Biological Sequence Analysis with Iterative Maps

Biological Sequence Analysis with Iterative Maps

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Description

Recent theoretical advances have turned the idea of representing biological sequences in a continuous coordinate space a reality, which sets the stage for a new generation of sequence analysis tools, including iterative maps. This book provides an accessible introduction to the new theory, illustrates its algorithmic implementation, and suggests new formulations for sequence querying, alignment, clustering, entropy, and statistical characterization. The author provides both MATLAB and Web-based software that readers can use to develop their own algorithms, illustrates the formulation of iterative procedure with graphical representations, and includes end-of-chapter examples and exercises.show more

Product details

  • Hardback | 506 pages
  • 156 x 235mm
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • United States
  • English
  • 200 black & white illustrations
  • 1584883324
  • 9781584883326

Table of contents

Why Iterative Functions for Sequence Representation - An Overview. The Beginning - Chaos Game Representation of Genomic sequences. Generalization for Arbitrary Sequences 1: 2D Graphic Solutions. Generalization for Arbitrary Sequences 2:Universal Solutions. The USM Algorithm. Sequence Comparison. Sequence Alignment. Statistical Analysis. Entropic Characterization. Statistical Mechanics of Discrete Sequences. Appendix 1 - Accompanying Web-Based Tool. Appendix 2 - MATLAB Toolbox Documentation.show more

About Jonas S. Almeida

The University of Texas M. D. Anderson Cancer Center, USA University of Tennessee, Knoxville, USA University of Tennessee, Knoxville, Tennessee, USA University of Oxford, Oxford, England University of Oxford, England Georgia Tech & Emory University, Atlanta, Georgia, USA Macquarie University, Sydney, New South Wales, Australia Bioinformatics & Bio Computing, Weizmann Inst of Science, Isshow more