19. Computational Characterization of Regulatory Regions

  1. Mourad Elloumi2 and
  2. Albert Y. Zomaya3
  1. Enrique Blanco

Published Online: 23 DEC 2010

DOI: 10.1002/9780470892107.ch19

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications

How to Cite

Blanco, E. (2011) Computational Characterization of Regulatory Regions, in Algorithms in Computational Molecular Biology: Techniques, Approaches and Applications (eds M. Elloumi and A. Y. Zomaya), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470892107.ch19

Editor Information

  1. 2

    Unit of Technologies of Information and Communication (UTIC) and University of Tunis-El Manar, Tunisia

  2. 3

    School of Information Technologies, The University of Sydney, Australia

Author Information

  1. Department of Genetics, Institute of Biomedicine of the University of Barcelona, Spain

Publication History

  1. Published Online: 23 DEC 2010
  2. Published Print: 18 JAN 2011

ISBN Information

Print ISBN: 9780470505199

Online ISBN: 9780470892107

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Keywords:

  • computational characterization of regulatory regions - genomes, genetic information repositories on each cell of a living being;
  • gene transcription initiation, control point - in gene regulatory programs;
  • predictive models, annotating sequences - regulatory signal recognition, for gene expression machinery in cells

Summary

This chapter contains sections titled:

  • The Genome Regulatory Landscape

  • Qualitative Models of Regulatory Signals

  • Quantitative Models of Regulatory Signals

  • Detection of Dependencies in Sequences

  • Repositories of Regulatory Information

  • Using Predictive Models to Annotate Sequences

  • Comparative Genomics Characterization

  • Sequence Comparisons

  • Combining Motifs and Alignments

  • Experimental Validation

  • Summary

  • References