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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...

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Detalles Bibliográficos
Autores principales: Dai, Lin, Gao, Xin, Guo, Yan, Xiao, Jingfa, Zhang, Zhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
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.
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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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