Bioinformation Discovery: Data to Knowledge in Biology

✍ Scribed by Pandjassarame Kangueane

Publisher: Springer International Publishing
Year: 2018
Tongue: English
Leaves: 226
Edition: 2nd ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xxxiii
Bioinformatics for Bioinformation (Pandjassarame Kangueane)....Pages 1-31
Creating Datasets for Bioinformation (Pandjassarame Kangueane)....Pages 33-73
Tools and Techniques (Pandjassarame Kangueane)....Pages 75-94
Protein-Protein Interaction (Pandjassarame Kangueane)....Pages 95-106
Homodimer Folding and Binding (Pandjassarame Kangueane)....Pages 107-116
Fusion Proteins (Pandjassarame Kangueane)....Pages 117-130
MHC Informatics to Peptide Vaccine Design (Pandjassarame Kangueane)....Pages 131-162
Cholera Toxin Analysis to Vaccine Design (Pandjassarame Kangueane)....Pages 163-171
HIV-1 GP160 (GP120/GP40) Trimer ENV Spike Protein (Pandjassarame Kangueane)....Pages 173-181
Eukaryotic Genes, Functions, Genomes, Design, and Evolution (Pandjassarame Kangueane)....Pages 183-196
Back Matter ....Pages 197-202

✦ Subjects

Life Sciences; Bioinformatics; Computational Biology/Bioinformatics; Immunology; Vaccine; Protein Structure

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