Computational systems biology /
This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical s...
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Corporate Authors: | |
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Group Author: | ; |
Published: |
Elsevier/AP,
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Publisher Address: | Amsterdam : |
Publication Dates: | 2014. |
Literature type: | eBook |
Language: | English |
Edition: | Second edition. |
Subjects: | |
Online Access: |
http://www.sciencedirect.com/science/book/9780124059269 |
Summary: |
This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. Logical information flow aids understanding of basic building blocks of life through disease phenotypes. |
Carrier Form: | 1 online resource (xiii, 533 pages) |
Bibliography: | Includes bibliographical references and indexes. |
ISBN: |
9780124059382 0124059384 9781306183932 1306183936 0124059260 9780124059269 |
Index Number: | QH324 |
CLC: | Q-332 |
Contents: |
Introducing Computational Systems Biology / Structural Systems Biology: Modeling Interactions and Networks for Systems Studies / Understanding Principles of the Dynamic Biochemical Networks of Life Through Systems Biology / Biological Foundations of Signal Transduction, Systems Biology and Aberrations in Disease / Complexities in Quantitative Systems Analysis of Signaling Networks / Gene Networks: Estimation, Modeling, and Simulation / Reconstruction of Metabolic Network from Genome Information and its Structural and Functional Analysis / Standards, Platforms, and Applications / Databases, Standards, and Modeling Platforms for Systems Biology / Computational Models for Circadian Rhythms: Deterministic versus Stochastic Approaches / Top-Down Dynamical Modeling of Molecular Regulatory Networks / Discrete Gene Network Models for Understanding Multicellularity and Cell Reprogramming: From Network Structure to Attractor Landscapes Landscape / Stochastic Simulations of Cellular Processes: From Single Cells to Colonies / Advances in Machine Learning for Processing and Comparison of Metagenomic Data / Systems Biology of Infectious Diseases and Vaccines / Computational Modeling and Simulation of Animal Early Embryogenesis with the MecaGen Platform / Developing a Systems Biology of Aging / Molecular Correlates of Morphometric Subtypes in Glioblastoma Multiforme / Applications in Cancer Research: Mathematical Models of Apoptosis / |