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Author: Matthew Simon
Publisher: Springer Science & Business Media
ISBN: 9780387220468
Category : Computers
Languages : en
Pages : 450
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Book Description
Emergent Computation is concerned with recent applications of Mathematical Linguistics or Automata Theory. This subject has a primary focus upon "Bioinformatics" (the Genome and arising interest in the Proteome), but the closing chapter also examines applications in Biology, Medicine, Anthropology, etc. The book is composed of an organized examination of DNA, RNA, and the assembly of amino acids into proteins. Rather than examine these areas from a purely mathematical viewpoint (that excludes much of the biochemical reality), the author uses scientific papers written mostly by biochemists based upon their laboratory observations. Thus while DNA may exist in its double stranded form, triple stranded forms are not excluded. Similarly, while bases exist in Watson-Crick complements, mismatched bases and abasic pairs are not excluded, nor are Hoogsteen bonds. Just as there are four bases naturally found in DNA, the existence of additional bases is not ignored, nor amino acids in addition to the usual complement of 20. Can there be more than "64" possible codons? RNA is examined from the point of view of Nussinov plots. All information is presented from the point of view of regular, context-free, and context sensitive languages, as well as Turing machines and Sequential Machines (and their corresponding semi-groups). Relationships to other subjects of mathematics such as Complex numbers, Quaternions, Algebraic-Topology, and Knot Theory are also mentioned. An examination is made of Splicing Systems as well as Dominoes. Shortcomings illustrating the dangers of mathematical abstractions that ignore biochemistry are pointed out. The papers examine the subjects of interest from the point of view of applying language theory to search for new results, but also as biological-automatons (implementations or machines) to do calculations. This book will be of value to those studying Bioinformatics, Biochemistry, Computer-Science, Mathematical Linguistics, and Biology, as well as Pharmacology (with the possible promise of medically active artificial DNA, RNA, and proteins). Laboratory results to demonstrate the usefulness of the topics discussed are demonstrated both in vitro and in vivo.
Author: Matthew Simon
Publisher: Springer Science & Business Media
ISBN: 9780387220468
Category : Computers
Languages : en
Pages : 450
Get Book Here
Book Description
Emergent Computation is concerned with recent applications of Mathematical Linguistics or Automata Theory. This subject has a primary focus upon "Bioinformatics" (the Genome and arising interest in the Proteome), but the closing chapter also examines applications in Biology, Medicine, Anthropology, etc. The book is composed of an organized examination of DNA, RNA, and the assembly of amino acids into proteins. Rather than examine these areas from a purely mathematical viewpoint (that excludes much of the biochemical reality), the author uses scientific papers written mostly by biochemists based upon their laboratory observations. Thus while DNA may exist in its double stranded form, triple stranded forms are not excluded. Similarly, while bases exist in Watson-Crick complements, mismatched bases and abasic pairs are not excluded, nor are Hoogsteen bonds. Just as there are four bases naturally found in DNA, the existence of additional bases is not ignored, nor amino acids in addition to the usual complement of 20. Can there be more than "64" possible codons? RNA is examined from the point of view of Nussinov plots. All information is presented from the point of view of regular, context-free, and context sensitive languages, as well as Turing machines and Sequential Machines (and their corresponding semi-groups). Relationships to other subjects of mathematics such as Complex numbers, Quaternions, Algebraic-Topology, and Knot Theory are also mentioned. An examination is made of Splicing Systems as well as Dominoes. Shortcomings illustrating the dangers of mathematical abstractions that ignore biochemistry are pointed out. The papers examine the subjects of interest from the point of view of applying language theory to search for new results, but also as biological-automatons (implementations or machines) to do calculations. This book will be of value to those studying Bioinformatics, Biochemistry, Computer-Science, Mathematical Linguistics, and Biology, as well as Pharmacology (with the possible promise of medically active artificial DNA, RNA, and proteins). Laboratory results to demonstrate the usefulness of the topics discussed are demonstrated both in vitro and in vivo.
Author: Bjorn Olsson
Publisher: World Scientific
ISBN: 9814545600
Category :
Languages : en
Pages : 312
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Book Description
This volume contains papers presented at the BCEC97 conference, held in Skövde, Sweden, in September 1997. The conference brought together researchers from biology and computer science to discuss the use of computational techniques in biology, as well as the use of biological metaphors in computing. Examples of the work presented in these papers include computer simulations of embryogenesis; algorithms for protein folding prediction; problem solving using DNA computation; neural-network learning in retina implants; and optimisation algorithms inspired by natural evolution.
