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 Sfold - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(20) Sfold
MCC 0.765 > 0.712
Average MCC ± 95% Confidence Intervals 0.787 ± 0.078 > 0.724 ± 0.094
Sensitivity 0.671 < 0.689
Positive Predictive Value 0.875 > 0.742
Total TP 492 < 505
Total TN 77577 > 77458
Total FP 167 < 300
Total FP CONTRA 34 < 48
Total FP INCONS 36 < 128
Total FP COMP 97 < 124
Total FN 241 > 228
P-value 5.06544643719e-08

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Performance plots


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

  2. 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 Sfold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(20) and Sfold. 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 Sfold).

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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 492
Total TN 77577
Total FP 167
Total FP CONTRA 34
Total FP INCONS 36
Total FP COMP 97
Total FN 241
Total Scores
MCC 0.765
Average MCC ± 95% Confidence Intervals 0.787 ± 0.078
Sensitivity 0.671
Positive Predictive Value 0.875
Nr of predictions 28

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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
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.70 0.60 0.82 9 2367 14 0 2 12 6
3JYX_4 0.61 0.83 0.45 10 4734 26 10 2 14 2
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
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

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Performance of Sfold - scored lower in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 505
Total TN 77458
Total FP 300
Total FP CONTRA 48
Total FP INCONS 128
Total FP COMP 124
Total FN 228
Total Scores
MCC 0.712
Average MCC ± 95% Confidence Intervals 0.724 ± 0.094
Sensitivity 0.689
Positive Predictive Value 0.742
Nr of predictions 28

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2. Individual counts for Sfold [ 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 0.94 0.89 1.00 8 1144 14 0 0 14 1
2XKV_B 0.64 0.73 0.57 8 1821 25 0 6 19 3
2XQD_Y 0.85 0.81 0.89 17 1110 3 0 2 1 4
2XXA_G 0.37 0.34 0.41 12 2016 18 1 16 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 12 2 3 7 6
3GX2_A 0.86 0.79 0.96 22 1426 2 1 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.59 0.56 0.63 53 25452 34 14 17 3 42
3IZF_C 0.89 0.91 0.86 32 2603 8 0 5 3 3
3JYV_7 -0.02 0.00 0.00 0 1095 16 2 14 0 20
3JYX_3 0.77 0.80 0.75 12 2362 24 0 4 20 3
3JYX_4 0.68 0.83 0.56 10 4738 23 7 1 15 2
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 7 0 2 5 8
3O58_2 0.87 0.90 0.85 28 2721 11 0 5 6 3
3O58_3 0.51 0.50 0.52 11 4743 18 2 8 8 11
3PDR_A 0.82 0.80 0.85 40 4793 9 2 5 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.78 0.72 0.84 21 1508 4 2 2 0 8
4A1C_3 0.83 0.81 0.86 30 2728 7 0 5 2 7
4A1C_2 0.21 0.25 0.19 5 4489 34 8 14 12 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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