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A network approach for managing and processing big cancer data in clouds

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Abstract

Translational cancer research requires integrative analysis of multiple levels of big cancer data to identify and treat cancer. In order to address the issues that data is decentralised, growing and continually being updated, and the content living or archiving on different information sources partially overlaps creating redundancies as well as contradictions and inconsistencies, we develop a data network model and technology for constructing and managing big cancer data. To support our data network approach for data process and analysis, we employ a semantic content network approach and adopt the CELAR cloud platform. The prototype implementation shows that the CELAR cloud can satisfy the on-demanding needs of various data resources for management and process of big cancer data.

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Acknowledgments

We thank the Scientific Computing team and RNA Biology Group at CRUK MI for their helpful comments. We would like to thank EU CELAR project partners, in particular, the Laboratory for Internet Computing (LINC), University of Cyprus.

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Authors and Affiliations

  1. Cancer Research UK Manchester Institute, University of Manchester, Manchester, M20 4BX, UK

    Wei Xing

  2. School of Computing and Technology, University of West London, London, W5 5RF, UK

    Wei Jie

  3. Computing Systems Laboratory, National Technical University of Athens, Athens, 15773, Greece

    Dimitrios Tsoumakos

  4. Department of Computer Science, University of Middlsex, London, NW4 4BT, UK

    Moustafa Ghanem

Authors
  1. Wei Xing
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  2. Wei Jie
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  3. Dimitrios Tsoumakos
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  4. Moustafa Ghanem
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Correspondence to Wei Xing.

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Xing, W., Jie, W., Tsoumakos, D. et al. A network approach for managing and processing big cancer data in clouds. Cluster Comput 18, 1285–1294 (2015). https://doi.org/10.1007/s10586-015-0456-6

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  • DOI: https://doi.org/10.1007/s10586-015-0456-6

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