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Table 1 SomaticSeq sensitivity on real data. ≥N tools represents the consensus of at least N callers. The two sets of real tumor–normal sequencing data were downloaded from the European Genome Archive. SomaticSeq predictions were trained from the DREAM Stage 3 data sets

From: An ensemble approach to accurately detect somatic mutations using SomaticSeq

Sample COLO-829 CLL1
SNV Number of calls Sensitivity Number of calls Sensitivity
MuTect 46,831 0.996 8,361 0.895
VarScan2 64,927 0.987 19,797 0.888
SomaticSniper 53,077 0.996 13,690 0.907
JointSNVMix2 85,983 0.996 22,534 0.899
VarDict 53,076 0.857 5,748 0.883
Union of five tools 191,696 0.998 55,196 0.935
≥2 tools 57,254 0.996 13,594 0.916
≥3 tools 43,848 0.996 5,836 0.904
≥4 tools 38,216 0.996 2,637 0.886
=5 tools 34,086 0.857 1,749 0.842
SomaticSeq 37,452 0.996 2,320 0.892