Journal
BIOLOGY DIRECT
Volume 7, Issue -, Pages -Publisher
BMC
DOI: 10.1186/1745-6150-7-43
Keywords
Cloud computing; Bioinformatics; Big data; Data storage; Data analysis
Categories
Funding
- King Abdullah University of Science and Technology
- National Natural Science Foundation of China [60803050, 61132009]
- Chinese Academy of Sciences [Y1SLXb1365]
- National Basic Research Program (973 Program) [2010CB126604]
- National Programs for High Technology Research and Development (863 Program) [2012AA020409]
- Ministry of Science and Technology of the People's Republic of China
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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.
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