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 PknotsRG - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(20) PknotsRG
MCC 0.623 > 0.572
Average MCC ± 95% Confidence Intervals 0.649 ± 0.070 > 0.600 ± 0.085
Sensitivity 0.470 < 0.508
Positive Predictive Value 0.830 > 0.647
Total TP 614 < 663
Total TN 247720 > 247436
Total FP 189 < 451
Total FP CONTRA 23 < 45
Total FP INCONS 103 < 316
Total FP COMP 63 < 90
Total FN 691 > 642
P-value 3.56938820447e-08

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Performance plots


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

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

  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 PknotsRG).

  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 PknotsRG).

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

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

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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 PknotsRG - scored lower in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 663
Total TN 247436
Total FP 451
Total FP CONTRA 45
Total FP INCONS 316
Total FP COMP 90
Total FN 642
Total Scores
MCC 0.572
Average MCC ± 95% Confidence Intervals 0.600 ± 0.085
Sensitivity 0.508
Positive Predictive Value 0.647
Nr of predictions 34

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2. Individual counts for PknotsRG [ 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 0.53 0.53 0.53 9 2833 13 5 3 5 8
2XKV_B 0.51 0.50 0.53 10 4541 22 0 9 13 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 0.54 0.42 0.71 24 7347 10 1 9 0 33
3GX2_A 0.67 0.55 0.81 22 4344 6 0 5 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 0.59 0.52 0.67 28 6861 14 1 13 0 26
3J20_0 0.43 0.40 0.48 12 2825 14 0 13 1 18
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
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 0.31 0.30 0.32 10 12215 33 5 16 12 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 0.83 0.72 0.97 33 6987 3 0 1 2 13
3O58_2 0.59 0.61 0.58 23 7220 19 4 13 2 15
3O58_3 0.34 0.34 0.34 12 12368 34 2 21 11 23
3PDR_A 0.75 0.63 0.90 45 12830 7 1 4 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3ZEX_C 0.24 0.21 0.28 11 14157 43 1 27 15 41
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 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.