4. Data Integration: Towards Understanding Biological Complexity

  1. Michael P. H. Stumpf2,
  2. David J. Balding3 and
  3. Mark Girolami4
  1. David Gomez-Cabrero and
  2. Jesper Tegner

Published Online: 12 SEP 2011

DOI: 10.1002/9781119970606.ch4

Handbook of Statistical Systems Biology

Handbook of Statistical Systems Biology

How to Cite

Gomez-Cabrero, D. and Tegner, J. (2011) Data Integration: Towards Understanding Biological Complexity, in Handbook of Statistical Systems Biology (eds M. P. H. Stumpf, D. J. Balding and M. Girolami), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781119970606.ch4

Editor Information

  1. 2

    Division of Molecular Biosciences, Imperial College London, UK

  2. 3

    Institute of Genetics, University College London, UK

  3. 4

    Department of Statistical Science, University College London, UK

Author Information

  1. Unit of Computational Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden

Publication History

  1. Published Online: 12 SEP 2011
  2. Published Print: 21 OCT 2011

ISBN Information

Print ISBN: 9780470710869

Online ISBN: 9781119970606

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Keywords:

  • data integration;
  • biological entities;
  • Knowledge Databases and Ontologies;
  • Open Biomedical Ontologies (OBOs);
  • KDs and Ontologies;
  • clustering algorithms;
  • gene-set analysis

Summary

This chapter contains sections titled:

  • Storing knowledge: Experimental data, knowledge databases, ontologies and annotation

  • Data integration in biological studies

  • Concluding remarks

  • References