MTU Cork Library Catalogue

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Computational modeling of genetic and biochemical networks / edited by James M. Bower and Hamid Bolouri.

Contributor(s): Bower, James M | Bolouri, Hamid.
Material type: materialTypeLabelBookSeries: Computational molecular biology series: Publisher: Cambridge, MA : MIT Press, 2001Description: xx, 336 p., [18] p. plates : ill.(some col.) ; 24 cm.ISBN: 0262024810.Subject(s): Biochemistry -- Mathematical models | Molecular biology -- Mathematical modelsDDC classification: 572.015118
Contents:
Introduction: Understanding living systems -- I Modeling genetic networks: Modeling the activity of single genes / Michael Andrew Gibson and Eric Mjolsness -- A probabilistic model of a prokaryotic gene and its regulation / Michael Andrew Gibson and Jehoshua Bruck -- A logical model of cis-regulatory control in a eukaryotic system / Chiou-Hwa Yuh, Hamid Bolouri, James M. Bower and Eric H. Davidson -- Trainable gene regulation networks with application to drosophilia pattern formation / Eric Mjolsness -- Genetic network inference in computational models and applications to large-scale gene expression data / Roland Somogyi, Stefanie Fuhrman and Xiling Wen -- II Modeling biochemical networks: Atomic-level simulation and modeling of biomacromolecules / Nagarajan Vaidehi and William A. Goddard III -- Diffusion / Guy Bormann, Fons Brosens and Erik De Schutter -- Kinetic models of excitable membranes and synaptic interactions / Alain Destexhe -- Stochastic simulation of cell signaling pathways / Carl A. J. M. Firth and Dennis Bray -- Analysis of complex dynamics in cell cycle regulation / John J. Tyson, Mark T. Borisuk, Kathy Chen and Bela Novak -- Simplifying and reducing complex models / Bard Ermentrout.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 572.015118 (Browse shelf(Opens below)) 1 Available 00091828
Total holds: 0

Enhanced descriptions from Syndetics:

The advent of ever more sophisticated molecular manipulation techniques has made it clear that cellular systems are far more complex and dynamic than previously thought. At the same time, experimental techniques are providing an almost overwhelming amount of new data. It is increasingly apparent that linking molecular and cellular structure to function will require the use of new computational tools.

"A Bradford book.".

Includes bibliographical references and index.

Introduction: Understanding living systems -- I Modeling genetic networks: Modeling the activity of single genes / Michael Andrew Gibson and Eric Mjolsness -- A probabilistic model of a prokaryotic gene and its regulation / Michael Andrew Gibson and Jehoshua Bruck -- A logical model of cis-regulatory control in a eukaryotic system / Chiou-Hwa Yuh, Hamid Bolouri, James M. Bower and Eric H. Davidson -- Trainable gene regulation networks with application to drosophilia pattern formation / Eric Mjolsness -- Genetic network inference in computational models and applications to large-scale gene expression data / Roland Somogyi, Stefanie Fuhrman and Xiling Wen -- II Modeling biochemical networks: Atomic-level simulation and modeling of biomacromolecules / Nagarajan Vaidehi and William A. Goddard III -- Diffusion / Guy Bormann, Fons Brosens and Erik De Schutter -- Kinetic models of excitable membranes and synaptic interactions / Alain Destexhe -- Stochastic simulation of cell signaling pathways / Carl A. J. M. Firth and Dennis Bray -- Analysis of complex dynamics in cell cycle regulation / John J. Tyson, Mark T. Borisuk, Kathy Chen and Bela Novak -- Simplifying and reducing complex models / Bard Ermentrout.

Table of contents provided by Syndetics

  • Foreword
  • Acknowledgments
  • Introduction: Understanding Living Systems
  • I Modeling Genetic Networks
  • 1 Modeling the Activity of Single Genes
  • 2 A Probabilistic Model of a Prokaryotic Gene and Its Regulation
  • 3 A Logical Model of cis-Regulatory Control in a Eukaryotic System
  • 4 Trainable Gene Regulation Networks with Application to Drosophila Pattern Formation
  • 5 Genetic Network Inference in Computational Models and Applications to Large-Scale Gene Expression Data
  • II Modeling Biochemical Networks
  • 6 Atomic-Level Simulation and Modeling of Biomacromolecules
  • 7 Diffusion
  • 8 Kinetic Models of Excitable Membranes and Synaptic Interactions
  • 9 Stochastic Simulation of Cell Signaling Pathways
  • 10 Analysis of Complex Dynamics in Cell Cycle Regulation
  • 11 Simplifying and Reducing Complex Models
  • Contributors
  • Index

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