Options for a Federated, Cloud-based Sy Knowledgebase

Systems biology is characterized by a larg scientists who use a wide variety of fragmente data sets and computational tools of all scales research. In order to provide a more coheren environment for systems biology, we are wo the Department of Energy Systems Biology (Kbase) project to define a federated clou architecture. The Kbase will eventually host m of biological data, provide high performan computational resources, and support a large with tools and services to enable them to u resources. In this paper, we describe the investigations into the design of a workflo suitable for use in the Kbase. The approach u based workflow description and open so technologies, and incorporates a data a execution layer for exploiting data locality architecture. We describe a use case and the implementation we have built that demonstrat of our approach.