Authors:
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
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
This new edition continues to illustrate 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. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and protein functions driven by surface electrostatics.
Authors and Affiliations
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Pondicherry, India
Pandjassarame Kangueane
About the author
Bibliographic Information
Book Title: Bioinformation Discovery
Book Subtitle: Data to Knowledge in Biology
Authors: Pandjassarame Kangueane
DOI: https://doi.org/10.1007/978-3-319-95327-4
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-95326-7Published: 11 September 2018
Softcover ISBN: 978-3-030-07015-1Published: 14 February 2019
eBook ISBN: 978-3-319-95327-4Published: 01 September 2018
Edition Number: 2
Number of Pages: XXXIII, 202
Number of Illustrations: 124 b/w illustrations, 17 illustrations in colour
Topics: Bioinformatics, Computational Biology/Bioinformatics, Immunology, Vaccine, Protein Structure