CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of MXScarna(20) - scored higher in this pairwise comparison

  4. Performance of Sfold - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(20) Sfold
MCC 0.761 > 0.712
Average MCC ± 95% Confidence Intervals 0.767 ± 0.073 > 0.724 ± 0.094
Sensitivity 0.727 > 0.689
Positive Predictive Value 0.800 > 0.742
Total TP 533 > 505
Total TN 77473 > 77458
Total FP 288 < 300
Total FP CONTRA 56 > 48
Total FP INCONS 77 < 128
Total FP COMP 155 > 124
Total FN 200 < 228
P-value 5.23657817852e-08

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Performance plots


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

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

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Performance of MXScarna(20) - scored higher in this pairwise comparison

1. Total counts & total scores for MXScarna(20)

Total Base Pair Counts
Total TP 533
Total TN 77473
Total FP 288
Total FP CONTRA 56
Total FP INCONS 77
Total FP COMP 155
Total FN 200
Total Scores
MCC 0.761
Average MCC ± 95% Confidence Intervals 0.767 ± 0.073
Sensitivity 0.727
Positive Predictive Value 0.800
Nr of predictions 28

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2. Individual counts for MXScarna(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 0.73 0.72 0.76 13 340 5 0 4 1 5
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 3 0 0 3 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.88 0.86 0.91 30 2012 4 0 3 1 5
3A2K_C 0.74 0.73 0.76 16 1087 6 1 4 1 6
3AMU_B 1.00 1.00 1.00 19 1138 3 0 0 3 0
3G4S_9 0.78 0.77 0.80 20 2711 16 2 3 11 6
3GX2_A 0.81 0.79 0.85 22 1423 6 2 2 2 6
3IVN_B 0.81 0.74 0.89 17 884 2 2 0 0 6
3IZ4_A 0.58 0.54 0.63 51 25455 35 18 12 5 44
3IZF_C 0.87 0.89 0.86 31 2604 12 0 5 7 4
3JYV_7 0.95 0.90 1.00 18 1093 2 0 0 2 2
3JYX_3 0.73 0.73 0.73 11 2363 26 0 4 22 4
3JYX_4 0.70 0.83 0.59 10 4739 32 5 2 25 2
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.77 0.73 0.82 27 2245 9 2 4 3 10
3O58_2 0.92 0.90 0.93 28 2724 13 0 2 11 3
3O58_3 0.62 0.59 0.65 13 4744 18 5 2 11 9
3PDR_A 0.85 0.82 0.89 41 4794 9 2 3 4 9
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3SD1_A 0.74 0.76 0.73 22 1503 9 6 2 1 7
4A1C_3 0.80 0.78 0.83 29 2728 12 0 6 6 8
4A1C_2 0.22 0.25 0.21 5 4492 36 8 11 17 15
4AOB_A 0.68 0.69 0.69 20 1408 13 2 7 4 9
4ENB_A 0.29 0.13 0.67 2 469 1 0 1 0 13
4ENC_A 0.68 0.47 1.00 7 489 0 0 0 0 8

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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.