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Evolution as Computation

Overview of attention for book
Cover of 'Evolution as Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Genome System Architecture and Natural Genetic Engineering
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    Chapter 2 Evolutionary Computation as a Paradigm for DNA-Based Computing
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    Chapter 3 Evolution at the Edge of Chaos: A Paradigm for the Maturation of the Humoral Immune Response
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    Chapter 4 The Evolutionary Unfolding of Complexity
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    Chapter 5 Genetic Programming: Biologically Inspired Computation That Creatively Solves Non-trivial Problems
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    Chapter 6 Is Ours the Best of All Possible Codes?
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    Chapter 7 The Impact of Message Mutation on the Fitness of a Genetic Code
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    Chapter 8 Genetic Code Evolution in the RNA World and Beyond
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    Chapter 9 Imposing Specificity by Localization: Mechanism and Evolvability
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    Chapter 10 Towards a Predictive Biology: The Example of Bacteriophage T7
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    Chapter 11 Using Artificial Reagents to Dissect Cellular Genetic Networks
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    Chapter 12 Computational Aspects of Gene (Un)Scrambling in Ciliates
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    Chapter 13 Universal Molecular Computation in Ciliates
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    Chapter 14 Toward in vivo Digital Circuits
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    Chapter 15 Evolution of Genetic Organization in Digital Organisms
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    Chapter 16 Toward Code Evolution by Artificial Economies
Attention for Chapter 9: Imposing Specificity by Localization: Mechanism and Evolvability
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Citations

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Chapter title
Imposing Specificity by Localization: Mechanism and Evolvability
Chapter number 9
Book title
Evolution as Computation
Published by
Springer, Berlin, Heidelberg, January 2002
DOI 10.1007/978-3-642-55606-7_9
Book ISBNs
978-3-64-263081-1, 978-3-64-255606-7
Authors

Mark Ptashne, Alexander Gann

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 100%

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