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

  1. Overview

  2. Performance Plots

  3. Performance of RSpredict(20) - scored higher in this pairwise comparison

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

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


Overview

Metric RSpredict(20) NanoFolder
MCC 0.354 > 0.152
Average MCC ± 95% Confidence Intervals 0.331 ± 0.063 > 0.151 ± 0.030
Sensitivity 0.223 > 0.174
Positive Predictive Value 0.564 > 0.135
Total TP 1161 > 910
Total TN 2964220 > 2959560
Total FP 1014 < 5926
Total FP CONTRA 133 < 786
Total FP INCONS 765 < 5023
Total FP COMP 116 < 117
Total FN 4056 < 4307
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RSpredict(20) and NanoFolder. 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 RSpredict(20) and NanoFolder).

  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 RSpredict(20) and NanoFolder).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RSpredict(20) and NanoFolder. 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 RSpredict(20) and NanoFolder).

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Performance of RSpredict(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 1161
Total TN 2964220
Total FP 1014
Total FP CONTRA 133
Total FP INCONS 765
Total FP COMP 116
Total FN 4056
Total Scores
MCC 0.354
Average MCC ± 95% Confidence Intervals 0.331 ± 0.063
Sensitivity 0.223
Positive Predictive Value 0.564
Nr of predictions 51

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
ASE_00083 0.14 0.06 0.32 7 62459 17 0 15 2 103
ASE_00185 0.13 0.07 0.26 9 73501 29 0 26 3 119
ASE_00190 0.00 0.00 0.00 0 45434 18 4 13 1 90
ASE_00221 0.26 0.13 0.54 15 64592 14 0 13 1 102
ASE_00228 0.72 0.63 0.82 54 46905 18 3 9 6 32
ASE_00229 0.56 0.39 0.81 34 42444 9 2 6 1 53
ASE_00231 0.18 0.08 0.40 8 47875 15 0 12 3 88
ASE_00234 0.30 0.19 0.47 24 75415 28 4 23 1 105
ASE_00238 0.02 0.01 0.04 1 64236 27 1 23 3 113
ASE_00248 0.30 0.16 0.58 18 62450 16 0 13 3 96
ASE_00254 0.29 0.12 0.71 10 36842 6 0 4 2 72
ASE_00255 0.29 0.15 0.59 19 74659 16 1 12 3 111
ASE_00257 0.00 0.00 0.00 0 51014 29 3 23 3 97
ASE_00267 0.45 0.32 0.65 28 45107 17 1 14 2 60
ASE_00270 0.24 0.14 0.42 18 72347 26 1 24 1 110
ASE_00274 0.18 0.07 0.47 7 55596 11 1 7 3 96
ASE_00277 0.11 0.05 0.24 5 48184 18 4 12 2 86
ASE_00279 0.61 0.48 0.79 48 53240 18 2 11 5 53
ASE_00285 0.39 0.25 0.60 31 68954 22 3 18 1 91
ASE_00287 0.16 0.08 0.33 8 54922 16 4 12 0 95
ASE_00294 0.15 0.08 0.29 14 114432 37 1 34 2 157
ASE_00298 0.24 0.12 0.50 13 67502 15 1 12 2 100
ASE_00318 0.60 0.48 0.74 57 80123 31 2 18 11 61
ASE_00335 0.68 0.61 0.76 71 75372 32 2 21 9 45
ASE_00340 0.59 0.41 0.83 35 46014 10 2 5 3 50
ASE_00367 0.27 0.15 0.50 13 43045 15 2 11 2 73
ASE_00370 0.13 0.06 0.29 5 41888 13 1 11 1 79
ASE_00372 0.44 0.29 0.67 29 51960 15 2 12 1 71
ASE_00376 0.43 0.25 0.76 26 56919 10 0 8 2 79
ASE_00377 0.18 0.09 0.36 10 57602 19 1 17 1 97
ASE_00386 0.13 0.05 0.33 5 50388 11 0 10 1 91
ASE_00393 0.36 0.22 0.61 20 47862 15 1 12 2 73
ASE_00412 0.15 0.08 0.30 8 58284 21 2 17 2 97
ASE_00413 0.00 0.00 0.00 0 44533 19 1 17 1 81
ASE_00416 0.08 0.02 0.27 3 77410 8 0 8 0 124
ASE_00422 0.04 0.02 0.07 2 46944 27 0 25 2 92
ASE_00428 0.04 0.02 0.13 2 76620 15 1 13 1 123
ASE_00430 0.20 0.09 0.45 9 46951 11 0 11 0 88
ASE_00437 0.57 0.41 0.81 55 79333 18 2 11 5 80
ASE_00451 0.41 0.25 0.67 31 70830 17 1 14 2 94
PDB_00571 0.66 0.56 0.78 14 3303 5 0 4 1 11
PDB_00828 0.82 0.74 0.91 20 2463 2 2 0 0 7
TMR_00123 0.67 0.61 0.73 62 66345 28 8 15 5 39
TMR_00399 0.27 0.16 0.47 15 64948 18 5 12 1 79
TMR_00443 0.68 0.64 0.73 67 67069 28 11 14 3 37
TMR_00469 0.52 0.40 0.69 40 64562 22 7 11 4 60
TMR_00519 0.22 0.15 0.34 14 63149 29 5 22 2 81
TMR_00528 0.42 0.38 0.46 37 63110 44 14 29 1 60
TMR_00571 0.43 0.40 0.47 40 60640 46 10 36 0 59
TMR_00584 0.43 0.38 0.48 37 60998 40 11 29 0 60
TMR_00703 0.69 0.64 0.76 63 67445 23 4 16 3 36

