The computational reconstruction and analysis of cellular models of microbial metabolism is one of the great success stories of systems biology. The extent and quality of metabolic network reconstructions is, however, limited by the current state of biochemical knowledge. Can experimental high-throughput data be used to improve and expand network reconstructions to include unexplored areas of metabolism? Recent advances in experimental technology and analytical methods bring this aim an important step closer to realization. Data integration will play a particularly important part in exploiting the new experimental opportunities.
SEEK ID: https://fairdomhub.org/publications/11
PubMed ID: 18026122
Projects: STREAM
Publication type: Not specified
Journal: Nat. Rev. Microbiol.
Citation:
Date Published: 21st Nov 2007
Registered Mode: Not specified
Views: 4452
Created: 26th May 2010 at 14:43
Last updated: 8th Dec 2022 at 17:25
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