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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...

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Detalles Bibliográficos
Autores principales: Chen, Jiajia, Qian, Fuliang, Yan, Wenying, Shen, Bairong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613081/
https://www.ncbi.nlm.nih.gov/pubmed/23586054
http://dx.doi.org/10.1155/2013/658925
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author Chen, Jiajia
Qian, Fuliang
Yan, Wenying
Shen, Bairong
author_facet Chen, Jiajia
Qian, Fuliang
Yan, Wenying
Shen, Bairong
author_sort Chen, Jiajia
collection PubMed
description 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.
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spelling pubmed-36130812013-04-12 Translational Biomedical Informatics in the Cloud: Present and Future Chen, Jiajia Qian, Fuliang Yan, Wenying Shen, Bairong Biomed Res Int Review Article 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. Hindawi Publishing Corporation 2013 2013-03-17 /pmc/articles/PMC3613081/ /pubmed/23586054 http://dx.doi.org/10.1155/2013/658925 Text en Copyright © 2013 Jiajia Chen et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Chen, Jiajia
Qian, Fuliang
Yan, Wenying
Shen, Bairong
Translational Biomedical Informatics in the Cloud: Present and Future
title Translational Biomedical Informatics in the Cloud: Present and Future
title_full Translational Biomedical Informatics in the Cloud: Present and Future
title_fullStr Translational Biomedical Informatics in the Cloud: Present and Future
title_full_unstemmed Translational Biomedical Informatics in the Cloud: Present and Future
title_short Translational Biomedical Informatics in the Cloud: Present and Future
title_sort translational biomedical informatics in the cloud: present and future
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3613081/
https://www.ncbi.nlm.nih.gov/pubmed/23586054
http://dx.doi.org/10.1155/2013/658925
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