Author: Dan Lundh
Publisher: World Scientific Publishing Company Incorporated
ISBN: 9789810232627
Category : Science
Languages : en
Pages : 299
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Book Description
This volume contains papers presented at the BCEC97 conference, held in Skovde, Sweden, in September 1997. The conference brought together researchers from biology and computer science to discuss the use of computational techniques in biology, as well as the use of biological metaphors in computing. Examples of the work presented in these papers include computer simulations of embryogenesis; algorithms for protein folding prediction; problem solving using DNA computation; neural-network learning in retina implants; and optimisation algorithms inspired by natural evolution.
Author: Björn Olsson
Publisher:
ISBN: 9789814529242
Category : NATURE
Languages : en
Pages : 312
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Book Description
Author:
Publisher:
ISBN: 9789810232627
Category : Biology
Languages : en
Pages : 299
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Book Description
Author: Ehud Lamm
Publisher: CRC Press
ISBN: 1420087967
Category : Mathematics
Languages : en
Pages : 332
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Book Description
The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book
Author: Stefan Wermter
Publisher: Springer
ISBN: 3540445978
Category : Computers
Languages : en
Pages : 587
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Book Description
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
Author: R. Paton
Publisher: Springer Science & Business Media
ISBN: 3662063697
Category : Computers
Languages : en
Pages : 349
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Book Description
The field of biologically inspired computation has coexisted with mainstream computing since the 1930s, and the pioneers in this area include Warren McCulloch, Walter Pitts, Robert Rosen, Otto Schmitt, Alan Turing, John von Neumann and Norbert Wiener. Ideas arising out of studies of biology have permeated algorithmics, automata theory, artificial intelligence, graphics, information systems and software design. Within this context, the biomolecular, cellular and tissue levels of biological organisation have had a considerable inspirational impact on the development of computational ideas. Such innovations include neural computing, systolic arrays, genetic and immune algorithms, cellular automata, artificial tissues, DNA computing and protein memories. With the rapid growth in biological knowledge there remains a vast source of ideas yet to be tapped. This includes developments associated with biomolecular, genomic, enzymic, metabolic, signalling and developmental systems and the various impacts on distributed, adaptive, hybrid and emergent computation. This multidisciplinary book brings together a collection of chapters by biologists, computer scientists, engineers and mathematicians who were drawn together to examine the ways in which the interdisciplinary displacement of concepts and ideas could develop new insights into emerging computing paradigms. Funded by the UK Engineering and Physical Sciences Research Council (EPSRC), the CytoCom Network formally met on five occasions to examine and discuss common issues in biology and computing that could be exploited to develop emerging models of computation.
Author: Phillip A. Laplante
Publisher: Nova Publishers
ISBN: 9781590338896
Category : Computers
Languages : en
Pages : 130
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Book Description
Since the mid-1990s advances in DNA sequencing have enhanced our understanding of humanity and all living things. Driven by these advances, the closely related sciences of Bioinformatics and Biocomputing have become the ultimate interdisciplinary study areas, forever blurring the lines between engineering, biology and computer science and bringing together researchers who ordinarily wouldn't interact. While Bioinformatics largely focuses on the analysis, prediction, imaging and sequencing of genes, the broader, interdisciplinary field of Biocomputing includes the study of biological models of computing using traditional materials, genomic modelling and visualisation, biomaterials for non-traditional computer designs and computer architectures for those materials. In addition, Biocomputing uses the principles and tools of computer science to model or algorithmically specify complex biological information systems and computational systems with life-like capabilities. Biocomputing has manifested numerous government multi-agency programs, including the Human Genome Project, the High Performance Computing & Communications (HPCC) initiative, the Human Brain Project, and other related programs such as the National Information Infrastructure and Digital Libraries initiatives, which have strong bio-related components. This book brings together the latest research in this fast-growing field.
Author: Stefan Wermter
Publisher: Springer
ISBN: 9783540423638
Category : Computers
Languages : en
Pages : 582
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Book Description
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
