16. Analyzing Gene Expression Imaging Data in Developmental Biology

  1. Malcolm Atkinson4,
  2. Rob Baxter5,
  3. Michelle Galea4,
  4. Mark Parsons5,
  5. Peter Brezany6,
  6. Oscar Corcho7,
  7. Jano van Hemert8 and
  8. David Snelling9
  1. Liangxiu Han1,
  2. Jano van Hemert2,8,
  3. Ian Overton3,
  4. Paolo Besana4 and
  5. Richard Baldock3

Published Online: 9 APR 2013

DOI: 10.1002/9781118540343.ch16

The DATA Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business

The DATA Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business

How to Cite

Han, L., van Hemert, J., Overton, I., Besana, P. and Baldock, R. (2013) Analyzing Gene Expression Imaging Data in Developmental Biology, in The DATA Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business (eds M. Atkinson, R. Baxter, M. Galea, M. Parsons, P. Brezany, O. Corcho, J. van Hemert and D. Snelling), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9781118540343.ch16

Editor Information

  1. 4

    School of Informatics, University of Edinburgh, Edinburgh, UK

  2. 5

    EPCC, University of Edinburgh, Edinburgh, UK

  3. 6

    University of Vienna, Vienna, Austria

  4. 7

    Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

  5. 8

    Optos PLC, Dunfermline, UK

  6. 9

    Research Transformation and Innovation, Fujitsu Laboratories of Europe Limited, Hayes, UK

Author Information

  1. 1

    School of Computing, Mathematics & Digital Technology, Manchester Metropolitan University, Manchester, UK

  2. 2

    Optos plc, Queensferry House, Dunfermline, UK

  3. 3

    Medical Research Council, Human Genetics Unit, Edinburgh, UK

  4. 4

    School of Informatics, University of Edinburgh, Edinburgh, UK

  5. 8

    Optos PLC, Dunfermline, UK

Publication History

  1. Published Online: 9 APR 2013
  2. Published Print: 12 APR 2013

Book Series:

  1. Wiley Series on Parallel and Distributed Computing

Book Series Editors:

  1. Albert Y. Zomaya

ISBN Information

Print ISBN: 9781118398647

Online ISBN: 9781118540343

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Keywords:

  • annotation of gene expression;
  • computational biology;
  • data-intensive computational architecture;
  • data-intensive methods

Summary

This chapter describes the application of data-intensive methods to the automatic identification and annotation of gene expression patterns in the mouse embryo. The first section of the chapter introduces ideas behind modern computational and systems biology, how the explosion of data in the postgenomic world has led to new possibilities and even greater challenges. The second section talks about the particular computational biology problem and describes annotating images of gene expression with the right anatomical terms in depth. An automated solution based on data-intensive methods is discussed the third section. The final section looks ahead to the biological significance and systems biology application of these approaches and also describes a large-scale challenge and possible series of experiments with a novel data-intensive computational architecture.

Controlled Vocabulary Terms

statistics