Translational biomedical informatics in the cloud: present and future.
Next generation sequencing and other high-throughput experimental techniques of recent decades have driven the exponential growth in publicly available molecular and clinical data. This information explosion has prepared the ground for the development of translational bioinformatics. The scale and d...
| Publicado en: | BioMed Research International Vol. 2013; pp. 658925 - 658926 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104287277&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104287277 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2013 vid: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 104287277 2012116870 NLM23586054 PMC3613081 104287277 ppf: 658925 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Translational biomedical informatics in the cloud: present and future. aug: au: Chen, Jiajia Qian, Fuliang Yan, Wenying Shen, Bairong affil: Center for Systems Biology, Soochow University, Suzhou 215006, China ; School of Chemistry and Biological Engineering, Suzhou University of Science and Technology, Suzhou 215011, China. sug: subj: Research, Medical Information Retrieval Software Animals Bioinformatics Sequence Analysis Internet Medical Informatics ab: Next generation sequencing and other high-throughput experimental techniques of recent decades have driven the exponential growth in publicly available molecular and clinical data. This information explosion has prepared the ground for the development of translational bioinformatics. The scale and dimensionality of data, however, pose obvious challenges in data mining, storage, and integration. In this paper we demonstrated the utility and promise of cloud computing for tackling the big data problems. We also outline our vision that cloud computing could be an enabling tool to facilitate translational bioinformatics research. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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