 'cave automatic virtual environments', or CAVEs, are being built to help researchers pick through the files. Dyani Lewis meets the pioneers behind these large-scale visualization labs to see whether immersive virtual worlds can cut through the complexity.

Access optionsAccess options

Rent or Buy article

Get time limited or full article access on ReadCube.


All prices are NET prices.


  1. 1.

    et al. Nat. Neurosci. 11, 780–789 (2008).

  2. 2.

    , & Dev. Dyn. 236, 1963–1969 (2007).

  3. 3.

    et al. Cancer Prev. Res. 1, 100–111 (2008).

  4. 4.

    et al. Science 342, 1235587 (2013).

Download references

Author information


  1. Dyani Lewis is a freelance science journalist based in Melbourne, Australia.

    • Dyani Lewis


  1. Search for Dyani Lewis in:

About this article

Publication history



Newsletter Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing