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Table 1 Prediction accuracy of test data set

From: Identification of a novel Plasmopara halstedii elicitor protein combining de novo peptide sequencing algorithms and RACE-PCR

  x ≥ 3 x ≥ 4 x ≥ 5 x ≥ 6 x ≥ 7 x ≥ 8 x ≥ 9 x ≥ 10
Number of peptides with length ≥ x 78 78 78 78 78 70 57 44
CompNovo 0.9 52 (67%) 47 (60%) 39 (50%) 37 (47%) 31 (40%) 20 (29%) 12 (21%) 6 (14%)
PEAKS Online 75 (96%) 69 (88%) 64 (82%) 58 (74%) 52 (67%) 40 (57%) 29 (51%) 20 (45%)
PepNovo 61 (78%) 55 (71%) 45 (58%) 41 (53%) 31 (40%) 20 (29%) 10 (18%) 8 (18%)
  1. The table shows the accurate prediction accuracy of the algorithms for QSTAR obtained spectra in relation to different peptide lengths (shown as x).