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Knowledge Discovery and Emergent Complexity in Bioinformatics

First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006, Revised Selected Papers

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Karl Tuyls
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  2. Ronald Westra
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  3. Yvan Saeys
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  4. Ann Nowé
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4366)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

Included in the following conference series:

Conference proceedings info: KDECB 2006.

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Table of contents (12 papers)

  1. Front Matter

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  2. Knowledge Discovery and Emergent Complexity in Bioinformatics

    • Ronald Westra, Karl Tuyls, Yvan Saeys, Ann Nowé
    Pages 1-9

  3. Boolean Algebraic Structures of the Genetic Code: Possibilities of Applications

    • Ricardo Grau, Maria del C. Chavez, Robersy Sanchez, Eberto Morgado, Gladys Casas, Isis Bonet
    Pages 10-21

  4. Discovery of Gene Regulatory Networks in Aspergillus fumigatus

    • Reinhard Guthke, Olaf Kniemeyer, Daniela Albrecht, Axel A. Brakhage, Ulrich Möller
    Pages 22-41

  5. Complexity Measures for Gene Assembly

    • Tero Harju, Chang Li, Ion Petre, Grzegorz Rozenberg
    Pages 42-60

  6. Learning Relations from Biomedical Corpora Using Dependency Trees

    • Sophia Katrenko, Pieter Adriaans
    Pages 61-80

  7. Advancing the State of the Art in Computational Gene Prediction

    • William H. Majoros, Uwe Ohler
    Pages 81-106

  8. Enhancing Coding Potential Prediction for Short Sequences Using Complementary Sequence Features and Feature Selection

    • Yvan Saeys, Yves Van de Peer
    Pages 107-118

  9. The NetGenerator Algorithm: Reconstruction of Gene Regulatory Networks

    • Susanne Toepfer, Reinhard Guthke, Dominik Driesch, Dirk Woetzel, Michael Pfaff
    Pages 119-130

  10. On the Neuronal Morphology-Function Relationship: A Synthetic Approach

    • Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
    Pages 131-144

  11. Analyzing Stigmergetic Algorithms Through Automata Games

    • Peter Vrancx, Katja Verbeeck, Ann Nowé
    Pages 145-156

  12. The Identification of Dynamic Gene-Protein Networks

    • Ronald L. Westra, Goele Hollanders, Geert Jan Bex, Marc Gyssens, Karl Tuyls
    Pages 157-170

  13. Sparse Gene Regulatory Network Identification

    • Ralf L. M. Peeters, Stef Zeemering
    Pages 171-182

  14. Back Matter

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  1. Knowledge Discovery and Emergent Complexity in Bioinformatics

Keywords

About this book

This book contains selected and revised papers of the International Symposium on Knowledge Discovery and Emergent Complexity in Bioinformatics (KDECB 2006), held at the University of Ghent, Belgium, May 10, 2006. In February 1943, the Austrian physicist Erwin Schrodi ¨ nger, one of the founding fathers of quantum mechanics, gave a series of lectures at Trinity College in Dublin titled “What Is Life? The Physical Aspect of the Living Cell and Mind. ” In these l- tures Schrodi ¨ nger stressed the fundamental differencesencountered between observing animate and inanimate matter, and advanced some, at the time, audacious hypotheses aboutthe nature andmolecularstructureof genes, some ten yearsbeforethe discoveries of Watson and Crick. Indeed, the rules of living matter, from the molecular level to the level of supraorganic ocking behavior, seem to violate the simple basic interactions found between fundamental particles as electrons and protons. It is as if the organic molecules in the cell ‘know’ that they are alive. Despite all external stochastic uct- tions and chaos, process and additive noise, this machinery has been ticking for at least 3. 8 billion years. Yet, we may safely assume that the laws that governphysicsalso steer these complex associations of synchronous and seemingly intentional dynamics in the cell.

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