Figure 5

Quality threshold (QT) clustering analysis of genes differentially expressed upon telomere uncapping. Bioconductor was used to execute a QT clustering analysis [32] of the 647 differentially expressed genes (DEGs). A Euclidean similarity measure was used. Minimum cluster size was 5 and maximum radius of clusters was 1.0. Mean expression values of the genes in each cluster relative to the wild-type T = 0 samples were plotted with error bars representing standard deviations from the mean. Over-represented GO terms for each cluster are indicated.