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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).