Advertisement

Bioinformation Discovery

Data to Knowledge in Biology

  • Pandjassarame¬†Kangueane

Table of contents

  1. Front Matter
    Pages i-xxxiii
  2. Pandjassarame Kangueane
    Pages 1-31
  3. Pandjassarame Kangueane
    Pages 33-73
  4. Pandjassarame Kangueane
    Pages 75-94
  5. Pandjassarame Kangueane
    Pages 95-106
  6. Pandjassarame Kangueane
    Pages 107-116
  7. Pandjassarame Kangueane
    Pages 117-130
  8. Pandjassarame Kangueane
    Pages 131-162
  9. Pandjassarame Kangueane
    Pages 163-171
  10. Pandjassarame Kangueane
    Pages 173-181
  11. Pandjassarame Kangueane
    Pages 183-196
  12. Back Matter
    Pages 197-202

About this book

Introduction

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. 

Keywords

biology evolution genes genome histocompatibility molecular biology plannedjc protein proteins research

Authors and affiliations

  • Pandjassarame¬†Kangueane
    • 1
  1. 1.PondicherryIndia

Bibliographic information

Industry Sectors
Pharma
Biotechnology