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

  1. Overview

  2. Performance Plots

  3. Performance of IPknot - scored higher in this pairwise comparison

  4. Performance of RNASampler(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for IPknot & RNASampler(20) [.zip] - may take several seconds...


Overview

Metric IPknot RNASampler(20)
MCC 0.589 > 0.553
Average MCC ± 95% Confidence Intervals 0.606 ± 0.042 > 0.570 ± 0.039
Sensitivity 0.521 > 0.434
Positive Predictive Value 0.668 < 0.705
Total TP 2378 > 1981
Total TN 2918226 < 2918978
Total FP 1473 > 1029
Total FP CONTRA 241 < 247
Total FP INCONS 941 > 580
Total FP COMP 291 > 202
Total FN 2188 < 2585
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of IPknot and RNASampler(20). 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 IPknot and RNASampler(20)).

  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 IPknot and RNASampler(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for IPknot and RNASampler(20). 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 IPknot and RNASampler(20)).

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 2378
Total TN 2918226
Total FP 1473
Total FP CONTRA 241
Total FP INCONS 941
Total FP COMP 291
Total FN 2188
Total Scores
MCC 0.589
Average MCC ± 95% Confidence Intervals 0.606 ± 0.042
Sensitivity 0.521
Positive Predictive Value 0.668
Nr of predictions 50

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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
ASE_00064 0.68 0.60 0.77 53 45382 22 3 13 6 36
ASE_00090 0.66 0.58 0.75 59 55532 20 1 19 0 42
ASE_00135 0.67 0.58 0.79 63 63110 22 1 16 5 46
ASE_00153 0.52 0.51 0.54 37 57562 60 6 25 29 36
ASE_00215 0.48 0.41 0.56 41 48443 32 1 31 0 58
ASE_00328 0.70 0.60 0.83 67 72690 20 4 10 6 45
ASE_00361 0.53 0.47 0.59 60 75364 45 9 33 3 67
ASE_00441 0.79 0.72 0.86 81 64167 15 2 11 2 31
PDB_00571 0.79 0.76 0.83 19 3298 4 2 2 0 6
PDB_00828 0.90 0.81 1.00 22 2463 0 0 0 0 5
PDB_00829 0.86 0.75 1.00 18 2260 0 0 0 0 6
PDB_01020 0.86 0.74 1.00 17 2261 1 0 0 1 6
PDB_01073 0.80 0.65 1.00 22 4349 1 0 0 1 12
TMR_00017 0.70 0.55 0.89 56 67098 11 0 7 4 46
TMR_00018 0.40 0.33 0.48 30 64558 36 6 26 4 62
TMR_00042 0.38 0.34 0.44 33 62760 45 2 40 3 65
TMR_00046 0.50 0.48 0.53 46 62748 45 5 36 4 50
TMR_00048 0.49 0.48 0.50 46 64888 54 6 40 8 49
TMR_00080 0.65 0.60 0.70 58 70417 26 6 19 1 38
TMR_00082 0.78 0.77 0.80 74 67803 24 8 11 5 22
TMR_00123 0.85 0.77 0.93 78 66346 11 0 6 5 23
TMR_00137 0.34 0.28 0.40 25 61013 45 6 31 8 64
TMR_00142 0.65 0.63 0.67 64 70780 39 9 23 7 38
TMR_00207 0.47 0.40 0.56 41 72317 36 3 29 4 62
TMR_00257 0.63 0.50 0.80 49 67100 18 2 10 6 49
TMR_00271 0.62 0.56 0.68 51 64186 35 6 18 11 40
TMR_00332 0.61 0.46 0.81 46 67104 16 0 11 5 53
TMR_00366 0.63 0.53 0.76 53 67826 28 5 12 11 47
TMR_00378 0.32 0.28 0.38 27 67824 56 14 31 11 70
TMR_00404 0.60 0.55 0.65 51 67450 38 6 21 11 41
TMR_00427 0.60 0.52 0.69 50 67456 27 10 12 5 47
TMR_00443 0.65 0.55 0.77 57 67087 24 8 9 7 47
TMR_00451 0.26 0.26 0.27 23 63461 66 16 46 4 66
TMR_00458 0.48 0.40 0.59 37 63483 33 6 20 7 56
TMR_00469 0.52 0.51 0.54 51 64525 48 16 28 4 49
TMR_00472 0.55 0.44 0.67 43 64556 26 6 15 5 54
TMR_00519 0.44 0.35 0.57 33 63132 35 7 18 10 62
TMR_00520 0.52 0.46 0.58 46 63110 43 7 27 9 53
TMR_00522 0.53 0.47 0.60 46 63113 39 5 26 8 51
TMR_00528 0.43 0.40 0.46 39 63106 55 11 34 10 58
TMR_00540 0.70 0.63 0.79 65 73454 27 6 11 10 39
TMR_00568 0.66 0.53 0.84 52 60664 16 0 10 6 47
TMR_00571 0.68 0.60 0.79 59 60651 24 2 14 8 40
TMR_00580 0.74 0.71 0.77 71 60634 29 2 19 8 29
TMR_00584 0.61 0.59 0.64 57 60986 36 3 29 4 40
TMR_00586 0.58 0.53 0.65 51 60996 34 6 22 6 46
TMR_00616 0.53 0.45 0.62 45 67088 33 6 22 5 54
TMR_00699 0.80 0.72 0.89 73 67079 13 3 6 4 29
TMR_00702 0.58 0.48 0.70 48 67092 26 5 16 5 52
TMR_00703 0.53 0.45 0.61 45 67454 34 3 26 5 54

