Figure 2

Graphical display of a typical outcome for the comparison of two gene lists. The head of the page shows a short summary of the analysis (analysis type, Job ID, input data, data sizes etc.). After the header, an output box is given for each annotation. Each box consists of three different tables: summary, basic statistics of the input and statistical tests. The summary table provides the number of genes for which the chosen annotation exists (effective sizes) and the annotated input data for download. It can be seen that 248 out of 252 and 37 out of 39 genes could be found in the database (differences between original and effective input size). The basic statistic table gives a rough overview on the input data and displays parameters such as means, medians and standard deviation apart of a graphical visualization so that the user can rapidly gain insight on the distribution of the quantitative feature annotated to the input genes. Finally, the last table resumes the statistical tests. In the case of comparing two input lists, two tests are carried out: the Kolmogorov-Smirnov test and a randomization test of the means (see "Randomization/bootstrap statistical tests" in "Materials and Methods"). For both tests, apart from the p-values, the most important values (maximal difference, observed distance between means etc.) and a graphical representation are given.