Center for Systems Biology, Soochow University, Suzhou 215006, China.
Biomed Res Int. 2013;2013:658925. doi: 10.1155/2013/658925. Epub 2013 Mar 17.
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.
近几十年来,下一代测序和其他高通量实验技术推动了公开可用的分子和临床数据呈指数级增长。这种信息爆炸为转化生物信息学的发展奠定了基础。然而,数据的规模和维度给数据挖掘、存储和整合带来了明显的挑战。在本文中,我们展示了云计算在解决大数据问题方面的实用性和潜力。我们还概述了我们的愿景,即云计算可以成为促进转化生物信息学研究的使能工具。