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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Murlet(20) McQFold
MCC 0.704 > 0.625
Average MCC ± 95% Confidence Intervals 0.706 ± 0.072 > 0.669 ± 0.125
Sensitivity 0.596 < 0.638
Positive Predictive Value 0.837 > 0.619
Total TP 437 < 468
Total TN 77617 > 77383
Total FP 155 < 369
Total FP CONTRA 21 < 101
Total FP INCONS 64 < 187
Total FP COMP 70 < 81
Total FN 296 > 265
P-value 5.1503931209e-08

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Performance plots


  1. Comparison of performance of Murlet(20) and McQFold. 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 Murlet(20) and McQFold).

  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 Murlet(20) and McQFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) and McQFold. 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 Murlet(20) and McQFold).

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

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

Total Base Pair Counts
Total TP 437
Total TN 77617
Total FP 155
Total FP CONTRA 21
Total FP INCONS 64
Total FP COMP 70
Total FN 296
Total Scores
MCC 0.704
Average MCC ± 95% Confidence Intervals 0.706 ± 0.072
Sensitivity 0.596
Positive Predictive Value 0.837
Nr of predictions 28

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2. Individual counts for Murlet(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.70 0.50 1.00 5 169 0 0 0 0 5
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.63 0.67 0.60 6 1142 13 1 3 9 3
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.88 0.86 0.90 18 1109 3 0 2 1 3
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.89 0.89 0.89 17 1138 4 0 2 2 2
3G4S_9 0.85 0.77 0.95 20 2715 5 0 1 4 6
3GX2_A 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3IZF_C 0.88 0.83 0.94 29 2609 5 0 2 3 6
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_2 1.00 1.00 1.00 31 2723 2 0 0 2 0
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
4A1C_3 0.72 0.59 0.88 22 2738 4 0 3 1 15
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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Performance of McQFold - scored lower in this pairwise comparison

1. Total counts & total scores for McQFold

Total Base Pair Counts
Total TP 468
Total TN 77383
Total FP 369
Total FP CONTRA 101
Total FP INCONS 187
Total FP COMP 81
Total FN 265
Total Scores
MCC 0.625
Average MCC ± 95% Confidence Intervals 0.669 ± 0.125
Sensitivity 0.638
Positive Predictive Value 0.619
Nr of predictions 28

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2. Individual counts for McQFold [ 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 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.33 0.36 0.31 4 1822 27 2 7 18 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.27 0.26 0.30 9 2015 22 0 21 1 26
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 0.86 0.79 0.94 15 1141 4 0 1 3 4
3G4S_9 0.39 0.42 0.37 11 2706 22 6 13 3 15
3GX2_A 0.56 0.57 0.57 16 1421 13 4 8 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.46 0.46 0.47 44 25442 56 14 36 6 51
3IZF_C 0.85 0.83 0.88 29 2607 7 0 4 3 6
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3JYX_3 0.28 0.40 0.20 6 2348 24 17 7 0 9
3JYX_4 0.35 0.58 0.22 7 4724 33 17 8 8 5
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.90 0.81 1.00 30 2248 5 0 0 5 7
3O58_2 0.93 0.87 1.00 27 2727 2 0 0 2 4
3O58_3 0.30 0.36 0.25 8 4732 27 15 9 3 14
3PDR_A 0.83 0.80 0.87 40 4794 9 2 4 3 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.82 0.83 0.83 24 1504 5 1 4 0 5
4A1C_3 0.28 0.30 0.28 11 2724 30 4 24 2 26
4A1C_2 0.19 0.25 0.16 5 4484 33 11 16 6 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0

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