Storing Scientific Workflows in a Database

The use of workflow models to integrate intelligently complex experimental and analytical processes is becoming more and more critical to support scientific discovery. Storing and providing querying capabilities to retrieve, import, re-use, adapt, and reason about workflows are becoming necessary components to workflow architectures supporting collaborative and translational research. We report on the evaluation of ProtocolDB a database that supports workflow design and storage conducted at the Translational Genomics Research Institute (TGen).