%0 Journal Article
%T Bioinformatics clouds for big data manipulation
%A Dai Lin
%A Gao Xin
%A Guo Yan
%A Xiao Jingfa
%J Biology Direct
%D 2012
%I BioMed Central
%R 10.1186/1745-6150-7-43
%X 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.
%K Cloud computing
%K Bioinformatics
%K Big data
%K Data storage
%K Data analysis
%U http://www.biology-direct.com/content/7/1/43