Overview
Illustrates the power of biological data in knowledge discovery
Used for the development of prediction models for simulations of biological reactions and events
Examples of knowledge discovery with plenty of exercise problems
Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in Bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using Bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. Each chapter concludes with a number of good problem sets to test mastery of the material.
Bibliographic Information
Book Title: Bioinformation Discovery
Book Subtitle: Data to Knowledge in Biology
Authors: Pandjassarame Kangueane
DOI: https://doi.org/10.1007/978-1-4419-0519-2
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag New York 2009
Softcover ISBN: 978-1-4899-8318-3Published: 26 November 2014
eBook ISBN: 978-1-4419-0519-2Published: 04 August 2009
Edition Number: 1
Number of Pages: XXV, 166
Topics: Bioinformatics, Computational Biology/Bioinformatics, Immunology, Vaccine, Protein Structure