The i2b2 tranSMART Foundation offers modular open source software for query, exploration and analysis of clinical, translational and genomics data. What makes them different is their flexible, ontology-driven architecture and community-developed plugins and interfaces that enable a variety of configurations to support the needs of data scientists, academic clinical investigators, and industry.

Software Platforms


Informatics for Integrating Biology & the Bedside is an NIH-funded enterprise clinical research platform, which contains a database model, application layer, and core APIs.

One of the most common uses is the exploration and identification of a patient cohort for a particular study.  The ability to easily look across a wide range of de-identified patient information for particular symptoms, medical history, genomic profile, etc. and review and analyze the resulting sets of data make our platforms useful for clinicians and research teams.



The Shared Health Research Information Network helps researchers overcome one of the greatest problems in population-based research: compiling large groups of well-characterized patients. Investigators with access to a SHRINE-powered network may use the SHRINE web-based query tool to determine the aggregate total number of patients at participating hospitals who meet a given set of inclusion and exclusion criteria. Because counts are aggregate, patient privacy is protected.



Is a suite of data exploration, visualization, genomic analyses and ETL tools, which were developed by pharma for translational research studies.

Translational studies use the PIC-SURE software to integrate clinical and genomic data from multiple sources. Clinicians and data scientists explore and analyze the data with tranSMART.  Users can also query the PIC-SURE APIs programmatically through software such as Jupyter and connect to hail for large scale genomic research.