• Lin Dai, Xin Gao, Yan Guo, Jingfa Xiao, and Zhang Zhang.
• 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.
• Biol Direct. 2012 Nov 28; 7: 43; discussion 43.

UnlabelledAs 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.ReviewersThis article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor.

9 keywords...

hide…