Cloud Computing for Comparative Genomics with Windows Azure Platform

Insik Kim; Jae-Yoon Jung; Todd F. DeLuca; Tristan H. Nelson; Dennis P. Wall

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Evolutionary Bioinformatics

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Cloud Computing for Comparative Genomics with Windows Azure Platform

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Authors: Insik Kim, Jae-Yoon Jung, Todd F. DeLuca, Tristan H. Nelson and Dennis P. Wall

Publication Date: 30 Aug 2012

Type: Technical Advance

Journal: Evolutionary Bioinformatics

Citation: Evolutionary Bioinformatics 2012:8 527-534

doi: 10.4137/EBO.S9946

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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.

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