Pattern Discovery in Bioinformatics : Theory & Algorithms

Laxmi Parida

ISBN 10: 1584885491 / ISBN 13: 9781584885498

Published by Taylor & Francis, Chapman & Hall Feb 2008, 2008

About this Item

Neuware - 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 systematic approach to pattern discovery, the book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological data. It explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean expressions. Each of these classes captures a different form of regularity in the data, providing possible answers to a wide range of questions. The book also reviews basic statistics, including probability, information theory, and the central limit theorem.This self-contained book provides a solid foundation in computational methods, enabling the solution of difficult biological questions.

Seller Inventory # 9781584885498

Bibliographic Details

• Title: Pattern Discovery in Bioinformatics : Theory & Algorithms
• Publisher: Taylor & Francis, Chapman & Hall Feb 2008
• Publication Date: 2008
• Language: English
• ISBN 10: 1584885491
• ISBN 13: 9781584885498
• Binding: Buch
• Condition: Neu
• Dimensions: 156W x 0H x 0D millimeters 156 millimeters width by 0 millimeters height by 0 millimeters depth
• Weight: 892 grams

About this title

Synopsis

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 systematic approach to pattern discovery, the book supplies sound mathematical definitions and efficient algorithms to explain vital information about biological data. It explores various data patterns, including strings, clusters, permutations, topology, partial orders, and boolean expressions. Each of these classes captures a different form of regularity in the data, providing possible answers to a wide range of questions. The book also reviews basic statistics, including probability, information theory, and the central limit theorem. This self-contained book provides a solid foundation in computational methods, enabling the solution of difficult biological questions.

About the Author

Parida, Laxmi