We develop databases for basic research and clinical research.
Our services include:
- the design software and efficient database systems to store data
- the development of web interfaces to visualize, upload/download, and analyze these data
- the deployment these applications on the facility's computing resources.
- Plant Proteome Database (PPDB) for Arabidopsis thaliana and maize (Zea mays). PPDB is both a LIMS and a public outreach/publication tool. Data access level depends on login credentials. This application was developed in collaboration with Klass Van Wijk at Cornell University.
- PathogenTracker is a web-based tool and laboratory information management system (LIMS) for studies on bacterial biodiversity and strain diversity. This database was developed in collaboration with Kathryn Boor and Martin Wiedmann at Cornell University.
- Panzea Database contains the genotypic and phenotypic data and genetic marker information produced by the NSF-funded project, "Genetic Architecture of Maize and Teosinte." This application was developed in collaboration with Ed Buckler at Cornell University and the USDA-ARS.
- Hepatitis C Datamart LIMS integrates clinical data (hospital databases), local biomedical research group data, genotyping and tissue/sample bank data in support of medical research. The Datamart LIMS is compliant with patient data privacy regulations and allows physicians to use this system for integrating various Electronic medical records (EMR) data. This database was developed in collaboration with Andrew Talal at the Weill Cornell Medical College.
- T-REX is an online tool for storage, management, and analysis of terminal restriction fragment length polymorphism (T-RFLP) data. The interface allows for uploading, storage and analysis of T-RFLP data and can be used as a LIMS. It is an example of online hosting of algorithms and software developed at Cornell. This application was developed in collaboration with Steve Culman and Dan Buckley at Cornell University.