Data access and integration in the ISPIDER proteomics Grid

Lucas Zamboulis, Hao Fan, Khalid Belhajjame, Jennifer Siepen, Andrew Jones, Nigel Martin, Alexandra Poulovassilis, Simon Hubbard, Suzanne M. Embury, Norman W. Paton

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    Grid computing has great potential for supporting the integration of complex, fast changing biological data repositories to enable distributed data analysis. One scenario where Grid computing has such potential is provided by proteomics resources which are rapidly being developed with the emergence of affordable, reliable methods to study the proteome. The protein identifications arising from these methods derive from multiple repositories which need to be integrated to enable uniform access to them. A number of technologies exist which enable these resources to be accessed in a Grid environment, but the independent development of these resources means that significant data integration challenges, such as heterogeneity and schema evolution, have to be met. This paper presents an architecture which supports the combined use of Grid data access (OGSA-DAI), Grid distributed querying (OGSA-DQP) and data integration (AutoMed) software tools to support distributed data analysis. We discuss the application of this architecture for the integration of several autonomous proteomics data resources. © Springer-Verlag Berlin Heidelberg 2006.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.
    PublisherSpringer Nature
    Number of pages15
    ISBN (Print)3540365931, 9783540365938
    Publication statusPublished - 2006
    Event3rd International Workshop on Data Integration in the Life Sciences, DILS 2006 - Hinxton
    Duration: 1 Jul 2006 → …

    Publication series

    NameLecture Notes in Computer Science


    Conference3rd International Workshop on Data Integration in the Life Sciences, DILS 2006
    Period1/07/06 → …
    Internet address


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