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Information Theory, Evolution, and the Origin of Life
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Details

  • Page extent: 272 pages
  • Size: 228 x 152 mm
  • Weight: 0.57 kg

Library of Congress

  • Dewey number: 572.8
  • Dewey version: 22
  • LC Classification: QH506 .Y634 2005
  • LC Subject headings:
    • Molecular biology
    • Information theory in biology
    • Evolution (Biology)
    • Life--Origin

Library of Congress Record

Hardback

 (ISBN-13: 9780521802932 | ISBN-10: 0521802938)

Originally published in 2005, Information Theory, Evolution and the Origin of Life presents an introduction to the use of information theory and coding theory in molecular biology. The genetical information system, because it is linear and digital, resembles the algorithmic language of computers. George Gamow pointed out that the application of Shannon's information theory breaks genetics and molecular biology out of the descriptive mode into the quantitative mode and Dr Yockey develops this theme, discussing how information theory and coding theory can be applied to molecular biology. He discusses how these tools for measuring the information in the sequences of the genome and the proteome are essential for our complete understanding of the nature and origin of life. The author writes for the computer competent reader who is interested in evolution and the origins of life.

• Timely discussion of how information theory can be applied to genetics, molecular biology and the origins of life

Contents

1. The genetic information system; 2. James Watson, Francis Crick, George Gamow and the genetic code; 3. The central dogma of molecular biology; 4. The measure of information content in the genetic message; 5. Communication of information from the genome to the proteome; 6. The information content or complexity of protein families; 7. Evolution of the genetic code and its modern characteristics; 8. Haeckel's Urschleim and the role of the central dogma in the origin of life; 9. Philosophical approaches to the origin of life; 10. Error catastrophe and the hypercycles of Eigen and Schuster; 11. Randomness, complexity, the unknowable and the impossible; 12. Does evolution need an intelligent designer?

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