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Performance of NanoFolder - scored lower in this pairwise comparison

1. Total counts & total scores for NanoFolder

Total Base Pair Counts
Total TP 910
Total TN 2959560
Total FP 5926
Total FP CONTRA 786
Total FP INCONS 5023
Total FP COMP 117
Total FN 4307
Total Scores
MCC 0.152
Average MCC ± 95% Confidence Intervals 0.151 ± 0.030
Sensitivity 0.174
Positive Predictive Value 0.135
Nr of predictions 51

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
ASE_00083 0.22 0.25 0.20 27 62347 108 12 95 1 83
ASE_00185 0.17 0.19 0.16 24 73382 134 14 116 4 104
ASE_00190 0.24 0.28 0.21 25 45334 93 14 78 1 65
ASE_00221 0.20 0.21 0.18 25 64484 112 10 101 1 92
ASE_00228 0.05 0.06 0.04 5 46858 109 17 91 1 81
ASE_00229 0.12 0.14 0.11 12 42380 97 12 82 3 75
ASE_00231 0.37 0.42 0.33 40 47773 84 17 65 2 56
ASE_00234 0.25 0.27 0.23 35 75315 117 10 106 1 94
ASE_00238 0.26 0.30 0.23 34 64111 119 18 98 3 80
ASE_00248 0.13 0.15 0.12 17 62340 124 9 115 0 97
ASE_00254 0.15 0.16 0.14 13 36761 88 3 79 6 69
ASE_00255 0.11 0.12 0.10 16 74530 146 16 129 1 114
ASE_00257 0.37 0.42 0.33 41 50917 85 15 67 3 56
ASE_00267 0.00 0.00 0.00 0 45036 115 9 105 1 88
ASE_00270 0.19 0.21 0.17 27 72232 132 14 117 1 101
ASE_00274 0.00 0.00 0.00 0 55487 126 12 112 2 103
ASE_00277 0.10 0.12 0.08 11 48071 123 23 100 0 80
ASE_00279 0.14 0.16 0.13 16 53177 109 16 92 1 85
ASE_00285 0.34 0.36 0.31 44 68866 98 14 82 2 78
ASE_00287 0.15 0.17 0.14 17 54824 107 14 91 2 86
ASE_00294 0.12 0.13 0.12 23 114287 172 11 160 1 148
ASE_00298 0.09 0.10 0.08 11 67389 129 8 120 1 102
ASE_00318 0.03 0.04 0.03 5 80039 156 21 135 0 113
ASE_00335 0.10 0.12 0.09 14 75304 151 22 126 3 102
ASE_00340 0.06 0.07 0.05 6 45943 110 13 94 3 79
ASE_00367 0.08 0.09 0.07 8 42960 110 10 93 7 78
ASE_00370 0.03 0.04 0.03 3 41796 109 18 88 3 81
ASE_00372 0.17 0.20 0.15 20 51871 113 19 93 1 80
ASE_00376 0.00 0.00 0.00 0 56822 136 9 122 5 105
ASE_00377 0.25 0.27 0.23 29 57505 98 10 86 2 78
ASE_00386 0.14 0.16 0.13 15 50284 106 9 95 2 81
ASE_00393 0.31 0.35 0.27 33 47773 90 18 71 1 60
ASE_00412 0.15 0.17 0.14 18 58183 111 14 96 1 87
ASE_00413 0.08 0.10 0.07 8 44438 108 19 86 3 73
ASE_00416 0.39 0.43 0.35 54 77267 103 18 82 3 73
ASE_00422 0.28 0.31 0.25 29 46856 87 9 77 1 65
ASE_00428 0.24 0.26 0.22 33 76483 121 13 107 1 92
ASE_00430 0.16 0.18 0.14 17 46852 102 10 92 0 80
ASE_00437 0.00 0.00 0.00 0 79238 164 12 151 1 135
ASE_00451 0.20 0.22 0.19 27 70731 118 8 110 0 98
PDB_00571 -0.01 0.00 0.00 0 3286 36 6 29 1 25
PDB_00828 0.30 0.33 0.28 9 2453 23 0 23 0 18
TMR_00123 0.19 0.23 0.16 23 66283 126 20 104 2 78
TMR_00399 0.20 0.26 0.16 24 64833 130 38 85 7 70
TMR_00443 0.17 0.20 0.15 21 67018 126 24 98 4 83
TMR_00469 0.10 0.12 0.08 12 64469 145 27 112 6 88
TMR_00519 0.04 0.05 0.03 5 63046 141 33 106 2 90
TMR_00528 0.13 0.15 0.11 15 63051 131 20 104 7 82
TMR_00571 0.05 0.06 0.04 6 60577 149 19 124 6 93
TMR_00584 0.01 0.01 0.01 1 60922 159 33 119 7 96
TMR_00703 0.10 0.12 0.08 12 67376 140 26 114 0 87

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