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

Bioinformatics clouds for big data manipulation.

Author information

1
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.

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.

PMID:
23190475
PMCID:
PMC3533974
DOI:
10.1186/1745-6150-7-43
[Indexed for MEDLINE]
Free PMC Article

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