DNA Computing and Molecular Programming 23rd International Conference, DNA 23, Austin, TX, USA, September 24–28, 2017, Proceedings /

DNA Computing and Molecular Programming 23rd International Conference, DNA 23, Austin, TX, USA, September 24–28, 2017, Proceedings / [electronic resource] : edited by Robert Brijder, Lulu Qian. - 1st ed. 2017. - XII, 267 p. 76 illus. online resource. - Theoretical Computer Science and General Issues, 10467 2512-2029 ; . - Theoretical Computer Science and General Issues, 10467 .

Algorithms and models for computation with biomolecular systems -- Computational processes in vitro  and in vivo -- Molecular motors and molecular robotics -- Studies of fault-tolerance and error correction -- Software tools for analysis, simulation, and design -- Synthetic biology and in vitro evolution -- Applications in engineering, physics, chemistry,  biology, and medicine.

This book constitutes the refereed proceedings of the 23th International Conference on DNA Computing and Molecular Programming, DNA 23, held Austin, TX, USA, in September 2017. The 16 full papers presented were carefully selected from 23 submissions. Research in DNA computing aims to draw together mathematics, computerscience, physics, chemistry, biology, and nanotechnology to address the analysis, design, and synthesis of information-based molecular systems. The papers address all areas related to biomolecular computing such as: algorithms and models for computation with biomolecular systems; computational processes in vitro and in vivo; molecular motors and molecular robotics; studies of fault-tolerance and error correction; software tools for analysis, simulation, and design; synthetic biology and in vitro evolution; applications in engineering, physics, chemistry, biology, and medicine.  .

9783319667997

10.1007/978-3-319-66799-7 doi


Computer science.
Algorithms.
Bioinformatics.
Artificial intelligence.
Artificial intelligence--Data processing.
Computer science--Mathematics.
Discrete mathematics.
Theory of Computation.
Algorithms.
Computational and Systems Biology.
Artificial Intelligence.
Data Science.
Discrete Mathematics in Computer Science.

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