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Foundations of Systems Biology
Abstract
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.
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Citations
Cited by
Systems biology: a brief overview
Kitano, H. (2002) · Science · doi:10.1126/science.1069492 · Cited by 4,265
Computational systems biology.
Kitano, H. (2002) · Nature · doi:10.1038/nature01254 · Cited by 2,209
Control, exploitation and tolerance of intracellular noise
Rao, C. V., Wolf, D. M., & Arkin, A. P. (2002) · Nature · doi:10.1038/nature01258 · Cited by 1,006
Evolution, the Extended Synthesis
(2010) · The MIT Press eBooks · doi:10.7551/mitpress/9780262513678.001.0001 · Cited by 964
Metabolic network structure determines key aspects of functionality and regulation
Stelling, J., Klamt, S., Bettenbrock, K., Schuster, S., & Gilles, E. D. (2002) · Nature · doi:10.1038/nature01166 · Cited by 802
Metadata
- Venue
- The MIT Press eBooks
- Publisher
- The MIT Press
- Published
- 2001-10-26
- OpenAlex
- W2134923619
- Cited by
- 594
- References
- 0
- FWCI
- 20.59
- Type
- book
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
