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Translational bioinformatics in the cloud: an affordable alternative

With the continued exponential expansion of publicly available genomic data and access to low-cost, high-throughput molecular technologies for profiling patient populations, computational technologies and informatics are becoming vital considerations in genomic medicine. Although cloud computing tec...

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Detalles Bibliográficos
Autores principales: Dudley, Joel T, Pouliot, Yannick, Chen, Rong, Morgan, Alexander A, Butte, Atul J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945008/
https://www.ncbi.nlm.nih.gov/pubmed/20691073
http://dx.doi.org/10.1186/gm172
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author Dudley, Joel T
Pouliot, Yannick
Chen, Rong
Morgan, Alexander A
Butte, Atul J
author_facet Dudley, Joel T
Pouliot, Yannick
Chen, Rong
Morgan, Alexander A
Butte, Atul J
author_sort Dudley, Joel T
collection PubMed
description With the continued exponential expansion of publicly available genomic data and access to low-cost, high-throughput molecular technologies for profiling patient populations, computational technologies and informatics are becoming vital considerations in genomic medicine. Although cloud computing technology is being heralded as a key enabling technology for the future of genomic research, available case studies are limited to applications in the domain of high-throughput sequence data analysis. The goal of this study was to evaluate the computational and economic characteristics of cloud computing in performing a large-scale data integration and analysis representative of research problems in genomic medicine. We find that the cloud-based analysis compares favorably in both performance and cost in comparison to a local computational cluster, suggesting that cloud computing technologies might be a viable resource for facilitating large-scale translational research in genomic medicine.
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spelling pubmed-29450082010-09-25 Translational bioinformatics in the cloud: an affordable alternative Dudley, Joel T Pouliot, Yannick Chen, Rong Morgan, Alexander A Butte, Atul J Genome Med Correspondence With the continued exponential expansion of publicly available genomic data and access to low-cost, high-throughput molecular technologies for profiling patient populations, computational technologies and informatics are becoming vital considerations in genomic medicine. Although cloud computing technology is being heralded as a key enabling technology for the future of genomic research, available case studies are limited to applications in the domain of high-throughput sequence data analysis. The goal of this study was to evaluate the computational and economic characteristics of cloud computing in performing a large-scale data integration and analysis representative of research problems in genomic medicine. We find that the cloud-based analysis compares favorably in both performance and cost in comparison to a local computational cluster, suggesting that cloud computing technologies might be a viable resource for facilitating large-scale translational research in genomic medicine. BioMed Central 2010-08-06 /pmc/articles/PMC2945008/ /pubmed/20691073 http://dx.doi.org/10.1186/gm172 Text en Copyright ©2010 Dudley et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
spellingShingle Correspondence
Dudley, Joel T
Pouliot, Yannick
Chen, Rong
Morgan, Alexander A
Butte, Atul J
Translational bioinformatics in the cloud: an affordable alternative
title Translational bioinformatics in the cloud: an affordable alternative
title_full Translational bioinformatics in the cloud: an affordable alternative
title_fullStr Translational bioinformatics in the cloud: an affordable alternative
title_full_unstemmed Translational bioinformatics in the cloud: an affordable alternative
title_short Translational bioinformatics in the cloud: an affordable alternative
title_sort translational bioinformatics in the cloud: an affordable alternative
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2945008/
https://www.ncbi.nlm.nih.gov/pubmed/20691073
http://dx.doi.org/10.1186/gm172
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