GENeVis
DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. In a time series experiment, the gene expressions are measured as a function of time. GENeVis is an application for integrated visualization of genome expression and network dynamics in both regulatory networks and metabolic pathways. Integration of these two levels of cellular processes is necessary, since it provides the link between the measurements at the transcriptional level (gene expression levels approximated from microarray data) and the phenotype (the observable characteristics of an organism) at the functional and behavioral level. The integration requires visualization approaches besides traditional clustering and statistical analysis methods. Our application can (i) visualize the data from time series experiments in the context of a regulatory network and KEGG metabolic pathways; (ii) identify and visualize active regulatory subnetworks from the gene expression data; (iii) perform a statistical test to identify and subsequently visualize pathways that are affected by differentially expressed genes.
GENeVis has features that are currently lacking in existing tools, such as mapping of expression value and corresponding p-value (or other statistic) to a single visual attribute, multiple time point visualization, and visual comparison of multiple time series in one view. Various interaction mechanisms, such as panning, zooming, regulator and target highlighting, data selection, and tooltips support data analysis and exploration. Subnetworks can be studied in detail in a separate view that shows the network context, expression data plots, and tables containing the raw expression data.
GENeVis II
GENeVis considers metabolic pathways as disjoint processes. Most metabolites (i.e. compounds or reactions), however, are shared among several pathways. Therefore, to investigate an organism's metabolism, it is relevant to study all the pathways simultaneously. Therefore, we initiated work on GENeVis II, which enables visualization of the whole metabolic network. It makes use of a layout algorithm called MetaViz, which has been designed specifically for metabolic networks. In addition to visualization of data from time series experiments in the context of a regulatory network and a metabolic network, GENeVis II supports identification and visualization of affected subnetworks based on the expression data. The nodes of a subnetwork are highlighted in both the regulatory network and metabolic network. This approach can reveal quickly whether two independent regulatory subnetworks are connected at the metabolic level, or, conversely, whether two independent metabolic subnetworks are connected at the regulatory level.
Publications
GENeVis
- M. A. Westenberg, S. A. F. T. van Hijum, O. P. Kuipers, J. B. T. M. Roerdink. Visualizing Genome Expression and Regulatory Network Dynamics in Genomic and Metabolic Context. Computer Graphics Forum, 27(3):887-894, 2008. [pdf]
- M. A. Westenberg, S. A. F. T. van Hijum, A. T. Lulko, O. P. Kuipers, and J. B. T. M. Roerdink. Interactive visualization of gene regulatory networks with associated gene expression time series data. In L. Linsen, H. Hagen, and B. Hamann, editors, Visualization in Medicine and Life Sciences, Visualization and Mathematics. Springer Verlag, Berlin, Germany, pages 293-312, 2007. [pdf]
GENeVis II
- R. Bourqui, M. A. Westenberg. Visualizing Temporal Dynamics at the Genomic and Metabolic Level. In 13th Int. Conf. Information Visualization 2009, pp.317-322, 15-17 July 2009. [pdf]
Download
November 2009 update: The bget method of the KEGG API has changed, and we are adapting the tool. The updated version should be available for download shortly.
Here is a movie (23 MB) that shows network activity in E. coli. Read the details in the Computer Graphics Forum paper (available above).
GENeVis images
GENeVis II images
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