Article
Integrating high-throughput and computational data elucidates bacterial networks.
Nature - 6 May 2004
Covert Markus W, Knight Eric M, Reed Jennifer L, Herrgard Markus J, Palsson Bernhard O
Abstract excerpt
The flood of high-throughput biological data has led to the expectation that computational (or in silico) models can be used to direct biological discovery, enabling biologists to reconcile heterogeneous data types, find inconsistencies and systematically generate hypotheses. Such a process is fundamentally iterative, where each iteration involves making model predictions, obtaining experimental data, reconciling...
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