Pattern Discovery in Biomolecular Data

Tools, Techniques, and Applications

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Science & Nature, Science, Biological Sciences, Genetics
Cover of the book Pattern Discovery in Biomolecular Data by , Oxford University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780190283728
Publisher: Oxford University Press Publication: October 28, 1999
Imprint: Oxford University Press Language: English
Author:
ISBN: 9780190283728
Publisher: Oxford University Press
Publication: October 28, 1999
Imprint: Oxford University Press
Language: English

Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches, the book presents methods in their purest form so that readers can best choose the method or combination that fits their needs. The chapters focus on finding patterns in DNA, RNA, and protein sequences, finding patterns in 2D and 3D structures, and choosing system components. This volume will be invaluable for all workers in genomics and genetic analysis, and others whose research requires biocomputing.

More books from Oxford University Press

Cover of the book Saving Cinema by
Cover of the book Marriage Wars in Late Renaissance Venice by
Cover of the book Mapping Modern Beijing by
Cover of the book The Reformation of Prophecy by
Cover of the book A Step-By-Step Guide for Coaching Classroom Teachers in Evidence-Based Interventions by
Cover of the book An Impossible Dream? by
Cover of the book The Music Parents' Survival Guide by
Cover of the book Tap Dancing America by
Cover of the book Film is Like a Battleground by
Cover of the book Exodus by
Cover of the book Great Crossings by
Cover of the book The Knowledge We Have Lost in Information by
Cover of the book Ecology of Predator-Prey Interactions by
Cover of the book The Changing Face of Anti-Semitism by
Cover of the book What the Face Reveals:Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS) by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy