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- W1991462891 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.This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor." @default.
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- W1991462891 date "2012-11-28" @default.
- W1991462891 modified "2023-10-10" @default.
- W1991462891 title "Bioinformatics clouds for big data manipulation" @default.
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- W1991462891 doi "https://doi.org/10.1186/1745-6150-7-43" @default.
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