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Life: An Introduction to Complex Systems Biology

What is life? Has molecular biology given us a satisfactory answer to this question? And if not, why, and how to carry on from there? This book examines life not from the reductionist point of view, but rather asks the question: what are the universal properties of living systems and how can one con...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kaneko, Kunihiko (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Understanding Complex Systems,
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Life: An Introduction to Complex Systems Biology  |h [electronic resource] /  |c by Kunihiko Kaneko. 
246 3 |a This title is included in the Springer Complexity programme. 
250 |a 1st ed. 2006. 
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300 |a XIV, 374 p.  |b online resource. 
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490 1 |a Understanding Complex Systems,  |x 1860-0840 
505 0 |a How Should Living Systems Be Studied? -- Constructive Biology -- Basic Concepts in Dynamical Systems and Statistical Physics for Biological System -- Origin of Bioinformation -- Origin of a Cell with Recursive Growth -- Universal Statistics of a Cell with Recursive Growth -- Cell Differentiation and Development -- Irreversible Differentiation from Stem Cell and Robust Development -- Pattern Formation and Origin of Positional Information -- Genetic Evolution with Phenotypic Fluctuations -- Speciation as a Fixation of Phenotypic Differentiation -- Conclusion. 
520 |a What is life? Has molecular biology given us a satisfactory answer to this question? And if not, why, and how to carry on from there? This book examines life not from the reductionist point of view, but rather asks the question: what are the universal properties of living systems and how can one construct from there a phenomenological theory of life that leads naturally to complex processes such as reproductive cellular systems, evolution and differentiation? The presentation has been deliberately kept fairly non-technical so as to address a broad spectrum of students and researchers from the natural sciences and informatics. 
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650 0 |a System theory. 
650 0 |a Artificial intelligence. 
650 0 |a Mathematics. 
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650 2 4 |a Complex Systems. 
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650 2 4 |a Applications of Mathematics. 
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