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 Pknots - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(20) Pknots
MCC 0.777 > 0.619
Average MCC ± 95% Confidence Intervals 0.782 ± 0.073 > 0.673 ± 0.110
Sensitivity 0.693 > 0.663
Positive Predictive Value 0.875 > 0.587
Total TP 555 > 531
Total TN 66692 > 66421
Total FP 183 < 483
Total FP CONTRA 26 < 124
Total FP INCONS 53 < 250
Total FP COMP 104 < 109
Total FN 246 < 270
P-value 3.56938820447e-08

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Performance plots


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

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

  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 Pknots).

  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 Pknots).

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

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

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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 555
Total TN 66692
Total FP 183
Total FP CONTRA 26
Total FP INCONS 53
Total FP COMP 104
Total FN 246
Total Scores
MCC 0.777
Average MCC ± 95% Confidence Intervals 0.782 ± 0.073
Sensitivity 0.693
Positive Predictive Value 0.875
Nr of predictions 33

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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
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 Pknots - scored lower in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 531
Total TN 66421
Total FP 483
Total FP CONTRA 124
Total FP INCONS 250
Total FP COMP 109
Total FN 270
Total Scores
MCC 0.619
Average MCC ± 95% Confidence Intervals 0.673 ± 0.110
Sensitivity 0.663
Positive Predictive Value 0.587
Nr of predictions 33

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2. Individual counts for Pknots [ 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 13 0 0 13 0
2XKV_B 0.21 0.27 0.17 3 1817 33 3 12 18 8
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.32 0.34 0.32 12 2008 26 1 24 1 23
3A2K_C 0.50 0.55 0.48 12 1083 13 3 10 0 10
3AMU_B 1.00 1.00 1.00 19 1138 3 0 0 3 0
3G4S_9 0.37 0.46 0.31 12 2697 27 14 13 0 14
3GX2_A 0.55 0.57 0.55 16 1420 14 4 9 1 12
3IVN_B 0.91 0.87 0.95 20 882 1 0 1 0 3
3IZF_C 0.89 0.91 0.86 32 2603 9 0 5 4 3
3J20_0 0.95 0.95 0.95 20 1198 2 1 0 1 1
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.79 0.79 0.79 27 2986 12 1 6 5 7
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_4 0.33 0.58 0.19 7 4720 41 22 7 12 5
3JYX_3 0.37 0.53 0.27 8 2348 26 17 5 4 7
3LA5_A 0.94 0.88 1.00 22 932 0 0 0 0 3
3NPB_A 0.84 0.81 0.88 30 2244 9 0 4 5 7
3O58_2 0.93 0.90 0.97 28 2725 3 0 1 2 3
3O58_3 0.32 0.45 0.24 10 4722 39 18 14 7 12
3PDR_A 0.64 0.64 0.65 32 4791 19 4 13 2 18
3RKF_A 0.91 0.88 0.95 21 844 1 0 1 0 3
3SD1_A 0.78 0.76 0.81 22 1506 5 1 4 0 7
3ZEX_C 0.10 0.14 0.08 4 5322 54 13 35 6 25
3ZEX_D 0.31 0.34 0.30 12 2756 28 5 23 0 23
4A1C_3 0.28 0.30 0.28 11 2723 30 4 25 1 26
4A1C_2 0.33 0.40 0.29 8 4488 36 9 11 16 12
4AOB_A 0.19 0.21 0.21 6 1409 23 3 19 1 23
4ENB_A 1.00 1.00 1.00 15 457 2 0 0 2 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.55 0.50 0.63 12 1183 7 0 7 0 12

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