Flow of information from experimental samples to data visualization and analysis. The implementation architecture (shown in boxes in the figure) consists of a data management layer where data warehousing takes place (1). The next layer is the information and modeling layer where ontology and data standards can be applied to the data (2). Application integration layer provides the end user tools that interact with the data based on the ontology/standard (3). Dissemination layer (4) is used for knowledge delivery based on the data stored in the warehouse.