The kinase distance matrix produced as described in the Kinome-wide comparison section is submitted to a hierarchical clustering as implemented in SciPy 31 using as metric the Euclidean distance and as linkage Ward's criterion. We generate a phylogenetic tree in the Newick format based on this KiSSim kinase clustering. The tree branches are labeled with the mean of all distances belonging to that branch; the tree leaves are annotated with the kinase names and their assigned Manning kinase groups. We visualize the tree in an automatized way using BioPython's Phylo module to be used in Jupyter Notebooks, and in a manual way using the freely available FigTree 33 software to produce publication-ready circular trees.