Bioinformation Discovery : Data to Knowledge in Biology /

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. T...

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Bibliographic Details
Main Author: Kangueane, Pandjassarame (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:2nd ed. 2018.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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 and 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. .
Item Description:Electronic resource.
Physical Description:1 online resource (XXXIII, 202 pages 141 illustrations, 17 illustrations in color) : online resource.
ISBN:9783319953274
DOI:10.1007/978-3-319-95327-4