Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1782264709935792128 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3613081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chenjiajia translationalbiomedicalinformaticsinthecloudpresentandfuture AT qianfuliang translationalbiomedicalinformaticsinthecloudpresentandfuture AT yanwenying translationalbiomedicalinformaticsinthecloudpresentandfuture AT shenbairong translationalbiomedicalinformaticsinthecloudpresentandfuture |