Bioinformation Discovery

Data to Knowledge in Biology

  • Authors
  • Pandjassarame¬†Kangueane

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Pandjassarame Kangueane
    Pages 1-26
  3. Pandjassarame Kangueane
    Pages 27-64
  4. Pandjassarame Kangueane
    Pages 65-77
  5. Pandjassarame Kangueane
    Pages 79-86
  6. Pandjassarame Kangueane
    Pages 87-96
  7. Pandjassarame Kangueane
    Pages 97-110
  8. Pandjassarame Kangueane
    Pages 111-130
  9. Pandjassarame Kangueane
    Pages 131-139
  10. Pandjassarame Kangueane
    Pages 141-147
  11. Pandjassarame Kangueane
    Pages 149-162
  12. Back Matter
    Pages 163-166

About this book

Introduction

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.

Keywords

biology evolution genes genome histocompatibility molecular biology plannedjc protein proteins research

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-0519-2
  • Copyright Information Springer-Verlag New York 2009
  • Publisher Name Springer, New York, NY
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4419-0518-5
  • Online ISBN 978-1-4419-0519-2
  • About this book