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Bioinformatics clouds for big data manipulation
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 Interne...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3533974/ https://www.ncbi.nlm.nih.gov/pubmed/23190475 http://dx.doi.org/10.1186/1745-6150-7-43 |
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author | Dai, Lin Gao, Xin Guo, Yan Xiao, Jingfa Zhang, Zhang |
author_facet | Dai, Lin Gao, Xin Guo, Yan Xiao, Jingfa Zhang, Zhang |
author_sort | Dai, Lin |
collection | PubMed |
description | 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. REVIEWERS: This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor. |
format | Online Article Text |
id | pubmed-3533974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35339742013-01-07 Bioinformatics clouds for big data manipulation Dai, Lin Gao, Xin Guo, Yan Xiao, Jingfa Zhang, Zhang Biol Direct Review 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. REVIEWERS: This article was reviewed by Frank Eisenhaber, Igor Zhulin, and Sandor Pongor. BioMed Central 2012-11-28 /pmc/articles/PMC3533974/ /pubmed/23190475 http://dx.doi.org/10.1186/1745-6150-7-43 Text en Copyright ©2012 Dai et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Dai, Lin Gao, Xin Guo, Yan Xiao, Jingfa Zhang, Zhang Bioinformatics clouds for big data manipulation |
title | Bioinformatics clouds for big data manipulation |
title_full | Bioinformatics clouds for big data manipulation |
title_fullStr | Bioinformatics clouds for big data manipulation |
title_full_unstemmed | Bioinformatics clouds for big data manipulation |
title_short | Bioinformatics clouds for big data manipulation |
title_sort | bioinformatics clouds for big data manipulation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3533974/ https://www.ncbi.nlm.nih.gov/pubmed/23190475 http://dx.doi.org/10.1186/1745-6150-7-43 |
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