Systems Biology: International Research and Development

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Springer Science & Business Media, 16.05.2007 - 262 Seiten

Systems biology is defined for the purpose of this study as the understanding of biological network behaviors, and in particular their dynamic aspects, which requires the utilization of mathematical modeling tightly linked to experiment. This involves a variety of approaches, such as the identification and validation of networks, the creation of appropriate datasets, the development of tools for data acquisition and software development, and the use of modeling and simulation software in close linkage with experiment. All of these are discussed in this volume. Of course, the definition becomes ambiguous at the margins, but at the core is the focus on networks, which makes it clear that the goal is to understand the operation of the systems, rather than the component parts.

It was concluded that the U.S. is currently ahead of the rest of the world in systems biology, largely because of earlier investment by funding organizations and research institutions. This is reflected in a large number of active research groups, and educational programs, and a diverse and growing funding base. However, there is evidence of rapid development outside the U.S., much of it begun in the last two to three years. Overall, however, the picture is of an active field in the early stages of explosive growth.

This volume is aimed at academic researchers, government research agency representatives and graduate students.

 

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Inhalt

Data and Databases
14
Network Inference
31
References
44
Interest and Involvement of Industry
67
Needs and Recommendations
75
Systems Biology in Plant Research
82
Education National Programs and Infrastructure in Systems Biology
91
APPENDICES
111
Site ReportsJapan
177
University of Tokyo Laboratory of Systems Biology and Medicine 223 D Summary of U S Workshop June 4 2004
229
E Glossary
253
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