Fig. 4

False positive rates for the selective sweep detection process under various algorithms and demographic models. Demographic models consist of bottlenecks and are characterized by two parameters: t is the time in generations since the recovery of the populations, and psr the relative population size reduction during bottleneck. Prior to the bottleneck, the population size equals to the present-day population size. We show the results from the study of Crisci et al. [15] (a), our analysis in the current study (b) and the difference between a and b (c). Note that Crisci et al. studied SweepFinder (SF), SweeD (SWEED), SweeD with monomorphic (SWEED-Mono) and OmegaPlus (OP). In the current work, we studied SweepFinder (SF), SweepFinder with average SFS (SWEEDAV), SweeD (SWEED), SweeD with average SFS (SWEEDAV), SweepFinder2 (SF2), SweepFinder2 with average SFS (SF2AV), and OmegaPlus. Thus, in c we show only results from the common tools (SF, SWEED, OP). In a and b, the darker a cell, the lower the false positive rate. In c, yellow denotes that Crisci et al. report higher false positive rate than this study, while blue denotes that the reported false positive rate by Crisci et al. is lower