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Performance of RNASampler(20) - scored lower in this pairwise comparison

1. Total counts & total scores for RNASampler(20)

Total Base Pair Counts
Total TP 1981
Total TN 2918978
Total FP 1029
Total FP CONTRA 247
Total FP INCONS 580
Total FP COMP 202
Total FN 2585
Total Scores
MCC 0.553
Average MCC ± 95% Confidence Intervals 0.570 ± 0.039
Sensitivity 0.434
Positive Predictive Value 0.705
Nr of predictions 50

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2. Individual counts for RNASampler(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
ASE_00064 0.44 0.34 0.58 30 45399 23 1 21 1 59
ASE_00090 0.54 0.40 0.74 40 55557 14 0 14 0 61
ASE_00135 0.54 0.36 0.83 39 63143 16 0 8 8 70
ASE_00153 0.38 0.33 0.44 24 57576 38 7 23 8 49
ASE_00215 0.38 0.23 0.62 23 48479 16 0 14 2 76
ASE_00328 0.70 0.57 0.85 64 72696 14 5 6 3 48
ASE_00361 0.34 0.21 0.55 27 75417 26 3 19 4 100
ASE_00441 0.46 0.31 0.69 35 64210 16 0 16 0 77
PDB_00571 0.87 0.80 0.95 20 3300 1 1 0 0 5
PDB_00828 0.86 0.74 1.00 20 2465 0 0 0 0 7
PDB_00829 0.86 0.75 1.00 18 2260 0 0 0 0 6
PDB_01020 0.86 0.74 1.00 17 2261 1 0 0 1 6
PDB_01073 0.77 0.59 1.00 20 4351 1 0 0 1 14
TMR_00017 0.60 0.45 0.81 46 67104 15 2 9 4 56
TMR_00018 0.52 0.41 0.64 38 64561 25 10 11 4 54
TMR_00042 0.60 0.42 0.85 41 62787 13 0 7 6 57
TMR_00046 0.48 0.40 0.58 38 62769 34 5 23 6 58
TMR_00048 0.61 0.46 0.80 44 64925 16 3 8 5 51
TMR_00080 0.49 0.41 0.60 39 70435 28 10 16 2 57
TMR_00082 0.43 0.31 0.59 30 67845 21 13 8 0 66
TMR_00123 0.60 0.46 0.79 46 66372 17 3 9 5 55
TMR_00137 0.47 0.37 0.59 33 61019 28 11 12 5 56
TMR_00142 0.56 0.47 0.67 48 70804 31 9 15 7 54
TMR_00207 0.52 0.39 0.70 40 72333 21 4 13 4 63
TMR_00257 0.56 0.40 0.78 39 67111 16 3 8 5 59
TMR_00271 0.48 0.34 0.69 31 64216 21 7 7 7 60
TMR_00332 0.52 0.41 0.66 41 67099 22 6 15 1 58
TMR_00366 0.55 0.46 0.65 46 67825 36 12 13 11 54
TMR_00378 0.55 0.46 0.65 45 67827 35 8 16 11 52
TMR_00404 0.66 0.54 0.81 50 67466 20 4 8 8 42
TMR_00427 0.47 0.34 0.65 33 67477 20 7 11 2 64
TMR_00443 0.56 0.41 0.75 43 67104 14 6 8 0 61
TMR_00451 0.34 0.25 0.47 22 63499 29 10 15 4 67
TMR_00458 0.55 0.42 0.72 39 63492 15 7 8 0 54
TMR_00469 0.72 0.61 0.86 61 64549 11 4 6 1 39
TMR_00472 0.75 0.63 0.88 61 64551 13 2 6 5 36
TMR_00519 0.50 0.40 0.62 38 63129 27 14 9 4 57
TMR_00520 0.40 0.31 0.52 31 63130 33 12 17 4 68
TMR_00522 0.54 0.42 0.68 41 63130 24 9 10 5 56
TMR_00528 0.49 0.40 0.59 39 63124 31 12 15 4 58
TMR_00540 0.47 0.37 0.59 38 73472 26 10 16 0 66
TMR_00568 0.72 0.66 0.78 65 60643 26 2 16 8 34
TMR_00571 0.77 0.71 0.83 70 60642 22 2 12 8 29
TMR_00580 0.53 0.47 0.59 47 60647 40 3 29 8 53
TMR_00584 0.71 0.65 0.79 63 60995 25 3 14 8 34
TMR_00586 0.61 0.52 0.72 50 61006 26 5 14 7 47
TMR_00616 0.66 0.57 0.77 56 67088 23 3 14 6 43
TMR_00699 0.54 0.38 0.76 39 67110 13 3 9 1 63
TMR_00702 0.42 0.32 0.56 32 67104 28 3 22 3 68
TMR_00703 0.56 0.41 0.76 41 67474 18 3 10 5 58

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