FDA MyStudies Mobile App
LabKey, the FDA, Harvard Pilgrim Health Care Institute (HPHCI), and Boston Technology Corporation (BTC) worked together to develop this open-source, digital platform to gather real world data for clinical trials and research studies.
Just Biotherapeutics, Inc.
Just Biotherapeutics partnered with LabKey to develop a “single source of truth” for biologics registration, sample tracking, and workflow management at Just.
Immune Tolerance Network
The Immune Tolerance Network (ITN) partnered with LabKey to develop the ITN TrialShare portal to provide direct access to post-publication data from ITN studies.
CAVD Dataspace
Collaboration for AIDS Vaccine Discovery (CAVD) DataSpace helps researchers discover study data, filter, combine, visualize, and export information of interest, and comply with agreements and regulations on data security.
Argos
Argos is a data exploration and visualization portal used by researchers and clinicians to pursue precision oncology by efficiently accessing and analyzing a large volume and variety of related data.
Atlas Science Portal
The Atlas Science Portal serves as a data integration and operational hub for multiple HIV research networks.
Panorama
The MacCoss lab at the University of Washington partnered with LabKey Software to develop Panorama, a LabKey Server module that provides a repository for Skyline targeted mass spectrometry documents.
Primate EHR
LabKey Software partnered with the WNPRC and ONPRC to develop systems for managing and reporting on electronic health records (EHR) and related research data for primate colonies.
O’Connor LabKey Server
The O’Connor lab uses LabKey Server as its “operating system,” speeding its efforts to understand how genetics affects immunity to viruses such as HIV/SIV.
MESA-ICEMR
MESA-ICEMR uses LabKey Server to facilitate collection and analysis of experimental data; integrate clinical and laboratory data from diverse field sites; and access real-time data across continents.
Adair and Kiem Labs
LabKey Server-based assay tools free up Adair and Kiem lab members to focus on data interpretation instead of manual processing, help them look quickly across results collected from multiple experiments over time, and enable them to scale up analysis as fast as sequencing throughput.