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Biomedical Cloud Computing With Amazon Web Services

  • Vincent A. Fusaro mail,

    vfusaro@hms.harvard.edu

    Affiliation: Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America

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  • Prasad Patil,

    Affiliation: Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America

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  • Erik Gafni,

    Affiliation: Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America

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  • Dennis P. Wall,

    Affiliations: Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America

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  • Peter J. Tonellato

    Affiliations: Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America

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  • Published: August 25, 2011
  • DOI: 10.1371/journal.pcbi.1002147
  • Featured in PLOS Collections

Reader Comments (1)

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Good intro but missing other key works

Posted by afgane on 09 Sep 2011 at 12:47 GMT

The paper describes very nicely the whole process of how to acquire AWS instances and process the data but, at the very least, omits mention of CloudMan and Galaxy. These two tools make all of the described features (and many more) doable within a web browser, making the described process much more accessible and versatile. The paper acts as a good overview for someone wanting to get into developing custom cloud appliances but there are easier methods of simply using cloud services.

Competing interests declared: I am one of the authors of CloudMan.