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BioMed Research International
Volume 2013 (2013), Article ID 658925, 8 pages
http://dx.doi.org/10.1155/2013/658925
Review Article

Translational Biomedical Informatics in the Cloud: Present and Future

1Center for Systems Biology, Soochow University, Suzhou 215006, China
2School of Chemistry and Biological Engineering, Suzhou University of Science and Technology, Suzhou 215011, China

Received 8 December 2012; Accepted 17 February 2013

Academic Editor: Ming Ouyang

Copyright © 2013 Jiajia Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Next generation sequencing and other high-throughput experimental techniques of recent decades have driven the exponential growth in publicly available molecular and clinical data. This information explosion has prepared the ground for the development of translational bioinformatics. The scale and dimensionality of data, however, pose obvious challenges in data mining, storage, and integration. In this paper we demonstrated the utility and promise of cloud computing for tackling the big data problems. We also outline our vision that cloud computing could be an enabling tool to facilitate translational bioinformatics research.