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DNA Computing

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Cover of 'DNA Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Engineered communications for microbial robotics
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    Chapter 2 Successive state transitions with I/O interface by molecules
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    Chapter 3 Solution of a satisfiability problem on a gel-based DNA computer
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    Chapter 4 Diophantine equations and splicing: A new demonstration of the generative capability of H systems
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    Chapter 5 About time-varying distributed H systems
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    Chapter 6 String tile models for DNA computing by self-assembly
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    Chapter 7 From molecular computing to molecular programming
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    Chapter 8 Graph replacement chemistry for DNA processing
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    Chapter 9 DNA and circular splicing?
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    Chapter 10 Molecular computing with generalized homogeneous P-systems
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    Chapter 11 Computationally inspired biotechnologies: Improved DNA synthesis and associative search using Error-Correcting Codes and Vector-Quantization?
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    Chapter 12 Challenges and applications for self-assembled DNA nanostructures?
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    Chapter 13 A space-efficient randomized DNA algorithm for k -SAT
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    Chapter 14 A DNA-based random walk method for solving k -SAT
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    Chapter 15 Solving computational learning problems of Boolean formulae on DNA computers
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    Chapter 16 The fidelity of annealing-ligation: A theoretical analysis
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    Chapter 17 DNA implementation of a Royal Road fitness evaluation
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    Chapter 18 Steady flow micro-reactor module for pipelined DNA computations
Attention for Chapter 7: From molecular computing to molecular programming
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Citations

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Chapter title
From molecular computing to molecular programming
Chapter number 7
Book title
DNA Computing
Published by
Springer, Berlin, Heidelberg, June 2000
DOI 10.1007/3-540-44992-2_7
Book ISBNs
978-3-54-042076-7, 978-3-54-044992-8
Authors

Masami Hagiya, Hagiya, Masami

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 9%
Netherlands 1 9%
United States 1 9%
Unknown 8 73%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Professor 2 18%
Student > Ph. D. Student 2 18%
Researcher 2 18%
Student > Master 1 9%
Other 1 9%
Readers by discipline Count As %
Computer Science 6 55%
Engineering 4 36%
Biochemistry, Genetics and Molecular Biology 1 9%