Translational research platforms integrating clinical and omics data: a review of publicly available solutions

The rise of personalizedmedicine and the availability of high-throughput molecular analyses in the context of clinical care have increased the need for adequate tools for translational researchers to manage and explore these data.We reviewed the biomedical literature for translational platforms allowing the management and exploration of clinical and omics data, and identified seven platforms: BRISK, caTRIP, cBio Cancer Portal, G-DOC, iCOD, iDASH and tranSMART.We analyzed these platforms along seven major axes. (1) The community axis regrouped information re-garding initiators and funders of the project, as well as availability status and references. (2) We regrouped under the information content axis the nature of the clinical and omics data handledbyeach system. (3) Theprivacymanagement environment axis encompassed functionalities allowing control over data privacy. (4) In the analysis support axis, we detailed the analytical and statistical tools provided by the platforms.We also explored (5) interoperability support and (6) systemrequirements.The final axis (7) platform support listed the availabilityof documentation and installation procedures. A large heterogeneity was observed in regard to the capability to manage phenotype information in add-ition to omics data, their security and interoperability features. The analytical and visualization features strongly depend on the considered platform. Similarly, the availability of the systems is variable.This review aims at providing the reader with thebackground to choose theplatformbest suited to their needs.To conclude, we discuss the desider-ata for optimal translational research platforms, in terms of privacy, interoperability and technical features