There is no doubt that both computational biology and bioinformatics, and the interface of computer science and biology in general, are central to the future of biological research. The disciplines span a process that begins with data collection, analysis, classification, and integration, and ends with interpretation, modeling, visualization, and prediction. Data mining plays a role in the middle of this process. Overall, the focus is on identifying opportunities and developing computational solutions (including algorithms, models, tools, and databases) that can be used for experimental design, data analysis and interpretation, and hypothesis generation.Data mining is the search for hidden trends within large sets of data. Data mining approaches are needed at all levels of genomics and proteomics analyses. These studies can provide a wealth of information and rapidly generate large quantities of data from the analysis of biological specimens from healthy and diseased tissues. The high dimensionality of data generated from these studies will require the development of improved bioinformatics and computational biology tools for efficient and accurate data analyses.