Our focus is on network analysis and modeling, integrated with cancer profiles that will enable us to identify diagnostic and prognostic biomarkers, understand disease initiation and progression, which will lead to improving cancer treatment. Our tools and resources, such as pathDIP, GSOAP, IID, NAViGaTOR, FpClass, I2D, mirDIP, CDIP, GAP, RNSC and BTSVQ enable users to interpret integrated cancer profiles, and create relevant models dynamically. We also host a GeneCards mirror. We also have RQSA robust, quantitative scratch assay analysis system