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 0.592 > 0.529
Average MCC ± 95% Confidence Intervals 0.601 ± 0.070 > 0.578 ± 0.118
Sensitivity 0.437 < 0.456
Positive Predictive Value 0.807 > 0.618
Total TP 430 < 449
Total TN 198872 > 198678
Total FP 131 < 307
Total FP CONTRA 14 < 49
Total FP INCONS 89 < 229
Total FP COMP 28 < 29
Total FN 554 > 535
P-value 5.19332990918e-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 430
Total TN 198872
Total FP 131
Total FP CONTRA 14
Total FP INCONS 89
Total FP COMP 28
Total FN 554
Total Scores
MCC 0.592
Average MCC ± 95% Confidence Intervals 0.601 ± 0.070
Sensitivity 0.437
Positive Predictive Value 0.807
Nr of predictions 25

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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 0.67 0.45 1.00 5 401 0 0 0 0 6
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.77 0.67 0.90 18 2983 3 0 2 1 9
3G4S_9 0.58 0.39 0.88 22 7356 3 1 2 0 35
3GX2_A 0.61 0.38 1.00 15 4356 1 0 0 1 25
3IVN_B 0.69 0.48 1.00 15 2331 0 0 0 0 16
3IZ4_A 0.40 0.24 0.65 32 70827 21 1 16 4 100
3IZF_C 0.71 0.56 0.91 30 6870 4 0 3 1 24
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3JYX_3 0.60 0.52 0.70 14 6308 11 0 6 5 13
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
3LA5_A 0.68 0.47 1.00 16 2469 0 0 0 0 18
3NPB_A 0.55 0.35 0.89 16 7003 2 1 1 0 30
3O58_2 0.89 0.82 0.97 31 7228 2 0 1 1 7
3O58_3 0.33 0.23 0.47 8 12386 12 2 7 3 27
3PDR_A 0.70 0.53 0.93 38 12839 3 0 3 0 34
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14

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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 449
Total TN 198678
Total FP 307
Total FP CONTRA 49
Total FP INCONS 229
Total FP COMP 29
Total FN 535
Total Scores
MCC 0.529
Average MCC ± 95% Confidence Intervals 0.578 ± 0.118
Sensitivity 0.456
Positive Predictive Value 0.618
Nr of predictions 25

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.75 0.59 0.94 16 2986 3 0 1 2 11
3G4S_9 0.27 0.21 0.36 12 7348 21 1 20 0 45
3GX2_A 0.47 0.40 0.57 16 4343 13 1 11 1 24
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.42 0.36 0.49 47 70780 53 6 43 4 85
3IZF_C 0.68 0.56 0.83 30 6867 6 0 6 0 24
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3JYX_3 0.21 0.22 0.20 6 6298 24 9 15 0 21
3JYX_4 0.20 0.21 0.19 7 12210 33 8 21 4 26
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.81 0.67 0.97 31 6989 4 1 0 3 15
3O58_2 0.83 0.71 0.96 27 7232 2 0 1 1 11
3O58_3 0.26 0.26 0.26 9 12368 26 10 16 0 26
3PDR_A 0.69 0.56 0.87 40 12834 9 0 6 3 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.71 0.60 0.86 25 3887 4 0 4 0 17
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4A1C_2 0.15 0.15 0.15 5 11748 33 5 23 5 28
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4

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