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Dna Computing Models
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Book Synopsis DNA Computing Models by : Zoya Ignatova
Download or read book DNA Computing Models written by Zoya Ignatova and published by Springer Science & Business Media. This book was released on 2008-06-11 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sir Francis Crick would undoubtedly be at the front of the line ordering this fascinating book. Being one of the discoverers of DNA, he would be amazed at how his work has been applied to mankind's most important invention, the computer. In this excellent text, the reader is given a comprehensive introduction to the field of DNA computing. The book emphasizes computational methods to tackle central problems of DNA computing, such as controlling living cells, building patterns, and generating nanomachines. It also includes laboratory-scale human-operated models of computation, as well as a description of the first experiment of DNA computation conducted by Adleman in 1994.
Book Synopsis DNA Computing Models by : Zoya Ignatova
Download or read book DNA Computing Models written by Zoya Ignatova and published by Springer. This book was released on 2008-11-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sir Francis Crick would undoubtedly be at the front of the line ordering this fascinating book. Being one of the discoverers of DNA, he would be amazed at how his work has been applied to mankind's most important invention, the computer. In this excellent text, the reader is given a comprehensive introduction to the field of DNA computing. The book emphasizes computational methods to tackle central problems of DNA computing, such as controlling living cells, building patterns, and generating nanomachines. It also includes laboratory-scale human-operated models of computation, as well as a description of the first experiment of DNA computation conducted by Adleman in 1994.
Book Synopsis Theoretical and Experimental DNA Computation by : Martyn Amos
Download or read book Theoretical and Experimental DNA Computation written by Martyn Amos and published by Springer Science & Business Media. This book was released on 2005-10-17 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a broad overview of the entire field of DNA computation, tracing its history and development. It contains detailed descriptions of all major theoretical models and experimental results to date and discusses potential future developments. It concludes by outlining the challenges currently faced by researchers in the field. This book will be a useful reference for researchers and students, as well as an accessible introduction for those new to the field.
Book Synopsis DNA Computing and Molecular Programming by : Chris Thachuk
Download or read book DNA Computing and Molecular Programming written by Chris Thachuk and published by Springer. This book was released on 2019-07-30 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th International Conference on DNA Computing and Molecular Programming, DNA 25, held in Seattle, WA, USA, in August 2019. The 12 full papers presented were carefully selected from 19 submissions. The papers cover a wide range of topics relating to biomolecular computing such as 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, anddesign; synthetic biology and in vitro evolution; and applications in engineering, physics, chemistry, biology, and medicine.
Download or read book DNA Computing written by Junghuei Chen and published by Springer. This book was released on 2004-01-30 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomolecular computing is an interdisciplinary ?eld that draws together mol- ular biology, DNA nanotechnology, chemistry, physics, computer science and mathematics. Theannualinternationalmeeting onDNA-based computationhas been an exciting forum where scientists of di?erent backgrounds who share a common interest in biomolecular computing can meet and discuss their latest results. The central goal of this conference is to bring together experimentalists and theoreticians whose insights can calibrate each others' approaches. The 9th Annual International Meeting on DNA Based Computers was held during June 1-4, 2003 in the University of Wisconsin, Madison, USA. The meeting had 106 registered participants from 12 countries around the world. On the ?rst day of the meeting, we had three tutorials: the ?rst was on self-assembly of DNA nano structures which focused on the basic techniques of using designed DNA nano molecules to be self-assembled onto larger structures for computational purposes. This tutorial was given by Hao Yan of Duke U- versity. The second tutorial was given by Chengde Mao of Purdue University in which Dr. Mao presented basic DNA biochemistry that was designed for non experimentalists. The third tutorial was given by Max Garzon of the Univ- sity of Memphis. Dr. Garzon gave a lecture on computational complexity which was tailored for non-computer scientists. The next three days were for invited plenary lectures, and regular oral and poster presentations. Invited plenary l- turesweregivenbyHelenBermanofRutgersUniversity(USA),GiancarloMauri of the University of Milan (Italy), Guenter von Kiedrowski of Ruhr University (Germany), and Sorin Istrail of Celera/Applied Biosystems. Theorganizerssoughtto attractthemostsigni?cantrecentresearchwith the highestimpactonthedevelopmentofthediscipline.
Download or read book DNA Computing written by Junghuei Chen and published by Springer Science & Business Media. This book was released on 2004-02-18 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 9th International Workshop on DNA Based Computers, DNA9, held in Madison, Wisconsin, USA in June 2003. The 22 revised full papers presented were carefully selected during two rounds of reviewing and improvement from initially 60 submissions. The papers are organized in topical sections on new experiments and tools, theory, computer simulation and sequence design, self-assembly and autonomous molecular computation, experimental solutions, and new computing models.
Book Synopsis DNA Computing and Molecular Programming by : Robert Brijder
Download or read book DNA Computing and Molecular Programming written by Robert Brijder and published by Springer. This book was released on 2017-08-22 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis DNA Computing and Molecular Programming by : Yannick Rondelez
Download or read book DNA Computing and Molecular Programming written by Yannick Rondelez and published by Springer. This book was released on 2016-08-16 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 22nd International Conference on DNA Computing and Molecular Programming, DNA 22, held Munich, Germany, in September 16 The 11 full papers presented together with 10 invited and tutorial talks were carefully selected from 55 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
Book Synopsis DNA Computing by : Alessandra Carbone
Download or read book DNA Computing written by Alessandra Carbone and published by Springer. This book was released on 2006-07-29 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 11th International Workshop on DNA Based Computers, DNA11, held in London, ON, Canada, in June 2005. The 34 revised full papers presented were carefully selected during two rounds of reviewing and improvement from an initial total of 79 submissions. The wide-ranging topics include in vitro and in vivo biomolecular computation, algorithmic self-assembly, DNA device design, DNA coding theory, and membrane computing.
