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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(20) HotKnots
MCC 0.790 > 0.668
Average MCC ± 95% Confidence Intervals 0.783 ± 0.071 > 0.703 ± 0.100
Sensitivity 0.704 > 0.692
Positive Predictive Value 0.891 > 0.651
Total TP 631 > 620
Total TN 92154 > 91910
Total FP 174 < 476
Total FP CONTRA 24 < 105
Total FP INCONS 53 < 227
Total FP COMP 97 < 144
Total FN 265 < 276
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RNAalifold(20) and HotKnots. 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 RNAalifold(20) and HotKnots).

  2. Comparison of performance of RNAalifold(20) and HotKnots. 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 RNAalifold(20) and HotKnots).

  3. 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 RNAalifold(20) and HotKnots).

  4. 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 RNAalifold(20) and HotKnots).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and HotKnots. 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 RNAalifold(20) and HotKnots).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and HotKnots. 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 RNAalifold(20) and HotKnots).

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

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

Total Base Pair Counts
Total TP 631
Total TN 92154
Total FP 174
Total FP CONTRA 24
Total FP INCONS 53
Total FP COMP 97
Total FN 265
Total Scores
MCC 0.790
Average MCC ± 95% Confidence Intervals 0.783 ± 0.071
Sensitivity 0.704
Positive Predictive Value 0.891
Nr of predictions 34

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.62 0.40 1.00 4 170 0 0 0 0 6
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 1.00 1.00 1.00 19 1138 2 0 0 2 0
3G4S_9 0.96 0.92 1.00 24 2712 7 0 0 7 2
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.78 0.95 18 884 1 1 0 0 5
3IZ4_A 0.65 0.48 0.87 46 25483 15 4 3 8 49
3IZF_C 0.90 0.89 0.91 31 2606 6 0 3 3 4
3J20_0 0.95 0.95 0.95 20 1198 1 1 0 0 1
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.86 0.74 1.00 25 2995 2 0 0 2 9
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_4 0.77 0.83 0.71 10 4742 15 3 1 11 2
3JYX_3 0.76 0.73 0.79 11 2364 20 0 3 17 4
3LA5_A 0.87 0.76 1.00 19 935 0 0 0 0 6
3NPB_A 0.75 0.57 1.00 21 2257 4 0 0 4 16
3O58_2 0.97 0.94 1.00 29 2725 7 0 0 7 2
3O58_3 0.42 0.36 0.50 8 4748 9 3 5 1 14
3PDR_A 0.92 0.88 0.96 44 4794 3 1 1 1 6
3RKF_A 0.81 0.71 0.94 17 848 1 0 1 0 7
3SD1_A 0.84 0.86 0.83 25 1503 5 4 1 0 4
3ZEX_C 0.46 0.41 0.52 12 5351 16 2 9 5 17
3ZEX_D 0.91 0.89 0.94 31 2763 6 0 2 4 4
4A1C_3 0.90 0.84 0.97 31 2731 1 0 1 0 6
4A1C_2 0.22 0.25 0.19 5 4490 23 5 16 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7

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Performance of HotKnots - scored lower in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 620
Total TN 91910
Total FP 476
Total FP CONTRA 105
Total FP INCONS 227
Total FP COMP 144
Total FN 276
Total Scores
MCC 0.668
Average MCC ± 95% Confidence Intervals 0.703 ± 0.100
Sensitivity 0.692
Positive Predictive Value 0.651
Nr of predictions 34

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.64 0.73 0.57 8 1821 25 0 6 19 3
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 1 23
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3G4S_9 0.78 0.77 0.80 20 2711 14 2 3 9 6
3GX2_A 0.81 0.79 0.85 22 1423 5 2 2 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.56 0.60 0.52 57 25426 57 26 27 4 38
3IZF_C 0.89 0.91 0.86 32 2603 9 0 5 4 3
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J20_1 0.75 0.75 0.75 15 1092 8 0 5 3 5
3J2L_3 0.80 0.82 0.78 28 2984 12 1 7 4 6
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3JYX_4 0.61 0.83 0.45 10 4734 31 10 2 19 2
3JYX_3 0.77 0.80 0.75 12 2362 27 0 4 23 3
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.85 0.78 0.94 29 2247 6 0 2 4 8
3O58_2 0.87 0.87 0.87 27 2723 12 0 4 8 4
3O58_3 0.26 0.36 0.19 8 4722 35 16 18 1 14
3PDR_A 0.81 0.80 0.82 40 4791 11 3 6 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.77 0.76 0.79 22 1505 6 4 2 0 7
3ZEX_C -0.01 0.00 0.00 0 5328 46 11 35 0 29
3ZEX_D 0.90 0.86 0.94 30 2764 6 0 2 4 5
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
4A1C_2 0.19 0.25 0.15 5 4483 42 12 16 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15

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