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. 2015 Aug 13;10(8):e0135800. doi: 10.1371/journal.pone.0135800

Table 2. Evaluation of SMD somatic SNV detection in the simulation datasets.

Variant Set Dataset 1 Dataset 2
TP FN Sensitivity % FNR FP TN Specificity % FPR
BWA-mem+MuTect 690 52 92.99 7.01E-02 16 47,301,677 99.99997 3.38E-07
Novoalign+MuTect 684 58 92.18 7.82E-02 23 47,301,670 99.99995 4.86E-07
BWA-mem+Shimmer 550 192 74.12 2.59E-01 0 47,301,693 100.00000 0.00
Novoalign+Shimmer 536 206 72.24 2.78E-01 0 47,301,693 100.00000 0.00
BWA-mem+SomaticSniper 707 35 95.28 4.72E-02 110 47,301,583 99.99977 2.33E-06
Novoalign+SomaticSniper 697 45 93.94 6.06E-02 109 47,301,584 99.99977 2.30E-06
BWA-mem+Strelka 597 145 80.46 1.95E-01 16 47,301,677 99.99997 3.38E-07
Novoalign+Strelka 596 146 80.32 1.97E-01 19 47,301,674 99.99996 4.02E-07
BWA-mem+VarScan2 708 34 95.42 4.58E-02 27 47,301,666 99.99994 5.71E-07
Novoalign+VarScan2 705 37 95.01 4.99E-02 25 47,301,668 99.99995 5.29E-07
BWA-mem+Virmid 678 64 91.37 8.63E-02 0 47,301,693 100.00000 0.00
Novoalign+Virmid 690 52 92.99 7.01E-02 4 47,301,689 99.99999 8.46E-08
2aligners+2callers 713 29 96.09 3.91E-02 1 47,301,692 100.00000 0.00

Results are shown for high-quality variants that passed all quality filters. Additional precision digits were kept for Specificity to infer small differences.