Biological Sequence Analysis with Iterative Maps
Jonas S. Almeida(Author)
Chapman & Hall/CRC (Publisher)
1st Edition
Published on 31. October 2010
Book
Hardback
506 pages
978-1-58488-332-6 (ISBN)
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.
More details
Series
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Professional
Illustrations
200 s/w Abbildungen
200 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-58488-332-6 (9781584883326)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
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, Is
Author
The University of Texas M. D. Anderson Cancer Center, USA
Series Editor
Content
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.