Cloud Computing for Comparative Genomics with Windows Azure Platform

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Cloud Computing for Comparative Genomics with Windows Azure Platform

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Title: Cloud Computing for Comparative Genomics with Windows Azure Platform
Author: Kim, Insik; Jung, Jae-Yoon; DeLuca, Todd; Nelson, Tristan; Wall, Dennis Paul Paul

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Citation: Kim, Insik, Jae-Yoon Jung, Todd F. DeLuca, Tristan H. Nelson, and Dennis P. Wall. 2012. Cloud computing for comparative genomics with Windows Azure platform. Evolutionary Bioinformatics Online 8: 527-534.
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Abstract: 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.
Published Version: doi:10.4137/EBO.S9946
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3433929/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10524360
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