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  Mathematical models in microbial systems biology

Stelling, J. (2004). Mathematical models in microbial systems biology. Current Opinion in Microbiology, 7(5), 513-518. doi:10.1016/j.mib.2004.08.004.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9EAB-5 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0023-F377-E
Genre: Journal Article

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 Creators:
Stelling, J.1, Author              
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              

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 Abstract: Systems biology aims at an understanding of the genotype–phenotype relations brought about by cellular networks. Mathematical models as formal representations are central for handling the associated complexity. Recently, model-based analysis of microorganisms has begun, for instance, to reveal functional modules in metabolic and transcriptional networks, to predict cellular behavior from genome-scale physicochemical constraints, and to suggest novel design principles for well-studied bacterial subsystems such as chemotaxis. Guided by common themes such as modularity, optimality and robustness, iterative model development promises further progress towards a system-level understanding. Copyright © 2014 Elsevier B.V. except certain content provided by third parties [accessed 2014 October 16]

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Language(s): eng - English
 Dates: 2004
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 207994
Other: 46/04
DOI: 10.1016/j.mib.2004.08.004
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Title: Current Opinion in Microbiology
Source Genre: Journal
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Pages: - Volume / Issue: 7 (5) Sequence Number: - Start / End Page: 513 - 518 Identifier: -