Bioinformatics clouds for big data manipulation

Biology Direct

Lin Dai²  Xin Gao¹  Yan Guo⁴  Jingfa Xiao³  Zhang Zhang³ 

[1] Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia

[2] School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China

[3] CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, No.7 Beitucheng West Road, Building G, Chaoyang District, Beijing, 100029, China

[4] Cloud Development and Cloud Solution Integration, IBM China Systems & Technology Lab, IBM Co. Ltd, Beijing, 100193, China

关键词: Data analysis;    Data storage;    Big data;    Bioinformatics;    Cloud computing;   

Others  :  795261
DOI  :  10.1186/1745-6150-7-43

 received in 2012-09-19, accepted in 2012-11-26,  发布年份 2012

【 摘 要 】

As advances in life sciences and information technology bring profound influences on bioinformatics due to its interdisciplinary nature, bioinformatics is experiencing a new leap-forward from in-house computing infrastructure into utility-supplied cloud computing delivered over the Internet, in order to handle the vast quantities of biological data generated by high-throughput experimental technologies. Albeit relatively new, cloud computing promises to address big data storage and analysis issues in the bioinformatics field. Here we review extant cloud-based services in bioinformatics, classify them into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS), and present our perspectives on the adoption of cloud computing in bioinformatics.

【 授权许可】

   
2012 Dai et al.; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

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