Fu Qiang, Lemmens Karen, Sanchez-Rodriguez Aminael, Thijs Inge M, Meysman Pieter, Sun Hong, Fierro Ana Carolina, Engelen Kristof, Marchal Kathleen
Centre of Microbial and Plant Genetics, Katholieke Universiteit Leuven, Heverlee, Belgium.
Methods Mol Biol. 2012;804:131-65. doi: 10.1007/978-1-61779-361-5_8.
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.
公共在线微阵列数据库包含大量的表达数据。挖掘这些数据源可以提供有关潜在转录网络的丰富信息。在本章中，我们将说明如何通过探索公共表达数据汇编，使用网络服务COLOMBOS和DISTILLER来识别条件依赖性共表达模块。COLOMBOS专为用户指定的查询驱动分析而设计，而DISTILLER生成全局调控网络概述。通过一个案例研究指导用户使用这两种网络服务，在该案例中识别包含感兴趣基因（即“定向”）的条件依赖性共表达模块。
