Editors:
- Fast track conference proceedings
- Unique visibility
- State of the art research
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6937)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): DNA: International Conference on DNA Computing and Molecular Programming
Conference proceedings info: DNA 2011.
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Table of contents (17 papers)
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Front Matter
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Contributed Papers
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Back Matter
About this book
The 12 revised full papers presented together with 5 invited talks were carefully selected from numerous submissions. Research in DNA computing and molecular programming draws together mathematics, computer science, physics, chemistry, biology, and nanotechnology to address the analysis, design, and synthesis of information-based molecular systems. This annual meeting is the premier forum where scientists with diverse backgrounds come together with the common purpose of advancing the engineering and science of biology and chemistry from the point of view of computer science, physics, and mathematics.
Editors and Affiliations
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Microsoft Research, Cambridge, UK
Luca Cardelli
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Department of Biological Chemistry and Molecular Pharmacology, Dana-Farber Cancer Institute, Boston, USA
William Shih
Bibliographic Information
Book Title: DNA Computing and Molecular Programming
Book Subtitle: 17th International Conference, DNA 17, Pasadena, CA, USA, September 19-23, 2011, Proceedings
Editors: Luca Cardelli, William Shih
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-23638-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-23637-2Published: 01 September 2011
eBook ISBN: 978-3-642-23638-9Published: 15 September 2011
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 217
Topics: Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Computational Biology/Bioinformatics, Artificial Intelligence, Data Structures, Discrete Mathematics in Computer Science