Time Warps, String Edits, and Macromolecules The Theory and Practice of Sequence Comparision

Sankoff, David (Editor)/ Kruskal, Joseph B. (Editor)

ISBN 10: 1575862174 / ISBN 13: 9781575862170

Published by Stanford Univ Center for the Study, 2000

About this Item

reissue edition. 382 pages. 9.00x6.00x0.75 inches. In Stock.

Seller Inventory # 1575862174

Bibliographic Details

• Title: Time Warps, String Edits, and Macromolecules The Theory and Practice of Sequence Comparision
• Publisher: Stanford Univ Center for the Study
• Publication Date: 2000
• Language: English
• ISBN 10: 1575862174
• ISBN 13: 9781575862170
• Binding: Paperback
• Condition: Brand New
• Weight: 0.55 kilograms

About this title

Synopsis

Time Warps, String Edits and Macromolecules is a young classic in computational science. The computational perspective is that of sequence processing, in particular the problem of recognizing related sequences. The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively. This is called string distance, Levenshtein distance, or edit distance. The book contains lucid explanations of the basic techniques; well-annotated examples of applications; mathematical analysis of its computational (algorithmic) complexity; and extensive discussion of the variants needed for weighted measures, timed sequences (songs), applications to continuous data, comparison of multiple sequences and extensions to tree-structures. This theory finds applications in molecular biology, speech recognition, analysis of bird song and error correcting in computer software.

Book Description

Time Warps, String Edits and Macromolecules is a young classic in computational science, scientific analysis from a computational perspective. The book is the first, and still best compilation of papers explaining how to measure distance between sequences, and how to compute that measure effectively. The book contains lucid explanations of the basic techniques, well-annotated examples of applications, and mathematical analysis of its computational (algorithmic) complexity.