Authors:
- Presents a complete treatment in the state of the art on the study of sequence comparison
- Covers the spaced seed technique, a new issue of sequence comparison
- Addresses new flexible strategies for coping with various scoring schemes
- Features a comprehensive introduction, which provides a general tutorial for all level readers
Part of the book series: Computational Biology (COBO, volume 7)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (8 chapters)
-
Front Matter
-
Algorithms and Techniques
-
Back Matter
About this book
Biomolecular sequence comparison is the origin of bioinformatics. This book gives a complete in-depth treatment of the study of sequence comparison.
A comprehensive introduction is followed by a focus on alignment algorithms and techniques, proceeded by a discussion of the theory. The book examines alignment methods and techniques, features a new issue of sequence comparison - the spaced seed technique, addresses several new flexible strategies for coping with various scoring schemes, and covers the theory on the significance of high-scoring segment pairs between two unalignment sequences. Useful appendices on basic concepts in molecular biology, primer in statistics and software for sequence alignment are included in this reader-friendly text, as well as chapter-ending exercise and research questions
A state-of-the-art study of sequence alignment and homology search, this is an ideal reference for advanced students studying bioinformatics and will appeal to biologists who wish to know how to use homology search tools.
Authors and Affiliations
-
Department of Computer Science and Information Engineering, National Taiwan University, Taiwan
Kun-Mao Chao
-
Department of Mathematics, National University of Singapore, Singapore
Louxin Zhang
Bibliographic Information
Book Title: Sequence Comparison
Book Subtitle: Theory and Methods
Authors: Kun-Mao Chao, Louxin Zhang
Series Title: Computational Biology
DOI: https://doi.org/10.1007/978-1-84800-320-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84800-319-4Published: 13 October 2008
Softcover ISBN: 978-1-84996-782-2Published: 22 October 2010
eBook ISBN: 978-1-84800-320-0Published: 27 November 2008
Series ISSN: 1568-2684
Series E-ISSN: 2662-2432
Edition Number: 1
Number of Pages: XX, 209
Topics: Computational Biology/Bioinformatics, Bioinformatics, Biochemistry, general, Sequences, Series, Summability, Computer Imaging, Vision, Pattern Recognition and Graphics, Algorithm Analysis and Problem Complexity