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Bioinformatics on the Cloud Computing Platform Azure

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  • Hugh P Shanahan
  • Anne M Owen
  • Andrew P Harrison

Abstract

We discuss the applicability of the Microsoft cloud computing platform, Azure, for bioinformatics. We focus on the usability of the resource rather than its performance. We provide an example of how R can be used on Azure to analyse a large amount of microarray expression data deposited at the public database ArrayExpress. We provide a walk through to demonstrate explicitly how Azure can be used to perform these analyses in Appendix S1 and we offer a comparison with a local computation. We note that the use of the Platform as a Service (PaaS) offering of Azure can represent a steep learning curve for bioinformatics developers who will usually have a Linux and scripting language background. On the other hand, the presence of an additional set of libraries makes it easier to deploy software in a parallel (scalable) fashion and explicitly manage such a production run with only a few hundred lines of code, most of which can be incorporated from a template. We propose that this environment is best suited for running stable bioinformatics software by users not involved with its development.

Suggested Citation

  • Hugh P Shanahan & Anne M Owen & Andrew P Harrison, 2014. "Bioinformatics on the Cloud Computing Platform Azure," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-9, July.
    • Handle: RePEc:plo:pone00:0102642
    DOI: 10.1371/journal.pone.0102642
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    Cited by:

    1. Shafi’i Muhammad Abdulhamid & Muhammad Shafie Abd Latiff & Gaddafi Abdul-Salaam & Syed Hamid Hussain Madni, 2016. "Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-18, July.
    2. Hancui Zhang & Shuyu Chen & Jun Liu & Zhen Zhou & Tianshu Wu, 2017. "An incremental anomaly detection model for virtual machines," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-23, November.

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