Bio and health informatics meets cloud : BioVLab as an example
Identifieur interne : 000366 ( Main/Exploration ); précédent : 000365; suivant : 000367Bio and health informatics meets cloud : BioVLab as an example
Auteurs : Heejoon Chae ; Inuk Jung [Corée du Sud] ; Hyungro Lee ; Suresh Marru ; Seong-Whan Lee [Corée du Sud] ; Sun Kim [Corée du Sud]Source :
- Health Information Science and Systems [ 2047-2501 ] ; 2013.
Abstract
The exponential increase of genomic data brought by the advent of the next or the third generation sequencing (NGS) technologies and the dramatic drop in sequencing cost have driven biological and medical sciences to data-driven sciences. This revolutionary paradigm shift comes with challenges in terms of data transfer, storage, computation, and analysis of big bio/medical data. Cloud computing is a service model sharing a pool of configurable resources, which is a suitable workbench to address these challenges. From the medical or biological perspective, providing computing power and storage is the most attractive feature of cloud computing in handling the ever increasing biological data. As data increases in size, many research organizations start to experience the lack of computing power, which becomes a major hurdle in achieving research goals. In this paper, we review the features of publically available bio and health cloud systems in terms of graphical user interface, external data integration, security and extensibility of features. We then discuss about issues and limitations of current cloud systems and conclude with suggestion of a biological cloud environment concept, which can be defined as a total workbench environment assembling computational tools and databases for analyzing bio/medical big data in particular application domains.
Url:
DOI: 10.1186/2047-2501-1-6
PubMed: 25825658
PubMed Central: 4336112
Affiliations:
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This revolutionary paradigm shift comes with challenges in terms of data transfer, storage, computation, and analysis of big bio/medical data. Cloud computing is a service model sharing a pool of configurable resources, which is a suitable workbench to address these challenges. From the medical or biological perspective, providing computing power and storage is the most attractive feature of cloud computing in handling the ever increasing biological data. As data increases in size, many research organizations start to experience the lack of computing power, which becomes a major hurdle in achieving research goals. In this paper, we review the features of publically available bio and health cloud systems in terms of graphical user interface, external data integration, security and extensibility of features. We then discuss about issues and limitations of current cloud systems and conclude with suggestion of a biological cloud environment concept, which can be defined as a total workbench environment assembling computational tools and databases for analyzing bio/medical big data in particular application domains.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Kanz, C" uniqKey="Kanz C">C Kanz</name></author><author><name sortKey="Aldebert, P" uniqKey="Aldebert P">P Aldebert</name></author><author><name sortKey="Althorpe, N" uniqKey="Althorpe N">N Althorpe</name></author><author><name sortKey="Baker, W" uniqKey="Baker W">W Baker</name></author><author><name sortKey="Baldwin, A" uniqKey="Baldwin A">A Baldwin</name></author><author><name sortKey="Bates, K" uniqKey="Bates K">K Bates</name></author><author><name sortKey="Browne, P" uniqKey="Browne P">P Browne</name></author><author><name 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first="Seong-Whan" last="Lee">Seong-Whan Lee</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/CyberinfraV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000366 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000366 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= CyberinfraV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= PMC:4336112
|texte= Bio and health informatics meets cloud : BioVLab as an example
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:25825658" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a CyberinfraV1
| This area was generated with Dilib version V0.6.25. |  |