Pattern Discovery in Bioinformatics: Theory & Algorithms

by Laxmi Parida

Overview

The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systema

Product Details

ISBN-13:	9781040207611
Publisher:	CRC Press
Publication date:	07/04/2007
Sold by:	Barnes & Noble
Format:	eBook
Pages:	512
File size:	13 MB
Note:	This product may take a few minutes to download.

Table of Contents

Introduction. Basic Algorithms. Basic Statistics. What Are Patterns? Modeling the Stream of Life. String Pattern Specifications. Algorithms and Pattern Statistics. Motif Learning. The Subtle Motif. Permutation Patterns. Permutation Pattern Probabilities. Topological Motifs. Set-Theoretic Algorithmic Tools. Expression and Partial Order Motifs. References. Index.