Translational Biomedical Informatics in the Cloud: Present and Future

被引:118
作者
Chen, Jiajia [1 ,2 ]
Qian, Fuliang [1 ]
Yan, Wenying [1 ]
Shen, Bairong [1 ]
机构
[1] Soochow Univ, Ctr Syst Biol, Suzhou 215006, Peoples R China
[2] Suzhou Univ Sci & Technol, Sch Chem & Biol Engn, Suzhou 215011, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划); 高等学校博士学科点专项科研基金;
关键词
FUNCTIONAL ANNOTATION; VISUALIZATION; EXPRESSION; TOOL; SET; STANDARDS; MAPREDUCE; CODES;
D O I
10.1155/2013/658925
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
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页数:8
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