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BIOLOGICAL INFO: NEW PRSPCTVS - PROCEEDNGS OF SYMPOSIUM

Life Science

Mathematics & Science

Biology

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In the spring of 2011, a diverse group of scientists gathered at Cornell University to discuss their research into the nature and origin of biological information. This symposium brought together experts in information theory, computer science, numerical simulation, thermodynamics, evolutionary theory, whole organism biology, developmental biology, molecular biology, genetics, physics, biophysics, mathematics, and linguistics. This volume presents new research by those invited to speak at the conference.

Biological Information

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POST SECONDARY FOUR YEAR

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Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Biological Information &#x2014; New Perspectives.
Contents.
Acknowledgements.
General Introduction.
1: Information Theory &#x0026; Biology: Introductory Comments.
2: 1.1.1: Biological Information &#x2014; What Is It?.
3: 1.1.2: A General Theory of Information Cost Incurred by Successful Search.
4: 1.1.3: Pragmatic Information.
5: 1.2.1: Limits of Chaos and Progress in Evolutionary Dynamics.
6: 1.2.2: Tierra: The Character of Adaptation.
7: 1.2.3: Multiple Overlapping Genetic Codes Profoundly Reduce the Probability of Beneficial Mutation.
8: 1.3.1: Entropy, Evolution and Open Systems.
9: 1.3.2: Information and Thermodynamics in Living Systems.
10: Biological Information and Genetic Theory: Introductory Comments.
11: 2.1: Not Junk after All: Non-Protein-Coding DNA Carries Extensive Biological Information.
12: 2.2: Can Purifying Natural Selection Preserve Biological Information?.
13: 2.3: Selection Threshold Severely Constrains Capture of Beneficial Mutations.
14: 2.4: Using Numerical Simulation to Test the &#x201C;Mutation-Count&#x201D; Hypothesis.
15: 2.5: Can Synergistic Epistasis Halt Mutation Accumulation? Results from Numerical Simulation.
16: 2.6: Computational Evolution Experiments Reveal a Net Loss of Genetic Information Despite Selection.
17: 2.7: Information Loss: Potential for Accelerating Natural Genetic Attenuation of Rna Viruses.
18: 2.8: DNA.EXE: A Sequence Comparison between the Human Genome and Computer Code.
19: 2.9: Biocybernetics and Biosemiosis.
20: Theoretical Molecular Biology: Introductory Comments.
21: 3.1: An Ode to the Code: Evidence for Fine-Tuning in the Standard Codon Table.
22: 3.2: A New Model of Intracellular Communication Based on Coherent, High-Frequency Vibrations in Biomolecules.
23: 3.3: Getting There First: An Evolutionary Rate Advantage for Adaptive Loss-of-Function Mutations.
24: 3.4: The Membrane Code: A Carrier of Essential Biological Information That Is Not Specified by Dna and Is Inherited Apart from It.
25: 3.5: Explaining Metabolic Innovation: Neo-Darwinism versus Design.
26: Biological Information and Self-Organizational Complexity Theory: Introductory Comments.
27: 4.1: Evolution beyond Entailing Law: The Roles of Embodied Information and Self Organization.
28: 4.2: Towards a General Biology: Emergence of Life and Information from the Perspective of Complex Systems Dynamics.
Index.

Biological Information.css-1p8rvzy{position:absolute;padding-left:8px;}

Biological Information