Database Annotation in Molecular Biology

Database Annotation in Molecular Biology

Editor(s): Arthur M. Lesk

Published Online: 8 JUN 2005

Print ISBN: 9780470856819

Online ISBN: 9780470012420

DOI: 10.1002/0470012420

About this Book

Two factors dominate current molecular biology: the amount of raw data is increasing very rapidly and successful applications in biomedical research require carefully curated and annotated databases. The quality of the experimental data -- especially nucleic acid sequences -- is satisfactory; however, annotations depend on features inferred from the data rather than measured directly, for instance the identification of genes in genome sequences. It is essential that these inferences are as accurate as possible and this requires human intervention.

With the recognition of the importance of accurate database annotation and the requirement for individuals with particular constellations of skills to carry it out, annotators are emerging as specialists within the profession of bioinformatics. This book compiles information about annotation -- its current status, what is required to improve it, what skills must be brought to bear on database curation and hence what is the proper training for annotators.

The book should be essential reading for all people working on biological databases, both biologists and computer scientists. It will also be of interest to all users of such databases, including molecular biologists, geneticists, protein chemists, clinicians and drug developers.

Table of contents

    1. You have free access to this content
    1. Chapter 1

      Annotation and Databases: Status and Prospects (pages 1–21)

      M. Hoebeke, H. Chiapello, J.-F. Gibrat, J. Garnier and Ph. Bessières

  1. Part I: The Databanks

  2. Part II: The Basis of Annotation

    1. Chapter 9

      Issues in the Annotation of Protein Structures (pages 149–165)

      G. J. Swaminathan, J. Tate, R. Newman, A. Hussain, J. Ionides, K. Henrick and S. Velankar

  3. Part III: Database Design and Integration

    1. Chapter 13

      The European Bioinformatics Institute Macromolecular Structure Relational Database Technology (pages 223–240)

      H. Boutselakis, D. Dimitropoulos, K. Henrick, J. Ionides, M. John, P.A. Keller, P. McNeil, J. Pineda and A. Suarez-Uruena

  4. Part IV: Conclusions and Prospects

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