The Use of Translational Research Platforms in Clinical and Biomedical Data Exploration Konstantina Skolariki and Antigoni Avramouli Abstract The rise of precision medicine combined with the variety of biomedical data sources and their heterogeneous nature make the integration and exploration of information that they retain more complicated. In light of these issues, translational research platforms were developed as a promising solution. Research centers have used translational tools for the study of integrated data for hypothesis development and validation, cohort discovery and data-exploration. For this article, we reviewed the literature in order to determine the use of translational research platforms in precision medicine. These tools are used to support scientists in various domains regarding precision medicine research. We identified eight platforms: BRISK, iCOD, iDASH, tranSMART, the recently developed OncDRS, as well as caTRIP, cBio Cancer Portal and G-DOC. The last four platforms explore multidimensional data specifically for cancer research. We focused on tranSMART, for it is the most broadly used platform, since its development in 2012. Keywords Precision medicine • Translational research platforms • Biomedical research • Clinical data • High-throughput technologies 1 Introduction The rise of personalized medicine and the generation of high-throughput data has lead to an increasing need for sufficient translational research tools. We identified eight platforms, that enable researchers to explore and analyze data. These are: BRISK (Biology-Related Information Storage Kit), iCOD (integrated clinical omics database), iDASH (integrating data for analysis, anonymization and sharing), tranSMART, and OncDRS (Oncology Data Retrieval Systems). OncDRS is an extended ‘Integrated Informatics from Biology to the Bedside’ (i2b2) project. There K. Skolariki University of Surrey, Guildford, Surrey, GU2 7XH, UK e-mail: ks00430@surrey.ac.uk A. Avramouli () Department of Informatics, Ionian University, Corfu 49100, Greece e-mail: c15avra@ionio.gr © Springer International Publishing AG 2017 P. Vlamos (ed.), GeNeDis 2016, Advances in Experimental Medicine and Biology 988, DOI 10.1007/978-3-319-56246-9_25 301