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Wiley, Proteomics, 4-5(14), p. 367-377, 2013

DOI: 10.1002/pmic.201300288

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Distributed computing and data storage in proteomics: many hands make light work, and a stronger memory

Journal article published in 2013 by Kenneth Verheggen, Harald Barsnes, Lennart Martens ORCID
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Modern day proteomics generates ever more complex data, causing the requirements on the storage and processing of such data to outgrow the capacity of most desktop computers. To cope with the increased computational demands, distributed architectures have gained substantial popularity in the recent years. In this review, we provide an overview of the current techniques for distributed computing, along with examples of how the techniques are currently being employed in the field of proteomics. We thus underline the benefits of distributed computing in proteomics, while also pointing out the potential issues and pitfalls involved.