Fig. 7

A screenshot of a paper supplement [31] made with LinkedCharts. The main chart (upper row, center) shows for every gene in the study its average expression and so-called \(\Delta\)-score, which indicates whether evolutionary changes in the translatome compensate for changes in the transcriptome or introduces additional variance. The two plots below show expression values for the selected gene in all the tested samples. The user selects a gene by clicking on the corresponding point of the main plot or by entering the gene name (upper-left corner). The density plot to the right shows the distribution of \(\Delta\)-scores, and its Y-axis is linked to the Y-axis of the main plot. In the upper-right and bottom-left corners, some additional information on the selected gene is displayed. Icons in the upper left corner allow switching between the three studied tissues. Detailed information on the data, study goal and the source code for the app can be found in the related publication. The app is written in JavaScript and, thus, can be downloaded and opened in any modern browser without installation requirements. Though largely customized, the app is based on the same principles as other examples throughout this paper. For the live version, see https://ex2plorer.kaessmannlab.org/