CORNET: a user-friendly tool for data mining and integration

As an overwhelming amount of functional genomics data has been generated, the retrieval, integration and interpretation of these data need to be facilitated to enable the advance of (systems) biological research. For example, gathering and processing microarray data that are related to a particular biological process is not straightforward, neither is the compilation of protein-protein interactions from numerous, partially overlapping databases, identified through diverse approaches. However, these tasks are inevitable to address the following questions: "Does a group of differentially expressed genes show similar expression in diverse microarray experiments?", "Was an identified protein-protein interaction previously detected by other approaches?" or "Are the interacting proteins encoded by genes with similar expression profiles and localization?". We developed CORNET (CORrelation NETworks) as an access point to transcriptome, protein interactome, localization data and functional information on Arabidopsis thaliana. It consists of two flexible and versatile tools, namely the co-expression tool and the PPI tool. The ability to browse and search microarray experiments using ontology terms and the incorporation of personal microarray data are distinctive features of the microarray repository. The co-expression tool enables either the alternate or simultaneous use of diverse expression compendia, whereas the PPI tool searches experimentally and computationally identified protein-protein interactions. Different search options are implemented to enable the construction of co-expression and/or protein-protein interaction networks centered around multiple input genes or proteins. Moreover, networks and associated evidence are visualized in Cytoscape. Localization is visualized in pie charts, thereby allowing multiple localizations per protein. CORNET is available at http://bioinformatics.psb.ugent.be/cornet.

De Bodt, S., Carvajal, D., Hollunder, J., Van den Cruyce, J., Movahedi, S., Inzé, D. (2010) CORNET: a user-friendly tool for data mining and integration. Plant Physiol. 152(3):1167-79.

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