Introduction to Bioinformatics
eBook - ePub

Introduction to Bioinformatics

  1. 192 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Introduction to Bioinformatics

About this book

Guiding readers from the elucidation and analysis of a genomic sequence to the prediction of a protein structure and the identification of the molecular function, Introduction to Bioinformatics describes the rationale and limitations of the bioinformatics methods and tools that can help solve biological problems. Requiring only a limited mathematical and statistical background, the book shows how to efficiently apply these approaches to biological data and evaluate the resulting information.

The author, an expert bioinformatics researcher, first addresses the ways of storing and retrieving the enormous amount of biological data produced every day and the methods of decrypting the information encoded by a genome. She then covers the tools that can detect and exploit the evolutionary and functional relationships among biological elements. Subsequent chapters illustrate how to predict the three-dimensional structure of a protein. The book concludes with a discussion of the future of bioinformatics.

Even though the future will undoubtedly offer new tools for tackling problems, most of the fundamental aspects of bioinformatics will not change. This resource provides the essential information to understand bioinformatics methods, ultimately facilitating in the solution of biological problems.

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Yes, you can access Introduction to Bioinformatics by Anna Tramontano in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Programming Games. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title
  3. CHAPMAN & HALL/CRC
  4. Published Titles
  5. Title Page
  6. Copyright Page
  7. Dedication
  8. Preface
  9. Author
  10. Acknowledgments
  11. Table of Contents
  12. Chapter 1 The Data: Storage and Retrieval
  13. Chapter 2 Genome Sequence Analysis
  14. Chapter 3 Protein Evolution
  15. Chapter 4 Similarity Searches in Databases
  16. Chapter 5 Amino Acid Sequence Analysis
  17. Chapter 6 Prediction of the Three-Dimensional Structure of a Protein
  18. Chapter 7 Homology Modeling
  19. Chapter 8 Fold Recognition Methods
  20. Chapter 9 New Fold Modeling
  21. Chapter 10 The “Omics” Universe
  22. Useful Web Sites
  23. Index