Bioinformatics
eBook - PDF

Bioinformatics

Genomics and Post-Genomics

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Bioinformatics

Genomics and Post-Genomics

About this book

This book is an excellent introductory text describing the use of bioinformatics to analyze genomic and post-genomic data. It has been translated from the original popular French edition, which was based on a course taught at the well-respected École Polytechnique in Palaiseau. This edition has been fully revised and updated by the authors.

After a brief introduction to gene structure and sequence determination, it describes the techniques used to identify genes, their protein-coding sequences and regulatory regions. The book discusses the methodology of comparative genomics, using information from different organisms to deduce information about unknown sequences. There is a comprehensive chapter on structure prediction, covering both RNA and protein. Finally, the book describes the complex networks of RNA and protein that exist within the cell and their interactions, ending with a discussion of the simulation approaches that can be used to model these networks.

Praise from the reviews:

"In context of the new developments the genomic era has brought, Bioinformatics: Genomics and Post-Genomics becomes a fundamental and indispensable resource for undergraduate and early graduate students…insightfully authored…will immensely help students…in establishing important foundations while shaping their careers." NEWSLETTER, BRITISH SOCIETY OF CELL BIOLOGY

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Yes, you can access Bioinformatics by Frédéric Dardel,François Képès, Noah Hardy in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2007
Print ISBN
9780470020012
eBook ISBN
9780470020029

Table of contents

  1. Cover
  2. Contents
  3. Preface to the French edition
  4. Preface to the English edition
  5. 1: Genome sequencing
  6. 2: Sequence comparisons
  7. 3: Comparative genomics
  8. 4: Genetic information and biological sequences
  9. 5: Statistics and sequences
  10. 6: Structure prediction
  11. 7: Transcriptome and proteome: macromolecular networks
  12. 8: Simulation of biological processes in the genome context
  13. Index