Official project page: Project: SyMBA: Storing experimental knowledge in a FuGE-compliant archive
SyMBA is an archive that facilitates metadata integration and data storage. It stores knowledge about experimental data in a computationally-amenable and user-friendly way.
It is designed to prevent deletion, loss, or accidental modification of primary data and metadata, while providing convenient manual and computational access for standards-compliant publication, sharing and analysis.
Metadata is stored in a single format, irrespective of the type of data it describes. SyMBA presents users with a simple, unified view of their data and metadata, while utilizing the richly-descriptive Functional Genomics Experiment Object Model (FuGE-OM) behind the scenes.What you get: