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 0.693 > 0.641
Average MCC ± 95% Confidence Intervals 0.690 ± 0.070 > 0.683 ± 0.107
Sensitivity 0.594 < 0.648
Positive Predictive Value 0.815 > 0.641
Total TP 532 < 581
Total TN 92209 > 91955
Total FP 202 < 419
Total FP CONTRA 25 < 109
Total FP INCONS 96 < 217
Total FP COMP 81 < 93
Total FN 364 > 315
P-value 3.56938820447e-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. 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).

  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 Murlet(20) and McQFold).

  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 Murlet(20) and McQFold).

  5. 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).

  6. 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 532
Total TN 92209
Total FP 202
Total FP CONTRA 25
Total FP INCONS 96
Total FP COMP 81
Total FN 364
Total Scores
MCC 0.693
Average MCC ± 95% Confidence Intervals 0.690 ± 0.070
Sensitivity 0.594
Positive Predictive Value 0.815
Nr of predictions 34

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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
3J20_0 0.65 0.62 0.68 13 1200 6 1 5 0 8
3J20_1 0.69 0.60 0.80 12 1097 4 0 3 1 8
3J2L_3 0.84 0.74 0.96 25 2994 4 0 1 3 9
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
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
3ZEX_C 0.42 0.38 0.48 11 5351 16 2 10 4 18
3ZEX_D 0.90 0.86 0.94 30 2764 5 0 2 3 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
4FRG_B 0.19 0.17 0.25 4 1186 12 1 11 0 20

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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 581
Total TN 91955
Total FP 419
Total FP CONTRA 109
Total FP INCONS 217
Total FP COMP 93
Total FN 315
Total Scores
MCC 0.641
Average MCC ± 95% Confidence Intervals 0.683 ± 0.107
Sensitivity 0.648
Positive Predictive Value 0.641
Nr of predictions 34

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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
3J20_0 0.74 0.76 0.73 16 1197 7 3 3 1 5
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.71 0.68 0.74 23 2989 11 0 8 3 11
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3JYX_4 0.35 0.58 0.22 7 4724 33 17 8 8 5
3JYX_3 0.28 0.40 0.20 6 2348 24 17 7 0 9
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
3ZEX_C 0.33 0.34 0.32 10 5343 25 4 17 4 19
3ZEX_D 0.76 0.66 0.88 23 2770 6 1 2 3 12
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
4FRG_B 0.93 0.88 1.00 21 1181 0 0 0 0 3

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