Chapter 10. Predictive Methods Using DNA Sequences

  1. Andreas D. Baxevanis1 and
  2. B. F. Francis Ouellette2
  1. Andreas D. Baxevanis

Published Online: 11 JAN 2002

DOI: 10.1002/0471223921.ch10

Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Volume 43, Second Edition

Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Volume 43, Second Edition

How to Cite

Baxevanis, A. D. (2001) Predictive Methods Using DNA Sequences, in Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Volume 43, Second Edition (eds A. D. Baxevanis and B. F. F. Ouellette), John Wiley & Sons, Inc., New York, USA. doi: 10.1002/0471223921.ch10

Editor Information

  1. 1

    Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland

  2. 2

    Centre for Molecular Medicine and Therapeutics, Children's and Women's Health Centre of British Columbia, University of British Columbia Vancouver, British Columbia, Canada

Author Information

  1. Genome Technology Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland

Publication History

  1. Published Online: 11 JAN 2002
  2. Published Print: 20 APR 2001

ISBN Information

Print ISBN: 9780471383901

Online ISBN: 9780471223924

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Keywords:

  • predictive methods;
  • DNA sequences;
  • GRAIL;
  • FGENEH/FGENES;
  • MZEF;
  • GENSCAN;
  • PROCRUSTES;
  • strategies;
  • considerations

Summary

This is an overview of methods available for making scientific discoveries from sequence-based data at the DNA level, not involving direct comparison to other sequences (as in previous sections). A problem set appears at the conclusion of the chapter.