Visualization and Analysis of Networks containing Experimental Data
The aim of this project is the development of a software tool for visual exploration and statistical analysis of complex biochemical data sets. For this task it is necessary to integrate and process data from different areas of genome and proteome research and to present the results in a user-friendly way. The emphasis is on the linkage of experimental data, for example containing metabolite concentrations and expression profiles, with metabolic and regulatory networks. The new system called VANTED (Visualization and Analysis of Networks containing Experimental Data) makes it possible to load and edit graphs, which may for example represent biological pathways. It is possible to map experimental data sets onto the graph elements and visualize time series data or data of different genotypes or plants in the context of a network. VANTED contains new features such as file-based import of experimental data, built-in statistic functions for a fast data-evaluation (e.g. t-Test or correlation analysis), and functions for the detection of common time series patterns by means of a self-organizing map algorithm.
C. Klukas and F. Schreiber. Integration of -omics data and networks for biomedical research. Journal of Integrative Bioinformatics, 7(2):e112, 2010.
B.H. Junker, C. Klukas and F. Schreiber. VANTED: A system for advanced data analysis and visualization in the context of biological networks. BMC Bioinformatics, 7:e109, 2006.