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Discrete and topological models in m...
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Jonoska, Natasa (1961-)
Discrete and topological models in molecular biology
紀錄類型:
書目-語言資料,印刷品 : 單行本
其他作者:
JonoskaNatasa, 1961-
其他作者:
SaitoMasahico, 1959-
出版地:
Heidelberg
出版者:
Springer;
出版年:
2014.
面頁冊數:
xiii, 524 p.ill. (some col.) : 24 cm.;
集叢名:
Natural Computing Series
標題:
Biomathematics. -
標題:
Computational biology. -
標題:
Computer science - Mathematics. -
標題:
Models, Theoretical. -
摘要註:
Theoretical tools and insights from discrete mathematics, theoretical computer science, and topology now play essential roles in our understanding of vital biomolecular processes. The related methods are now employed in various fields of mathematical biology as instruments to "zoom in" on processes at a molecular level. This book contains expository chapters on how contemporary models from discrete mathematics in domains such as algebra, combinatorics, and graph and knot theories can provide perspective on biomolecular problems ranging from data analysis, molecular and gene arrangements and structures, and knotted DNA embeddings via spatial graph models to the dynamics and kinetics of molecular interactions. The contributing authors are among theleading scientists in this field and the book is a reference for researchers in mathematics and theoretical computer science who are engaged with modeling molecular and biological phenomena using discrete methods. It may also serve as a guide and supplement for graduate courses in mathematical biology or bioinformatics, introducing nontraditional aspects of mathematical biology.
ISBN:
9783662514092
內容註:
Perspectives in Computational Genome Analysis The Sequence Reconstruction Problem Extracting Coevolving Characters from aTree of Species When and How the Perfect Phylogeny Model Explains Evolution An Invitation to the Study of Brain Networks with Some Statistical Analysis of Thresholding Techniques Simplicial Models and Topological Inference in Biological Systems Combinatorial Insights into RNA Secondary Structure Redundant and Critical Noncovalent Interactions in Protein Rigid Cluster Analysis Modeling Autonomous Supramolecular Assembly The Role of Symmetry in ConformationalChanges of Viral Capsids: A Mathematical Approach Minimal Tileand Bond-Edge Types for Self-Assembling DNA Graphs Programmed Genome Processing in Ciliates The Algebra of Gene Assembly in Ciliates Invariants of Graphs Modeling Nucleotide Rearrangements Introduction to DNA Topology Reactions Mediated by Topoisomerases and Other Enzymes: Modelling LocalisedDNA Transformations Site-Specific Recombination on Unknot and Unlink Substrates Producing Two-Bridge Links Site-Specific Recombination Modeled as a Band Surgery: Applications to Xer Recombination Understanding DNA Looping Through Cre-Recombination Kinetics The QSSA in Chemical Kinetics: As taught and as Practiced Algebraic Models and Their Use in Systems Biology Deconstructing Complex Nonlinear Models in System Design Space IBCell Morphocharts: A Computational Modelfor Linking Cell Molecular Activity with Emerging Tissue Morphology.
Discrete and topological models in molecular biology
Discrete and topological models in molecular biology
/ NatasaJonoska, Masahico Saito, editors. - Heidelberg : Springer, 2014.. - xiii, 524 p. ; ill. (some col.) ; 24 cm.. - (Natural Computing Series).
Perspectives in Computational Genome Analysis.
Includes bibliographical references..
ISBN 9783662514092ISBN 9783642401930ISBN 3642401937ISBN 3662514095
Biomathematics.Computational biology.Computer scienceModels, Theoretical. -- Mathematics.
Jonoska, Natasa
Discrete and topological models in molecular biology
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Perspectives in Computational Genome Analysis
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The Sequence Reconstruction Problem
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Extracting Coevolving Characters from aTree of Species
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When and How the Perfect Phylogeny Model Explains Evolution
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An Invitation to the Study of Brain Networks with Some Statistical Analysis of Thresholding Techniques
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Simplicial Models and Topological Inference in Biological Systems
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Combinatorial Insights into RNA Secondary Structure
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Redundant and Critical Noncovalent Interactions in Protein Rigid Cluster Analysis
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Modeling Autonomous Supramolecular Assembly
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The Role of Symmetry in ConformationalChanges of Viral Capsids: A Mathematical Approach
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Minimal Tileand Bond-Edge Types for Self-Assembling DNA Graphs
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Programmed Genome Processing in Ciliates
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The Algebra of Gene Assembly in Ciliates
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Invariants of Graphs Modeling Nucleotide Rearrangements
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Introduction to DNA Topology
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Reactions Mediated by Topoisomerases and Other Enzymes: Modelling LocalisedDNA Transformations
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Site-Specific Recombination on Unknot and Unlink Substrates Producing Two-Bridge Links
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Site-Specific Recombination Modeled as a Band Surgery: Applications to Xer Recombination
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Understanding DNA Looping Through Cre-Recombination Kinetics
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The QSSA in Chemical Kinetics: As taught and as Practiced
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Algebraic Models and Their Use in Systems Biology
$a
Deconstructing Complex Nonlinear Models in System Design Space
$a
IBCell Morphocharts: A Computational Modelfor Linking Cell Molecular Activity with Emerging Tissue Morphology.
330
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Theoretical tools and insights from discrete mathematics, theoretical computer science, and topology now play essential roles in our understanding of vital biomolecular processes. The related methods are now employed in various fields of mathematical biology as instruments to "zoom in" on processes at a molecular level. This book contains expository chapters on how contemporary models from discrete mathematics in domains such as algebra, combinatorics, and graph and knot theories can provide perspective on biomolecular problems ranging from data analysis, molecular and gene arrangements and structures, and knotted DNA embeddings via spatial graph models to the dynamics and kinetics of molecular interactions. The contributing authors are among theleading scientists in this field and the book is a reference for researchers in mathematics and theoretical computer science who are engaged with modeling molecular and biological phenomena using discrete methods. It may also serve as a guide and supplement for graduate courses in mathematical biology or bioinformatics, introducing nontraditional aspects of mathematical biology.
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