- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
The advent of genome sequencing and associated technologies has transformed biologists' ability to measure important classes of molecules and their interactions. This expanded cellular view has opened the field to thousands of interactions that previously were outside the researchers' reach. The processing and interpretation of these new vast quantities of interconnected data call for sophisticated mathematical models and computational methods. Systems biology meets this need by combining genomic knowledge with theoretical, experimental and computational approaches from a number of traditional scientific disciplines to create a mechanistic explanation of cellular systems and processes.
Systems Biology I: Genomics and Systems Biology II: Networks, Models, and Applications offer a much-needed study of genomic principles and their associated networks and models. Written for a wide audience, each volume presents a timely compendium of essential information that is necessary for a comprehensive study of the subject. The chapters in the two volumes reflect the hierarchical nature of systems biology. Chapter authors-world-recognized experts in their fields-provide authoritative discussions on a wide range of topics along this hierarchy. Volume I explores issues pertaining to genomics that range from prebiotic chemistry to noncoding RNAs. Volume II covers an equally wide spectrum, from mass spectrometry to embryonic stem cells. The two volumes are meant to provide a reliable reference for students and researchers alike.
Contents
1. Mass Spectrometry in Systems Biology 3 ; 2. Mathematical Modeling and Optimization Methods for De Novo Protein Design 42 ; 3. Molecular Simulation and Systems Biology 67 ; 4. Global Gene Expression Assays: Quantitative Noise Analysis 103 ; 5. Mapping the Genotype-Phenotype Relationship in Cellular Signaling Networks: Building Bridges Over the Unknown 137 ; 6. Integrating Innate Immunity into a Global "Systems" Context: The Complement Paradigm Shift 169 ; 7. Systems Biotechnology: Combined in Silico and Omics Analyses for the Improvement of Microorganisms for Industrial Applications 193 ; 8. Genome-Scale Models of Metabolic and Regulatory Networks 232 ; 9. Biophysical Models of the Cardiovascular System 265 ; 10. Embryonic Stem Cells as a Module for Systems Biology 297 ; Index 319
