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Kurv
Systems Biology
SPAR
kr 216
Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, this textbook explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches.
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Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, this textbook explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches.
Produktdetaljer
Sprog: Engelsk
Sider: 550
ISBN-13: 9781107038851
Indbinding: Hardback
Udgave:
ISBN-10: 1107038855
Udg. Dato: 26 jan 2015
Længde: 30mm
Bredde: 257mm
Højde: 184mm
Oplagsdato: 26 jan 2015
Forfatter(e) Bernhard O. Palsson, Bernhard O. (University of California Palsson, Bernhard Ø. Palsson


Kategori Matematisk modellering


Sprog Engelsk


Indbinding Hardback


Sider 550


Udgave


Længde 30mm


Bredde 257mm


Højde 184mm

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