November 14, 2003 | The highest level of a data analysis architecture includes two broad categories: high-throughput observation and hypothesis-driven scientific research. These data-storage categories are augmented with a tools infrastructure that includes bioinformatic algorithms and end-user applications for data analysis. Most end-user applications are linked to a specific data source — image analysis software, for example, as part of a medical imaging database, and sequence-alignment programs as part of a gene sequence database. Finally, the tools infrastructure must be "front-ended" with an interface that permits access across the full spectrum of data sources.
Back to Making Information-Based Medicine Work