CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of PPfold(seed) - scored higher in this pairwise comparison

  4. Performance of IPknot - scored lower in this pairwise comparison

  5. Compile and download dataset for PPfold(seed) & IPknot [.zip] - may take several seconds...


Overview

Metric PPfold(seed) IPknot
MCC 0.716 > 0.688
Average MCC ± 95% Confidence Intervals 0.749 ± 0.077 > 0.695 ± 0.076
Sensitivity 0.652 < 0.673
Positive Predictive Value 0.787 > 0.705
Total TP 1226 < 1264
Total TN 1050327 > 1050090
Total FP 467 < 659
Total FP CONTRA 48 < 112
Total FP INCONS 283 < 418
Total FP COMP 136 > 129
Total FN 653 > 615
P-value 7.95107997107e-08

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Performance plots


  1. Comparison of performance of PPfold(seed) and IPknot. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for PPfold(seed) and IPknot).

  2. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for PPfold(seed) and IPknot).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PPfold(seed) and IPknot. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for PPfold(seed) and IPknot).

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Performance of PPfold(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for PPfold(seed)

Total Base Pair Counts
Total TP 1226
Total TN 1050327
Total FP 467
Total FP CONTRA 48
Total FP INCONS 283
Total FP COMP 136
Total FN 653
Total Scores
MCC 0.716
Average MCC ± 95% Confidence Intervals 0.749 ± 0.077
Sensitivity 0.652
Positive Predictive Value 0.787
Nr of predictions 23

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2. Individual counts for PPfold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00626 0.94 0.89 1.00 77 56539 1 0 0 1 10
RFA_00627 0.95 0.91 1.00 79 56874 4 0 0 4 8
RFA_00628 0.95 0.91 1.00 78 57213 2 0 0 2 8
RFA_00630 0.91 0.85 0.97 74 56877 5 0 2 3 13
RFA_00805 0.46 0.21 1.00 32 133354 0 0 0 0 118
RFA_00814 0.94 0.88 1.00 36 25164 2 0 0 2 5
RFA_00816 0.95 0.90 1.00 37 23183 2 0 0 2 4
RFA_00817 0.95 0.90 1.00 37 21908 1 0 0 1 4
RFA_00818 0.94 0.88 1.00 36 20265 2 0 0 2 5
RFA_00819 0.95 0.90 1.00 37 27929 2 0 0 2 4
SRP_00079 0.74 0.69 0.79 61 41828 28 0 16 12 27
SRP_00099 0.60 0.59 0.62 56 44760 40 2 32 6 39
SRP_00124 0.71 0.66 0.76 56 37054 27 3 15 9 29
SRP_00182 0.85 0.78 0.92 79 45970 17 0 7 10 22
SRP_00241 0.53 0.52 0.54 43 45977 49 9 27 13 39
SRP_00252 0.64 0.63 0.64 56 49054 42 5 26 11 33
SRP_00253 0.64 0.62 0.66 56 49370 40 5 24 11 34
SRP_00257 0.51 0.44 0.59 48 50959 36 5 28 3 60
SRP_00260 0.56 0.51 0.61 51 47811 39 5 28 6 49
SRP_00328 0.61 0.56 0.67 48 39549 29 5 19 5 37
SRP_00329 0.72 0.67 0.78 57 39830 26 2 14 10 28
SRP_00331 0.63 0.59 0.69 51 37601 31 2 21 8 36
SRP_00340 0.54 0.50 0.59 41 41258 42 5 24 13 41

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Performance of IPknot - scored lower in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 1264
Total TN 1050090
Total FP 659
Total FP CONTRA 112
Total FP INCONS 418
Total FP COMP 129
Total FN 615
Total Scores
MCC 0.688
Average MCC ± 95% Confidence Intervals 0.695 ± 0.076
Sensitivity 0.673
Positive Predictive Value 0.705
Nr of predictions 23

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2. Individual counts for IPknot [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00626 0.89 0.85 0.94 74 56537 14 0 5 9 13
RFA_00627 0.69 0.66 0.73 57 56875 35 4 17 14 30
RFA_00628 0.95 0.90 1.00 77 57214 14 0 0 14 9
RFA_00630 0.82 0.75 0.89 65 56880 14 0 8 6 22
RFA_00805 0.65 0.55 0.75 83 133276 35 1 26 8 67
RFA_00814 0.89 0.88 0.90 36 25160 11 0 4 7 5
RFA_00816 0.82 0.85 0.80 35 23176 12 8 1 3 6
RFA_00817 0.23 0.24 0.22 10 21900 38 11 24 3 31
RFA_00818 0.69 0.68 0.70 28 20261 15 9 3 3 13
RFA_00819 0.96 0.95 0.98 39 27926 26 0 1 25 2
SRP_00079 0.67 0.66 0.68 58 41820 33 3 24 6 30
SRP_00099 0.59 0.59 0.60 56 44757 38 6 31 1 39
SRP_00124 0.86 0.81 0.92 69 37053 10 0 6 4 16
SRP_00182 0.75 0.73 0.76 74 45959 25 3 20 2 27
SRP_00241 0.57 0.60 0.54 49 45965 44 12 30 2 33
SRP_00252 0.51 0.51 0.51 45 49053 47 7 36 4 44
SRP_00253 0.51 0.52 0.51 47 49362 51 9 37 5 43
SRP_00257 0.83 0.81 0.85 88 50937 17 4 11 2 20
SRP_00260 0.75 0.74 0.76 74 47798 25 4 19 2 26
SRP_00328 0.65 0.65 0.66 55 39538 29 8 20 1 30
SRP_00329 0.63 0.61 0.65 52 39823 31 5 23 3 33
SRP_00331 0.52 0.53 0.51 46 37584 47 9 36 2 41
SRP_00340 0.54 0.57 0.51 47 41236 48 9 36 3 35

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.