Fig. 1

High-level overview illustrating the functionality of SigProfilerSimulator. a Schematic depiction of SigProfilerSimulator’s general functionality. The tool transforms the real somatic mutational catalog of a cancer genome into a simulated mutational catalog, while maintaining the mutational burden and the mutational pattern at a preselected resolution. b Summary of SBS classifications with corresponding examples at each resolution. The guide summarizes how the number of mutational channels is derived for each classification. c Comparing the simulated catalogues of a single cancer genome at different resolutions. Adding additional sequence context to a simulation creates a more specific and complex mutational model (e.g., SBS-96 provides greater resolution than SBS-6). Similarly, one can preserve the number of mutations in both genic and intergenic regions as well as the transcriptional strand bias by simulating with either SBS-24, SBS-384, or SBS-6144 classifications. Simulating a more complex classification of the data results in matching catalogs for all collapsed versions of the higher matrix (i.e., simulating SBS-384 ensures that the SBS-6, SBS-24, and SBS-96 simulated catalogs match the original data). d Comparing the simulated catalogues of a single cancer genome at different resolutions for small insertions and deletions. One can preserve the number of small insertions and deletions in genic and intergenic regions as well as the transcriptional strand bias by simulating the ID-415 classification