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DNA Computing and Molecular Programming

24th International Conference, DNA 24, Jinan, China, October 8–12, 2018, Proceedings

  • David Doty
  • Hendrik Dietz
Conference proceedings DNA 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11145)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 11145)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Open image in new window: Molecular Programming Language
    Marko Vasic, David Soloveichik, Sarfraz Khurshid
    Pages 1-18
  3. Erik D. Demaine, Jacob Hendricks, Meagan Olsen, Matthew J. Patitz, Trent A. Rogers, Nicolas Schabanel et al.
    Pages 19-36
  4. Kendall Stewart, Yuan-Jyue Chen, David Ward, Xiaomeng Liu, Georg Seelig, Karin Strauss et al.
    Pages 55-70
  5. Jacob Hendricks, Joseph Opseth, Matthew J. Patitz, Scott M. Summers
    Pages 87-104
  6. Jérôme Durand-Lose, Jacob Hendricks, Matthew J. Patitz, Ian Perkins, Michael Sharp
    Pages 105-121
  7. Robert Gmyr, Kristian Hinnenthal, Irina Kostitsyna, Fabian Kuhn, Dorian Rudolph, Christian Scheideler et al.
    Pages 122-138
  8. Yo-Sub Han, Hwee Kim, Shinnosuke Seki
    Pages 139-154
  9. Cameron Chalk, Austin Luchsinger, Eric Martinez, Robert Schweller, Andrew Winslow, Tim Wylie
    Pages 155-172
  10. Yo-Sub Han, Hwee Kim
    Pages 173-188
  11. Muppirala Viswa Virinchi, Abhishek Behera, Manoj Gopalkrishnan
    Pages 189-207
  12. Back Matter
    Pages 209-209

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 24th International Conference on DNA Computing and Molecular Programming, DNA 24, held in Jinan, China, in October 2018.

The 12 full papers presented were carefully selected from 14 submissions. Research in DNA computing aims to draw together mathematics, computer science, physics, chemistry, biology, and nanotechnology to address the analysis, design, and synthesis of information-based molecular systems. The papers were sought in all areas related to biomolecular computing, including: algorithms and models for computation on biomolecular systems; computational processes in vitro and in vivo; molecular switches, gates, devices, and circuits; molecular folding and self-assembly of nanostructures; analysis and theoretical models of laboratory techniques; molecular motors and molecular robotics; information storage; studies of fault tolerance and error correction; software tools for analysis, simulation, and design; synthetic biology and in vitro evolution; and applications in engineering, physics, chemistry, biology, and medicine.

Keywords

artificial intelligence automata theory bioinformatics cellular automata communication channels (information theory) content-based retrieval content-based image retrieval finite automata hardware image processing image quality image segmentation information retrieval multiple robot optical resolving power query images robot learning robotics semantics super-resolution

Editors and affiliations

  1. 1.University of CaliforniaDavisUSA
  2. 2.Technical University MunichGarchingGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-00030-1
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-00029-5
  • Online ISBN 978-3-030-00030-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site