Information Theory, Evolution, and the Origin of Life
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.
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James Watson Francis Crick George Gamow
The Central Dogma of molecular biology
The measure of the information content in
Communication of information from the genome to
The information content or complexity
Evolution of the genetic code and its modern
Haeckels Urschleim and the role of the Central Dogma
Philosophical approaches to the origin of life
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algorithm amino acids Arg His Val Asn Glu Asp Asp Lys Arg Asp Lys Val assigned axioms BH distance binary Central Dogma Chaitin chemical chemistry coacervates code words column complexity conditional entropy Crick Cys Phe Trp Cyto-c Darwin decoding dialectical materialism Earth Eigen Equation equivalent amino acids error error catastrophe evolution functionally equivalent amino Gamow genetic code genetic message genetic noise genome George Gamow Gin Asn Glu Glu Asp Lys Hamming distance information content information theory iso-1-cytochrome Jukes Leu Cys Phe Leu Cys Trp Lys Arg Val Markov process Mathematical Appendix matrix measure molecular biology molecules mRNA mutations mutual entropy non-sense codons nucleotides number of sequences Oparin organisms origin Phage prebiotic probability vector Protein Information Resource protein sequences redundance Schopf second extension Section sense code letters Shannon entropy Table Theorem Thr Asn Glu Thr Gin Asn Urschleim Val He Leu Yockey