• ExpressionProfiling produces a downloadable graph that shows raw expression values of selected genes across available microarrays. This tool can tell you in what tissue and how strongly your gene(s) of interest are expressed.
• ExpressionTree clusters genes by the similarity of their expression profiles and visualizes those similarities using a dendogram. This tool can help you identify co-expressed clusters within the gene list specified in data entry.
• Co-expression analysis compares expression profile(s) of the selected gene(s) with every gene present in current database and returns a list of genes ranked by Pearson Correlation Coefficient. GeneCAT also draws a co-expressed gene network using top 50 genes from the list, that can be used for identification of co-expressed clusters. Additionally, the program creates a table of top 150 genes from the list clustered by sequence similarity.
• Map-O-Matic plots the distribution of r-values of correlation between genes specified in data entry and genes specified with "compile sub-database". Map-O-Matic tool may provide a user-friendly and powerful tool for predicting genes that are likely to be involved in specified biological processes.
• Rosetta measures similarities of the list of genes co-expressed with the bait gene with lists of genes co-expressed with target genes. This tool can be used to compare co-expression environment of genes within an organism, or across organisms (currently Arabidopsis thaliana and Hordeum vulgare).