Bioinformatics clouds for big data manipulation
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
2 School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China
3 Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
4 Cloud Development and Cloud Solution Integration, IBM China Systems & Technology Lab, IBM Co. Ltd, Beijing, 100193, China
Biology Direct 2012, 7:43 doi:10.1186/1745-6150-7-43Published: 28 November 2012
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.
This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor.