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.
This is a preview of subscription content, access via your institution
Subscribe to this journal
Receive 12 print issues and online access
$189.00 per year
only $15.75 per issue
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
Beuming, T. et al. Nat. Neurosci. 11, 780–789 (2008).
Kreiling, J.A. Prabhat, Williams, G. & Creton, R. Dev. Dyn. 236, 1963–1969 (2007).
Gümüş, Z.H. et al. Cancer Prev. Res. 1, 100–111 (2008).
Khurana, E. et al. Science 342, 1235587 (2013).
Rights and permissions
About this article
Cite this article
Lewis, D. The CAVE artists. Nat Med 20, 228–230 (2014). https://doi.org/10.1038/nm0314-228