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Natural Computing Ser.: Theoretical and Experimental DNA Computation by Martyn Amos (2005, Hardcover)
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About this product
Product Identifiers
PublisherSpringer Berlin / Heidelberg
ISBN-103540657738
ISBN-139783540657736
eBay Product ID (ePID)1647950
Product Key Features
Number of PagesXiii, 173 Pages
Publication NameTheoretical and Experimental D N A Computation
LanguageEnglish
Publication Year2005
SubjectLife Sciences / Biochemistry, Computer Science, Life Sciences / Genetics & Genomics, Life Sciences / Biology
TypeTextbook
Subject AreaComputers, Science
AuthorMartyn Amos
SeriesNatural Computing Ser.
FormatHardcover
Dimensions
Item Height0.2 in
Item Weight16 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2004-116588
Dewey Edition22
ReviewsFrom the reviews: "Biomolecular computing, also known as DNA computing, has been a subject of research and scientific conversations for little over a decade. a? Amos has made an effort to bring a? the book closer to both theoreticians and the experimentalists. a? I found Amosa's writing style very forthcoming, clear and friendly. It was a pleasure to read the book. a? Any graduate student or a researcher without prior knowledge about biomolecular computing a? will find this book informative, and a great introduction to the subject." (Nata?!a Jonoska, Genetic Programming and Evolvable Machines, Vol. 7, 2006), 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." (Natasa 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), 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." (Nataša 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), 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." (Nata'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)
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal572.8/633
Table Of ContentDNA: The Molecule of Life.- Theoretical Computer Science: A Primer.- Models of Molecular Computation.- Complexity Issues.- Physical Implementations.- Cellular Computing.
SynopsisDNA computation has emerged in the last ten years as an exciting new - search ?eld at the intersection (and, some would say, frontiers) of computer science, biology, engineering, andmathematics.AlthoughanticipatedbyFe- man as long ago as the 1950s [59], the notion of performing computations at a molecular level was only realized in 1994, with Adleman's seminal work [3] on computing with DNA. Since then the ?eld has blossomed rapidly, with signi?cant theoretical and experimental results being reported regularly. Several books [120, 39] have described various aspects of DNA compu- tion, but this is, to the author's best knowledge, the ?rst to bring together descriptions of both theoreticaland experimentalresults.The targetaudience is intentionally broad, including students as well as experienced researchers. We expect that users of the book will have some background in either c- puter science, mathematics, engineering, or the life sciences. The intention is that this book be used as a tutorial guide for newcomers to the ?eld as well as a reference text for people already working in this fascinating area. To this end, we include two self-contained tutorial chapters (1 and 2), which convey only those aspects of computer science and biology that are required to understand the subsequent material., 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. It also provides a useful reference source for researchers and students, and an accessible introduction for people new to the field. The field of DNA computation has flourished since the publication of Adleman's seminal article, in which he demonstrated for the first time how a computation may be performed at a molecular level by performing standard operations on a tube of DNA strands. 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 future directions., DNA computation has emerged in the last ten years as an exciting new - search ?eld at the intersection (and, some would say, frontiers) of computer science,biology,engineering,andmathematics.AlthoughanticipatedbyFe- man as long ago as the 1950s [59], the notion of performing computations at a molecular level was only realized in 1994, with Adleman's seminal work [3] on computing with DNA. Since then the ?eld has blossomed rapidly, with signi?cant theoretical and experimental results being reported regularly. Several books [120, 39] have described various aspects of DNA compu- tion, but this is, to the author's best knowledge, the ?rst to bring together descriptions of both theoreticaland experimentalresults.The targetaudience is intentionally broad, including students as well as experienced researchers. We expect that users of the book will have some background in either c- puter science, mathematics, engineering, or the life sciences. The intention is that this book be used as a tutorial guide for newcomers to the ?eld as well as a reference text for people already working in this fascinating area. To this end, we include two self-contained tutorial chapters (1 and 2), which convey only those aspects of computer science and biology that are required to understand the subsequent material., DNA computation has emerged in the last ten years as an exciting new - search ?eld at the intersection (and, some would say, frontiers) of computer science, biology, engineering, andmathematics.AlthoughanticipatedbyFe- man as long ago as the 1950s 59], the notion of performing computations at a molecular level was only realized in 1994, with Adleman's seminal work 3] on computing with DNA. Since then the ?eld has blossomed rapidly, with signi'cant theoretical and experimental results being reported regularly. Several books 120, 39] have described various aspects of DNA compu- tion, but this is, to the author's best knowledge, the ?rst to bring together descriptions of both theoreticaland experimentalresults.The targetaudience is intentionally broad, including students as well as experienced researchers. We expect that users of the book will have some background in either c- puter science, mathematics, engineering, or the life sciences. The intention is that this book be used as a tutorial guide for newcomers to the ?eld as well as a reference text for people already working in this fascinating area. To this end, we include two self-contained tutorial chapters (1 and 2), which convey only those aspects of computer science and biology that are required to understand the subsequent material., Amos provides a broad overview of the entire field of DNA computation, tracing its history and development. He gives detailed descriptions of all major theoretical models and experimental results to date and discusses potential future developments. Amos concludes by outlining the challenges currently faced by researchers in the field., DNA computation has emerged in the last ten years as an exciting new - search ?eld at the intersection (and, some would say, frontiers) of computer science,biology,engineering,andmathematics.AlthoughanticipatedbyFe- man as long ago as the 1950s [59], the notion of performing computations at a molecular level was only realized in 1994, with Adleman's seminal work [3] on computing with DNA. Since then the ?eld has blossomed rapidly, with signi'cant theoretical and experimental results being reported regularly. Several books [120, 39] have described various aspects of DNA compu- tion, but this is, to the author's best knowledge, the ?rst to bring together descriptions of both theoreticaland experimentalresults.The targetaudience is intentionally broad, including students as well as experienced researchers. We expect that users of the book will have some background in either c- puter science, mathematics, engineering, or the life sciences. The intention is that this book be used as a tutorial guide for newcomers to the ?eld as well as a reference text for people already working in this fascinating area. To this end, we include two self-contained tutorial chapters (1 and 2), which convey only those aspects of computer science and biology that are required to understand the subsequent material.
LC Classification NumberQD415-436
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