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

chapter 1|6 pages


part |2 pages

I The Fundamentals

chapter 2|38 pages

Basic Algorithmics

chapter 3|42 pages

Basic Statistics

chapter 4|22 pages

What Are Patterns?

part |2 pages

II Patterns on Linear Strings

chapter 5|26 pages

Modeling the Stream of Life

chapter 6|44 pages

String Pattern Specifications

chapter 7|30 pages

Algorithms & Pattern Statistics

chapter 8|22 pages

Motif Learning

chapter 9|28 pages

The Subtle Motif

part |2 pages

III Patterns on Meta-Data

chapter 10|58 pages

Permutation Patterns

chapter 11|32 pages

Permutation Pattern Probabilities

chapter 12|62 pages

Topological Motifs

chapter 13|52 pages

Set-Theoretic Algorithmic Tools

chapter 14|34 pages

Expression & Partial Order Motifs