Pattern Recognition in Bioinformatics

Second IAPR International Workshop, PRIB 2007, Singapore, October 1-2, 2007. Proceedings

  • Editors
  • Jagath C. Rajapakse
  • Bertil Schmidt
  • Gwenn Volkert
Conference proceedings PRIB 2007

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4774)

Also part of the Lecture Notes in Bioinformatics book sub series (LNBI, volume 4774)

Table of contents

  1. Front Matter
  2. Sequence Analysis

    1. Xu-Ning Tang, Zhi-Chao Lian, Zhi-Li Pei, Yan-Chun Liang
      Pages 1-10
    2. Yan Lin Aung, Douglas L. Maskell, Timothy F. Oliver, Bertil Schmidt, William Bong
      Pages 11-18
    3. Maria Stepanova, Feng Lin, Valerie C. -L. Lin
      Pages 19-29
    4. Xuegong Deng, Xuemei Deng, Ilkka Havukkala
      Pages 51-59
    5. Caroline Pearson, Susan J. Simmons, Karl Ricanek Jr., Edward L. Boone
      Pages 60-70
  3. Prediction of Protein Structure, Interaction and Localization

  4. Gene Expression Analysis

    1. Yuriy Orlov, Jiangtao Zhou, Joanne Chen, Atif Shahab, Vladimir Kuznetsov
      Pages 166-177
    2. Ángela Blanco, Manuel Martín-Merino, Javier de las Rivas
      Pages 178-188
    3. Gregor Stiglic, Nawaz Khan, Mateja Verlic, Peter Kokol
      Pages 189-197

About these proceedings


The advancements of computational and informational techniques have enabled in silico testing of many lab-based experiments in life sciences before performing them in in vitro or in vivo. Though computational techniques are not capable of mimicking all wet-lab experiments, bioinformatics will inevitably play a major role in future medical practice. For example, in the pursuit of new drugs it can reduce the costs and complexity involved in expensive wet-lab experiments. It is expected that by 2010, sequencing of individual genomes will be affordable generating an unprecedented increase of life sciences data, in the form of sequences, expressions, networks, images, literature. Pattern recognition techniques lie at the heart of discovery of new insights into biological knowledge, as the presence of particular patterns or structure is often an indication of its function. The aim of the workshop series Pattern Recognition in Bioinformatics (PRIB) is to bring pattern recognition scientists and life scientists together to promote pattern recognition applications to solve life sciences problems. This volume presents the proceedings of the 2nd IAPR Workshop PRIB 2007 held in Singapore, October 1–2, 2007. It includes 38 technical contributions that were selected by the International Program Committee from 125 submissions. Each of these rigorously reviewed papers was presented orally at the workshop. The proceedings consists of six parts. Part 1: Sequence Analysis; Part 2: Prediction of Protein Structure, Interaction, and Localization; Part 3: Gene Expression Analysis; Part 4: Pathway Analysis; Part 5: Medical Informatics; and Part 6: Bioimaging.


Clustal Computer Fuzzy Gene Ontology Mutation algorithms association rule mining bioinformatics biomedical informatics classification clustering data mining gene expression genes knowledge discovery

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-75285-1
  • Online ISBN 978-3-540-75286-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book