LAUSR

The investigation of biological systems from different perspectives leads, due to novel -omics technologies, to large-scale, heterogeneous, and complex datasets. To elucidate molecular programs that control biological systems growth and development the integration and analysis of these -omics data remains challenging. Network-integrated visualizations based on graphical standards support intuitive exploration and interpretation of -omics data within the functional context. This integrated vision of the biological system to be studied tries to extract all hidden information for deepening our understanding and reveals new biological insights.The method described here gives detailed instructions on the generation of such an integrative visualization of -omics data in the context of networks presented in the Systems Biology Graphical Notation (SBGN) using VANTED; a software tool for systems biology applications. An example illustrates the application of the method for metabolomics and proteomics data integration and analysis using a primary metabolic pathway, for the model crop potato.