When you are confronting huge amounts of data generating from DNA microarray experiments,  how will you do? People are eager to accelerate the pace of data analysis to approach the data from a high level of organization, such as hierarchical clustering, self-organizing maps and other methods. A complementary approach is view the data at the level of known biological processes or pathways. GenMAPP (Gene MicroArray Pathway Profiler) can give us help in the identification of important biological processes, which is a program for viewing and analyzing microarray data on microarray pathway profiles (MAPPs) representing biological pathways or any other functional grouping of genes. As we all known, the GO Consortium is creating a defined vocabulary of terms describing the biological processes, cellular components and molecular functions of all genes. MAPPFinder is a tool that creates a global gene-expression profile across all areas of biology and dynamically links gene-expression data to the GO hierarchy. And MAPPFinder has greatly expended current pathway-based tools by using the large amount of annotations available from the GO. Please look up this paper in detail if you want to learn about the MAPPFinder.