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The Biozon System for Complex Analysis of Heterogeneous Interrelated Biological Data and Discovery of Emergent Structures

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Data Integration in the Life Sciences (DILS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3615))

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Abstract

Biological entities are strongly related and mutually dependent on each other. Therefore, there is a growing need to corroborate and integrate data from different resources and aspects of biological systems in order to analyze them effectively.

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Authors and Affiliations

  1. Department of Computer Science, Cornell University,  

    Aaron Birkland & Golan Yona

Authors
  1. Aaron Birkland
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  2. Golan Yona
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Editors and Affiliations

  1. Department of Computer Science, University of California, Davis,  

    Bertram Ludäscher

  2. University of Maryland, College Park, 20742, MD, USA

    Louiqa Raschid

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© 2005 Springer-Verlag Berlin Heidelberg

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Birkland, A., Yona, G. (2005). The Biozon System for Complex Analysis of Heterogeneous Interrelated Biological Data and Discovery of Emergent Structures. In: Ludäscher, B., Raschid, L. (eds) Data Integration in the Life Sciences. DILS 2005. Lecture Notes in Computer Science(), vol 3615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11530084_35

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  • DOI: https://doi.org/10.1007/11530084_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27967-9

  • Online ISBN: 978-3-540-31879-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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