Introduction to Systems BiologySangdun Choi Springer Science & Business Media, 17.05.2008 - 542 Seiten Introduction to Systems Biology is an introductory text for undergraduate and graduate students who are interested in comprehensive biological systems. The authors provide a broad overview of the field using key examples and typical approaches to experimental design. The volume begins with an introduction to systems biology and then details experimental omics tools. Other sections introduce the reader to challenging computational approaches to help understand biological dynamic systems. The final sections of the volume provide ideas for theoretical and modeling optimization in systemic biological researches, presenting most algorithms as implementations, including an up-to-date full range of bioinformatic programs and available successful applications. Informative and cutting-edge, this volume presents a clear and intuitive illustration of the biological systemic approaches and introduces ideal computational methods for research. Introduction to Systems Biology is an indispensable resource, providing a first glimpse into the state-of-the-art in systems biology. |
Inhalt
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From Gene Expression to Metabolic Fluxes 377 | 37 |
Handling and Interpreting Gene Groups | 69 |
The Dynamic Transcriptome of Mice | 85 |
Dissecting Transcriptional Control Networks | 106 |
Reconstruction and Structural Analysis of Metabolic | 124 |
CrossSpecies Comparison Using Expression Data | 147 |
Mechanisms Generating Ultrasensitivity Bistability | 282 |
Employing Systems Biology to Quantify Receptor | 300 |
Dynamic Instabilities Within Living Neutrophils | 319 |
Efficiency Robustness and Stochasticity of Gene | 336 |
Applications Representation and Management | 372 |
SBML Models and MathSBML | 395 |
A Graphical Biological Network Editor | 422 |
An Algorithm for Inferring | 435 |
Methods for ProteinProtein Interaction Analysis | 160 |
GenomeScale Assessment of Phenotypic Changes | 183 |
Location Proteomics | 196 |
Reconstructing Transcriptional Networks Using | 217 |
Modeling Spatiotemporal Dynamics | 242 |
Kinetics of DimensionRestricted Conditions | 261 |
Systematic Determination of Biological Network | 449 |
Storing Searching and Disseminating Experimental | 472 |
Representing and Analyzing Biochemical Networks | 484 |
Software Databases and Websites | 511 |
527 | |