Bioinformatics clouds for big data manipulation

Biol Direct. 2012 Nov 28;7:43; discussion 43. doi: 10.1186/1745-6150-7-43.


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.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Access to Information
  • Computational Biology / methods*
  • Data Collection
  • Information Storage and Retrieval / classification
  • Information Storage and Retrieval / methods*
  • Internet*
  • Software
  • User-Computer Interface