Phenotypic microarray (PM) is a standardized, high-throughput technology for profiling phenotypes of microorganisms, which allows for characterization on around 2,000 different media conditions. The data generated using PM can be incorporated into genome-scale metabolic models to improve their predictive capability. In addition, a comparison of phenotypic profiles of wild-type and gene knockout mutants can give essential information about gene functions of unknown genes. In this chapter, we present a protocol to refine preconstructed metabolic models using the PM data. Both manual refinement and algorithmic approaches for integrating the PM data into metabolic models have been discussed. © Springer Science+Business Media, LLC 2013.
CITATION STYLE
Gawand, P., Yang, L., Cluett, W. R., & Mahadevan, R. (2013). Metabolic model refinement using phenotypic microarray data. Methods in Molecular Biology, 985, 47–59. https://doi.org/10.1007/978-1-62703-299-5_3
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