Modelling in Molecular Biology
Editat de Gabriel Ciobanu, Grzegorz Rozenbergen Limba Engleză Hardback – 2 iul 2004
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Specificații
ISBN-13: 9783540407997
ISBN-10: 3540407995
Pagini: 316
Ilustrații: X, 305 p.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.64 kg
Ediția:2004
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540407995
Pagini: 316
Ilustrații: X, 305 p.
Dimensiuni: 160 x 241 x 22 mm
Greutate: 0.64 kg
Ediția:2004
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Stoichiometric Foundation of Large-Scale Biochemical System Analysis.- Modelling Stochastic Clonal Interference.- Software Verification of Biomolecular Systems.- Kinetic Modelling as a Modern Technology to Explore and Modify Living Cells.- Modelling Gene Assembly in Ciliates.- Towards Molecular Programming — a Personal Report on DNA8 and Molecular Computing.- Molecular Information Theory: Solving the Mysteries of DNA.- Formal Modelling of C. elegans Development. A Scenario-Based Approach.- P Systems with Symport/Antiport Rules. A Survey.- Mathematical Modelling of the Immune System.- The ?-calculus as an Abstraction for Biomolecular Systems.- The Topology of Evolutionary Biology.- Models of Genome Evolution.
Notă biografică
G. Ciobanu is Professor at the Romanian Academy, Institute of Computer Science and has received the first "Grigore Moisil" award for theoretical computer science offered by the Romanian Academy. Over 60 papers published in international journals.
G. Rozenberg is multiple Springer author and editor of books and series (EATCS, NCS).
G. Rozenberg is multiple Springer author and editor of books and series (EATCS, NCS).
Textul de pe ultima copertă
This volume consists of papers concerned with models and methods used in solving some fundamental problems of biosciences. They represent a wide spectrum of diverse ideas and trends. In particular, they reflect the genuinely interdisciplinary nature of research on modelling in molecular biology – the inspiration, ideas and techniques presented in this volume come from mathematics, computer science, statistics, chemistry and biology.
Caracteristici
A collection of chapters presenting some possible approaches of modelling in molecular biology Describes how to find regularities among empirical data, as well as conceptual models and theories Includes supplementary material: sn.pub/extras