4. Statistical Approaches in Eukaryotic Gene Prediction

  1. D. J. Balding2,
  2. M. Bishop3 and
  3. C. Cannings4
  1. V. Solovyev

Published Online: 9 MAY 2008

DOI: 10.1002/9780470061619.ch4

Handbook of Statistical Genetics, Third Edition

Handbook of Statistical Genetics, Third Edition

How to Cite

Solovyev, V. (2007) Statistical Approaches in Eukaryotic Gene Prediction, in Handbook of Statistical Genetics, Third Edition (eds D. J. Balding, M. Bishop and C. Cannings), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470061619.ch4

Editor Information

  1. 2

    Imperial College of Science, Technology and Medicine, London, UK

  2. 3

    CNR-ITB, Milan, Italy

  3. 4

    Division of Genomic Medicine, University of Sheffield, Sheffield, UK

Author Information

  1. Department of Computer Science, University of London, Surrey, UK

Publication History

  1. Published Online: 9 MAY 2008
  2. Published Print: 24 AUG 2007

ISBN Information

Print ISBN: 9780470058305

Online ISBN: 9780470061619

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Keywords:

  • posttranscriptional processing;
  • ribosome binding site;
  • human coding exons;
  • linear discriminant function;
  • canonical conserved dinucleotide;
  • splice-site prediction method;
  • Mahalonobis distances;
  • transcription start site;
  • multiple gene-prediction program;
  • genome–protein alignments

Summary

This chapter contains sections titled:

  • Structural Organization and Expression of Eukaryotic Genes

  • Methods of Functional Signal Recognition

  • Linear Discriminant Analysis

  • Prediction of Donor and Acceptor Splice Junctions

  • Identification of Promoter Regions in Human DNA

  • Recognition of PolyA Sites

  • Characteristics for Recognition of 3′-Processing Sites

  • Identification of Multiple Genes in Genomic Sequences

  • Discriminative and Probabilistic Approaches for Multiple Gene Prediction

  • Internal Exon Recognition

  • Recognition of Flanking Exons

  • Performance of Gene Identification Programs

  • Using Protein Similarity Information to Improve Gene Prediction

  • Genome Annotation Assessment Project (EGASP)

  • Annotation of Sequences from Genome Sequencing Projects

  • Characteristics and Computational Identification of miRNA genes

  • Prediction of microRNA Targets

  • Internet Resources for Gene Finding and Functional Site Prediction

  • Acknowledgments

  • References