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Review
. 2012 Nov 28:7:43; discussion 43.
doi: 10.1186/1745-6150-7-43.

Bioinformatics clouds for big data manipulation

Lin Dai  1 , Xin Gao, Yan Guo, Jingfa Xiao, Zhang Zhang
Affiliations
Review

Bioinformatics clouds for big data manipulation

Lin Dai et al. Biol Direct. .

Abstract

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.

Reviewers: This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor.

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Figures

Figure 1
Figure 1
Illustration of bioinformatics cloud. Cloud-based services in bioinformatics are grouped into Data as a Service (DaaS), Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
See this image and copyright information in PMC

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