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 0.639 > 0.514
Average MCC ± 95% Confidence Intervals 0.655 ± 0.072 > 0.573 ± 0.098
Sensitivity 0.488 > 0.467
Positive Predictive Value 0.842 > 0.572
Total TP 572 > 548
Total TN 176905 > 176626
Total FP 166 < 466
Total FP CONTRA 17 < 56
Total FP INCONS 90 < 354
Total FP COMP 59 > 56
Total FN 601 < 625
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 572
Total TN 176905
Total FP 166
Total FP CONTRA 17
Total FP INCONS 90
Total FP COMP 59
Total FN 601
Total Scores
MCC 0.639
Average MCC ± 95% Confidence Intervals 0.655 ± 0.072
Sensitivity 0.488
Positive Predictive Value 0.842
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 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
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 Pknots - scored lower in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 548
Total TN 176626
Total FP 466
Total FP CONTRA 56
Total FP INCONS 354
Total FP COMP 56
Total FN 625
Total Scores
MCC 0.514
Average MCC ± 95% Confidence Intervals 0.573 ± 0.098
Sensitivity 0.467
Positive Predictive Value 0.572
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 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 12 5 3 4 7
2XKV_B 0.23 0.25 0.22 5 4537 31 1 17 13 15
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.32 0.31 0.34 13 5113 25 1 24 0 29
3A2K_C 0.45 0.43 0.48 12 2901 13 2 11 0 16
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3G4S_9 0.25 0.21 0.31 12 7342 27 0 27 0 45
3GX2_A 0.47 0.40 0.55 16 4342 14 1 12 1 24
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J20_0 0.84 0.70 1.00 21 2829 1 0 0 1 9
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.62 0.51 0.75 27 7839 12 0 9 3 26
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_4 0.18 0.21 0.16 7 12203 41 13 23 5 26
3JYX_3 0.34 0.37 0.31 10 6296 24 9 13 2 17
3LA5_A 0.80 0.65 1.00 22 2463 0 0 0 0 12
3NPB_A 0.76 0.67 0.86 31 6985 8 1 4 3 15
3O58_2 0.83 0.74 0.93 28 7230 3 0 2 1 10
3O58_3 0.27 0.31 0.24 11 12357 38 11 24 3 24
3PDR_A 0.54 0.44 0.65 32 12831 19 0 17 2 40
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.65 0.52 0.81 22 3889 5 0 5 0 20
3ZEX_C 0.07 0.08 0.07 4 14141 54 4 47 3 48
3ZEX_D 0.27 0.24 0.30 12 6981 28 0 28 0 37
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4A1C_2 0.24 0.24 0.25 8 11749 36 3 21 12 25
4AOB_A 0.17 0.14 0.21 6 4343 23 1 21 1 36
4ENB_A 0.83 0.79 0.88 15 1258 2 1 1 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.48 0.38 0.63 12 3467 7 0 7 0 20

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