Mathematical Approaches to Polymer Sequence Analysis and Related Problems

ISBN 10: 1441967990 / ISBN 13: 9781441967992

Published by Springer, 2010

About this Item

pp. 260 Index.

Seller Inventory # 262061506

Bibliographic Details

• Title: Mathematical Approaches to Polymer Sequence Analysis and Related Problems
• Publisher: Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 1441967990
• ISBN 13: 9781441967992
• Binding: Hardcover
• Condition: New

About this title

Synopsis

An edited volume describing the latest developments in approaching the problem of polymer sequence analysis, with special emphasis on the most relevant biopolymers (peptides and DNA) but not limited to them. The chapters will include peptide sequence analysis, DNA sequence analysis, analysis of biopolymers and nonpolymers, sequence alignment problems, and more.

From the Back Cover

Many problems arising in biological, chemical and medical research, that could not be solved in the past due to their dimension and complexity, are nowadays tackled by means of automatic elaboration, thus creating the emerging field of Bioinformatics. However, the success of such approaches depends not only on brute computational strength of the computers on which the solution procedures run, but also, and often critically, on the mathematical quality of the models and of the algorithms underlying those solution procedures. The present volume offers a detailed overview of some of the most interesting mathematical approaches to sequence analysis and other sequence related problems. Special emphasis is devoted to problems concerning the most relevant biopolymers (proteins and genetic sequences), but the exposition is not limited to them. The target audience consists of researchers from many areas of Bioinformatics interested in sequence analysis problems either from a theoretical and mathematical point of view, such as mathematicians and computer scientists, or for more applicative and production-oriented reasons, such as biologists and medical researchers or practitioners working for chemical or pharmaceutical companies. The book should moreover be of use to mathematics students learning computational biology, or to biology students learning bioinformatics.