Pattern Discovery in Bioinformatics: Theory & Algorithms, 1st Edition (e-Book) book cover

Pattern Discovery in Bioinformatics

Theory & Algorithms, 1st Edition

By Laxmi Parida

Chapman and Hall/CRC

512 pages

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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

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.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Programming / Games
MATHEMATICS / Probability & Statistics / General
SCIENCE / Life Sciences / Biology / General
SCIENCE / Biotechnology