Please start your analysis by specifying the genes you want to analyze in "data entry".
For introduction and examples of GeneCAT analyses, visit Guide/FAQ section (recommended).
Current version of GeneCAT for Rice is composed of 3 tools:
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.