Public online microarray databases contain tremendous amounts of expression data. Mining these data sources can provide a wealth of information on the underlying transcriptional networks. In this chapter, we illustrate how the web services COLOMBOS and DISTILLER can be used to identify condition-dependent coexpression modules by exploring compendia of public expression data. COLOMBOS is designed for user-specified query-driven analysis, whereas DISTILLER generates a global regulatory network overview. The user is guided through both web services by means of a case study in which condition-dependent coexpression modules comprising a gene of interest (i.e., "directed") are identified. © 2012 Springer Science+Business Media, LLC.
CITATION STYLE
Fu, Q., Lemmens, K., Sanchez-Rodriguez, A., Thijs, I. M., Meysman, P., Sun, H., … Marchal, K. (2012). Directed module detection in a large-scale expression compendium. Methods in Molecular Biology, 804, 131–165. https://doi.org/10.1007/978-1-61779-361-5_8
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