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 0.623 > 0.556
Average MCC ± 95% Confidence Intervals 0.649 ± 0.070 > 0.588 ± 0.088
Sensitivity 0.470 < 0.495
Positive Predictive Value 0.830 > 0.628
Total TP 614 < 646
Total TN 247720 > 247432
Total FP 189 < 450
Total FP CONTRA 23 < 58
Total FP INCONS 103 < 324
Total FP COMP 63 < 68
Total FN 691 > 659
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 614
Total TN 247720
Total FP 189
Total FP CONTRA 23
Total FP INCONS 103
Total FP COMP 63
Total FN 691
Total Scores
MCC 0.623
Average MCC ± 95% Confidence Intervals 0.649 ± 0.070
Sensitivity 0.470
Positive Predictive Value 0.830
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 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XKV_B 0.45 0.20 1.00 4 4556 2 0 0 2 16
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.31 0.10 1.00 4 5147 0 0 0 0 38
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.82 0.70 0.95 19 2983 3 0 1 2 8
3G4S_9 0.50 0.28 0.89 16 7363 2 1 1 0 41
3GX2_A 0.74 0.55 1.00 22 4349 1 0 0 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.47 0.32 0.69 42 70815 23 6 13 4 90
3IZF_C 0.74 0.57 0.97 31 6871 1 0 1 0 23
3J20_0 0.80 0.67 0.95 20 2829 2 0 1 1 10
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.45 0.32 0.63 17 7848 12 1 9 2 36
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_4 0.32 0.30 0.34 10 12217 26 4 15 7 23
3JYX_3 0.58 0.44 0.75 12 6312 11 0 4 7 15
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.68 0.48 0.96 22 6998 4 1 0 3 24
3O58_2 0.79 0.71 0.87 27 7229 5 2 2 1 11
3O58_3 0.43 0.34 0.55 12 12381 18 2 8 8 23
3PDR_A 0.70 0.53 0.93 38 12839 5 0 3 2 34
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.67 0.48 0.95 20 3895 1 0 1 0 22
3ZEX_C 0.27 0.19 0.38 10 14170 20 1 15 4 42
3ZEX_D 0.68 0.49 0.96 24 6996 1 0 1 0 25
4A1C_3 0.74 0.56 1.00 30 7110 0 0 0 0 24
4A1C_2 0.18 0.15 0.23 5 11759 30 0 17 13 28
4AOB_A 0.58 0.40 0.85 17 4351 4 0 3 1 25
4ENB_A 0.60 0.37 1.00 7 1268 0 0 0 0 12
4ENC_A 0.76 0.58 1.00 11 1315 0 0 0 0 8
4FRG_B 0.55 0.41 0.76 13 3469 4 0 4 0 19

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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 646
Total TN 247432
Total FP 450
Total FP CONTRA 58
Total FP INCONS 324
Total FP COMP 68
Total FN 659
Total Scores
MCC 0.556
Average MCC ± 95% Confidence Intervals 0.588 ± 0.088
Sensitivity 0.495
Positive Predictive Value 0.628
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 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XKV_B 0.51 0.50 0.53 10 4541 23 0 9 14 10
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.34 0.31 0.39 13 5118 20 1 19 0 29
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3G4S_9 0.50 0.39 0.65 22 7347 12 1 11 0 35
3GX2_A 0.68 0.55 0.85 22 4345 5 0 4 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.51 0.47 0.55 62 70763 52 10 41 1 70
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J20_0 0.45 0.40 0.52 12 2827 12 0 11 1 18
3J20_1 0.73 0.70 0.76 16 2905 7 0 5 2 7
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3JYV_7 -0.01 0.00 0.00 0 2828 22 1 21 0 32
3JYX_4 0.32 0.30 0.33 10 12216 31 5 15 11 23
3JYX_3 0.62 0.63 0.61 17 6300 22 1 10 11 10
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.78 0.65 0.94 30 6989 5 0 2 3 16
3O58_2 0.71 0.71 0.71 27 7222 12 4 7 1 11
3O58_3 0.23 0.26 0.21 9 12360 34 10 24 0 26
3PDR_A 0.67 0.56 0.82 40 12831 11 0 9 2 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
3ZEX_C 0.00 0.00 0.00 0 14150 46 6 40 0 52
3ZEX_D 0.78 0.67 0.92 33 6985 3 0 3 0 16
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.14 5 11745 42 6 25 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.32 0.28 0.38 9 3462 15 0 15 0 23

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