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Preface to CMLSA 2008

  • Yi-Ping Phoebe Chen
  • Sven Hartmann
  • Markus Kirchberg
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5232)

Abstract

Life Sciences applications typically involve large volumes of data of various kinds and a multiplicity of software tools for managing, analysing and interpreting them. There are many challenging problems in the processing of life sciences data that require effective support by novel theories, methods and technologies. Conceptual modelling is the key for developing high-performance information systems that put these theories, methods and technologies into practice. The fast growing interest in life sciences applications calls for special attention on resource integration and collaborative efforts in information systems development.

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Yi-Ping Phoebe Chen
    • 1
  • Sven Hartmann
    • 2
  • Markus Kirchberg
    • 3
  1. 1.Deakin UniversityAustralia
  2. 2.Clausthal University of TechnologyGermany
  3. 3.Institute for Infocomm Research, A*STARSingapore

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