Translational Biomedical Informatics in the Cloud: Present and Future

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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Main Authors: Jiajia Chen, Fuliang Qian, Wenying Yan, Bairong Shen
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2013/658925
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spelling doaj-f3c16b9015d54a73abc2f58d140aa2f32020-11-24T20:58:47ZengHindawi LimitedBioMed Research International2314-61332314-61412013-01-01201310.1155/2013/658925658925Translational Biomedical Informatics in the Cloud: Present and FutureJiajia Chen0Fuliang Qian1Wenying Yan2Bairong Shen3Center for Systems Biology, Soochow University, Suzhou 215006, ChinaCenter for Systems Biology, Soochow University, Suzhou 215006, ChinaCenter for Systems Biology, Soochow University, Suzhou 215006, ChinaCenter for Systems Biology, Soochow University, Suzhou 215006, ChinaNext 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.http://dx.doi.org/10.1155/2013/658925
collection DOAJ
language English
format Article
sources DOAJ
author Jiajia Chen
Fuliang Qian
Wenying Yan
Bairong Shen
spellingShingle Jiajia Chen
Fuliang Qian
Wenying Yan
Bairong Shen
Translational Biomedical Informatics in the Cloud: Present and Future
BioMed Research International
author_facet Jiajia Chen
Fuliang Qian
Wenying Yan
Bairong Shen
author_sort Jiajia Chen
title Translational Biomedical Informatics in the Cloud: Present and Future
title_short 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_sort translational biomedical informatics in the cloud: present and future
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2013-01-01
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.
url http://dx.doi.org/10.1155/2013/658925
work_keys_str_mv AT jiajiachen translationalbiomedicalinformaticsinthecloudpresentandfuture
AT fuliangqian translationalbiomedicalinformaticsinthecloudpresentandfuture
AT wenyingyan translationalbiomedicalinformaticsinthecloudpresentandfuture
AT bairongshen translationalbiomedicalinformaticsinthecloudpresentandfuture
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