Translational Biomedical Informatics in the Cloud: Present and Future

被引：120

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

来源：

BIOMED RESEARCH INTERNATIONAL | 2013年 / 2013卷

基金：

高等学校博士学科点专项科研基金; 国家高技术研究发展计划(863计划); 中国国家自然科学基金;

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 [微生物学]; 090105 [作物生产系统与生态工程];

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.

引用

页数：8

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[2]

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