SyMBA: Storing experimental knowledge in a FuGE-compliant archive

Project Leader(s): Anil Wipat
Staff: Allyson Lister, Morgan Taschuk

Having a central data repository prevents deletion, loss, or accidental modification of primary data, while giving convenient access to the data for publication and analysis. It also provides a central location for storage of metadata for the high-throughput data sets, and will facilitate subsequent data integration strategies.

SyMBA is a biological data archive and integrator based on Version 1 of the Functional Genomics Experiment (FuGE) Object Model (FuGE-OM), and which archives, stores, and retrieves raw high-throughput data. Until now, few published systems have successfully integrated multiple omics data types and information about experiments in a single database.

SyMBA is the first published implementation of FuGE that includes a database back-end, expert and standard interfaces, and a Life Science Identifier (LSID) Resolution and Assigning service to identify objects and provide programmatic access to the database. We encourage the use, installation and development of SyMBA by other groups.

Please let us know if you are interested in using or evaluating SyMBA for use at your own Centre.

Related website: SyMBA homepage


Professor Anil Wipat
Professor of Integrative Bioinformatics