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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(20) HotKnots
MCC 0.751 > 0.668
Average MCC ± 95% Confidence Intervals 0.774 ± 0.073 > 0.703 ± 0.100
Sensitivity 0.663 < 0.692
Positive Predictive Value 0.856 > 0.651
Total TP 594 < 620
Total TN 92168 > 91910
Total FP 209 < 476
Total FP CONTRA 41 < 105
Total FP INCONS 59 < 227
Total FP COMP 109 < 144
Total FN 302 > 276
P-value 3.56938820447e-08

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Performance plots


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

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

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

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

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

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

Total Base Pair Counts
Total TP 594
Total TN 92168
Total FP 209
Total FP CONTRA 41
Total FP INCONS 59
Total FP COMP 109
Total FN 302
Total Scores
MCC 0.751
Average MCC ± 95% Confidence Intervals 0.774 ± 0.073
Sensitivity 0.663
Positive Predictive Value 0.856
Nr of predictions 34

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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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.34 0.11 1.00 4 2041 0 0 0 0 31
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 0.95 0.95 0.95 18 1138 4 0 1 3 1
3G4S_9 0.73 0.54 1.00 14 2722 4 0 0 4 12
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.41 0.65 39 25476 26 15 6 5 56
3IZF_C 0.92 0.86 1.00 30 2610 2 0 0 2 5
3J20_0 0.90 0.90 0.90 19 1198 3 1 1 1 2
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.56 0.50 0.63 17 2993 12 3 7 2 17
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_4 0.61 0.83 0.45 10 4734 26 10 2 14 2
3JYX_3 0.70 0.60 0.82 9 2367 14 0 2 12 6
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.75 0.57 1.00 21 2257 5 0 0 5 16
3O58_2 0.93 0.87 1.00 27 2727 5 0 0 5 4
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
3ZEX_C 0.35 0.31 0.39 9 5351 21 3 11 7 20
3ZEX_D 0.83 0.69 1.00 24 2772 1 0 0 1 11
4A1C_3 0.90 0.81 1.00 30 2733 0 0 0 0 7
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4
4FRG_B 0.64 0.54 0.76 13 1185 4 0 4 0 11

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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.