Cloud Computing for Comparative Genomics with Windows Azure Platform

Cloud computing services have emerged as a cost-effective alternative for cluster systems as the number of genomes and required computation power to analyze them increased in recent years. Here we introduce the Microsoft Azure platform with detailed execution steps and a cost comparison with Amazon...

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Detalles Bibliográficos
Autores principales: Kim, Insik, Jung, Jae-Yoon, DeLuca, Todd F., Nelson, Tristan H., Wall, Dennis P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2012
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3433929/
https://www.ncbi.nlm.nih.gov/pubmed/23032609
http://dx.doi.org/10.4137/EBO.S9946
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author Kim, Insik
Jung, Jae-Yoon
DeLuca, Todd F.
Nelson, Tristan H.
Wall, Dennis P.
author_facet Kim, Insik
Jung, Jae-Yoon
DeLuca, Todd F.
Nelson, Tristan H.
Wall, Dennis P.
author_sort Kim, Insik
collection PubMed
description Cloud computing services have emerged as a cost-effective alternative for cluster systems as the number of genomes and required computation power to analyze them increased in recent years. Here we introduce the Microsoft Azure platform with detailed execution steps and a cost comparison with Amazon Web Services.
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spelling pubmed-34339292012-10-02 Cloud Computing for Comparative Genomics with Windows Azure Platform Kim, Insik Jung, Jae-Yoon DeLuca, Todd F. Nelson, Tristan H. Wall, Dennis P. Evol Bioinform Online Technical Advance Cloud computing services have emerged as a cost-effective alternative for cluster systems as the number of genomes and required computation power to analyze them increased in recent years. Here we introduce the Microsoft Azure platform with detailed execution steps and a cost comparison with Amazon Web Services. Libertas Academica 2012-08-30 /pmc/articles/PMC3433929/ /pubmed/23032609 http://dx.doi.org/10.4137/EBO.S9946 Text en © the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.
spellingShingle Technical Advance
Kim, Insik
Jung, Jae-Yoon
DeLuca, Todd F.
Nelson, Tristan H.
Wall, Dennis P.
Cloud Computing for Comparative Genomics with Windows Azure Platform
title Cloud Computing for Comparative Genomics with Windows Azure Platform
title_full Cloud Computing for Comparative Genomics with Windows Azure Platform
title_fullStr Cloud Computing for Comparative Genomics with Windows Azure Platform
title_full_unstemmed Cloud Computing for Comparative Genomics with Windows Azure Platform
title_short Cloud Computing for Comparative Genomics with Windows Azure Platform
title_sort cloud computing for comparative genomics with windows azure platform
topic Technical Advance
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3433929/
https://www.ncbi.nlm.nih.gov/pubmed/23032609
http://dx.doi.org/10.4137/EBO.S9946
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