附註:Includes bibliographical references and index.
Systems Biology: Toward System-level Understanding of Biological Systems / Hiroaki Kitano -- Advanced Measurement Systems -- Automatic Acquisition of Cell Lineage through 4D Microscopy and Analysis of Early C. elegans Embryogenesis / Shuichi Onami, Shugo Hamahashi, Masao Nagasaki, Satoru Miyano, Hiroaki Kitano -- Reverse Engineering and Data Mining from Gene Expression Data -- The DBRF Method for Inferring a Gene Network from Large-Scale Steady-State Gene Expression Data / Shuichi Onami, Koji M. Kyoda, Mineo Morohashi, Hiroaki Kitano -- The Analysis of Cancer Associated Gene Expression Matrices / Mattias Wahde, Zoltan Szallasi -- Automated Reverse Engineering of Metabolic Pathways from Observed Data by Means of Genetic Programming / John R. Koza, William Mydlowec, Guido Lanza, Jessen Yu, Martin A. Keane -- Software for Modeling and Simulation -- The ERATO Systems Biology Workbench: An Integrated Environment for Multiscale and Multitheoretic Simulations in Systems Biology / Michael Hucka, Andrew Finney, Herbert Sauro, Hamid Bolouri, John Doyle, Hiroaki Kitano -- Automatic Model Generation for Signal Transduction with Applications to MAP-Kinase Pathways / Bruce E. Shapiro, Andre Levchenko, Eric Mjolsness -- Modeling Large Biological Systems From Functional Genomic Data: Parameter Estimation / Pedro Mendes -- Cellular Simulation -- Towards a Virtual Biological Laboratory / Jorg Stelling, Andreas Kremling, Martin Ginkel, Katja Bettenbrock, Ernst Dieter Gilles -- Computational Cell Biology--The Stochastic Approach / Thomas Simon Shimizu, Dennis Bray.
摘要:An overview of the methodologies and techniques of the emerging field of systems biology.The emerging field of systems biology involves the application of experimental, theoretical, and modeling techniques to the study of biological organisms at all levels, from the molecular, through the cellular, to the behavioral. Its aim is to understand biological processes as whole systems instead of as isolated parts. Developments in the field have been made possible by advances in molecular biology--in particular, new technologies for determining DNA sequence, gene expression profiles, protein-protein interactions, and so on. Foundations of Systems Biology provides an overview of the state of the art of the field. The book covers the central topics of systems biology: comprehensive and automated measurements, reverse engineering of genes and metabolic networks from experimental data, software issues, modeling and simulation, and system-level analysis.
