Adobe eBook Reader
Looking for an examination copy?
If you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact firstname.lastname@example.org providing details of the course you are teaching.
Information Theory, Evolution and the Origin of Life presents a timely 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.Read more
- Timely discussion of how information theory can be applied to genetics, molecular biology and the origins of life
Not yet reviewed
Be the first to review
Review was not posted due to profanity×
- Date Published: July 2005
- format: Adobe eBook Reader
- isbn: 9780511113727
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of 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?
Sorry, this resource is locked
Please register or sign in to request access. If you are having problems accessing these resources please email email@example.comRegister Sign in
You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.Continue ×