Download or read book DNA Computing written by Natasa Jonoska and published by Springer. This book was released on 2003-08-01 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on DNA-Based Computers, DNA7, held in Tampa, Florida, USA, in June 2001. The 26 revised full papers presented together with 9 poster papers were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on experimental tools, theoretical tools, probabilistic computational models, computer simulation and sequence design, algorithms, experimental solutions, nano-tech devices, biomimetic tools, new computing models, and splicing systems and membranes.
Download or read book DNA Computing written by Natasa Jonoska and published by Springer. This book was released on 2002-05-28 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on DNA-Based Computers, DNA7, held in Tampa, Florida, USA, in June 2001. The 26 revised full papers presented together with 9 poster papers were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on experimental tools, theoretical tools, probabilistic computational models, computer simulation and sequence design, algorithms, experimental solutions, nano-tech devices, biomimetic tools, new computing models, and splicing systems and membranes.
Book Synopsis DNA Computing Based Genetic Algorithm by : Jili Tao
Download or read book DNA Computing Based Genetic Algorithm written by Jili Tao and published by Springer Nature. This book was released on 2020-07-01 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier. It presents several DNA/RNA-based genetic algorithms and their modifications, which are tested using benchmarks, as well as detailed information on the implementation steps and program code. In addition to single-objective optimization, here genetic algorithms are also used to solve multi-objective optimization for neural network modeling, fuzzy control, model predictive control and PID control. In closing, new topics such as Q-learning and CNN are introduced. The book offers a valuable reference guide for researchers and designers in system modeling and control, and for senior undergraduate and graduate students at colleges and universities.
Book Synopsis A Handbook of DNA Computing by : N.B. Singh
Download or read book A Handbook of DNA Computing written by N.B. Singh and published by N.B. Singh. This book was released on with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A Handbook of DNA Computing" is an accessible and comprehensive guide tailored for absolute beginners, offering an illuminating journey into the fascinating realm of DNA computing. Designed to demystify complex concepts, this handbook introduces readers to the fundamentals of DNA computing in a clear and engaging manner, making it suitable for newcomers to the field. From understanding the basics of DNA structure and manipulation to exploring cutting-edge applications and ethical considerations, this book provides a solid foundation for readers to grasp the principles, potential, and ethical implications of DNA computing. With a focus on simplicity and clarity, this handbook aims to empower readers with the knowledge and confidence to navigate the intricate landscape of DNA computing with ease.
Download or read book DNA Computing written by Chengde Mao and published by Springer. This book was released on 2006-12-15 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed postproceedings of the 12th International Meeting on DNA Computing, DNA12, held in Seoul, Korea in June 2006. The 34 revised full papers presented are organized in topical sections on molecular and membrane computing models, complexity analysis, sequence and tile designs and their properties, DNA tile self-assembly models, simulator and software for DNA computing, DNA computing algorithms and new applications, novel experimental approaches, and experimental solutions.
Book Synopsis Handbook of Natural Computing by : Grzegorz Rozenberg
Download or read book Handbook of Natural Computing written by Grzegorz Rozenberg and published by Springer. This book was released on 2012-07-09 with total page 2052 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information processing. Examples of the first strand of research covered by the handbook include neural computation inspired by the functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata inspired by intercellular communication; swarm intelligence inspired by the behavior of groups of organisms; artificial immune systems inspired by the natural immune system; artificial life systems inspired by the properties of natural life in general; membrane computing inspired by the compartmentalized ways in which cells process information; and amorphous computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then molecular biology tools are used to transform the data, thus performing computations. In quantum computing, one exploits quantum-mechanical phenomena to perform computations and secure communications more efficiently than classical physics and, hence, traditional hardware allows. The second strand of research covered by the handbook, computation taking place in nature, is represented by investigations into, among others, the computational nature of self-assembly, which lies at the core of nanoscience, the computational nature of developmental processes, the computational nature of biochemical reactions, the computational nature of bacterial communication, the computational nature of brain processes, and the systems biology approach to bionetworks where cellular processes are treated in terms of communication and interaction, and, hence, in terms of computation. We are now witnessing exciting interaction between computer science and the natural sciences. While the natural sciences are rapidly absorbing notions, techniques and methodologies intrinsic to information processing, computer science is adapting and extending its traditional notion of computation, and computational techniques, to account for computation taking place in nature around us. Natural Computing is an important catalyst for this two-way interaction, and this handbook is a major record of this important development.
Book Synopsis Speed DNA Computing: A Formula Handbook by : N.B. Singh
Download or read book Speed DNA Computing: A Formula Handbook written by N.B. Singh and published by N.B. Singh. This book was released on with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Speed DNA Computing: A Formula Handbook" is an indispensable guide that condenses the realm of DNA computing into essential formulas for swift comprehension and application. Tailored for researchers, bioinformaticians, and enthusiasts in the field of DNA computing, this handbook provides a quick reference for key equations related to DNA-based algorithms, molecular computations, and bioinformatics. Covering essential principles with clarity and precision, the book facilitates a deeper understanding of this cutting-edge intersection of computer science and biology. With concise formulas, it serves as a valuable resource for those seeking to harness the speed and potential of DNA computing in solving complex computational problems.
Book Synopsis Biological Sequence Analysis by : Richard Durbin
Download or read book Biological Sequence Analysis written by Richard Durbin and published by Cambridge University Press. This book was released on 1998-04-23 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
