Buch, Englisch, 272 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 596 g
Buch, Englisch, 272 Seiten, Format (B × H): 157 mm x 235 mm, Gewicht: 596 g
ISBN: 978-0-521-80293-2
Verlag: Cambridge University Press
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.
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Vorklinische Medizin: Grundlagenfächer Humangenetik
- Naturwissenschaften Biowissenschaften Molekularbiologie
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
- Naturwissenschaften Biowissenschaften Proteinforschung
- Naturwissenschaften Biowissenschaften Biowissenschaften Evolutionsbiologie
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
Weitere Infos & Material
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?




