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, which are lacking in existing texts, and discusses potential future developments. This monograph provides a detailed survey of the field, before describing recent theoretical and experimental developments. It concludes by outlining the challenges faced by researchers in the field and suggests possible directions that future may take.
From the reviews: "Biomolecular computing, also known as DNA computing, has been a subject of research and scientific conversations for little over a decade. ! Amos has made an effort to bring ! the book closer to both theoreticians and the experimentalists. ! I found Amos's writing style very forthcoming, clear and friendly. It was a pleasure to read the book. ! Any graduate student or a researcher without prior knowledge about biomolecular computing ! will find this book informative, and a great introduction to the subject." (NataA!a Jonoska, Genetic Programming and Evolvable Machines, Vol. 7, 2006) "Amos describes the major theoretical models in common usage, and reports on the experimental implementations thereof. ! the value of this book is twofold. First, it serves as a good primer on this emerging field for the novice reader. Second, it provides an account of the author's contributions to the field ! . I would recommend the book to researchers in the field, and to graduate students ! as well as to those readers who are simply interested in the topic." (John Fulcher, Computing Reviews, April, 2006) "The book is an overview of DNA computing. It touches both theoretical and experimental aspects. ! The book is a good introduction to DNA computing for both new researchers, and readers having general interests." (Maulik S. Dave, SIGACT News, Vol. 39 (2), 2008)
Introduction.- 1. DNA: The Molecule of Life.- 2. Theoretical Computer Science: A Primer.- 3. Models of Molecular Computation.- 4. Complexity Issues.- 5. Physical Implementations.- 6. Cellular Computing.- References.- Index.
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