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 Vsfold5 - scored lower in this pairwise comparison

  5. Compile and download dataset for Murlet(20) & Vsfold5 [.zip] - may take several seconds...


Overview

Metric Murlet(20) Vsfold5
MCC 0.704 > 0.484
Average MCC ± 95% Confidence Intervals 0.706 ± 0.072 > 0.540 ± 0.144
Sensitivity 0.596 > 0.488
Positive Predictive Value 0.837 > 0.488
Total TP 437 > 358
Total TN 77617 > 77406
Total FP 155 < 463
Total FP CONTRA 21 < 102
Total FP INCONS 64 < 273
Total FP COMP 70 < 88
Total FN 296 < 375
P-value 5.1503931209e-08

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Performance plots


  1. Comparison of performance of Murlet(20) and Vsfold5. 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 Vsfold5).

  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 Vsfold5).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) and Vsfold5. 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 Vsfold5).

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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 Vsfold5 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold5

Total Base Pair Counts
Total TP 358
Total TN 77406
Total FP 463
Total FP CONTRA 102
Total FP INCONS 273
Total FP COMP 88
Total FN 375
Total Scores
MCC 0.484
Average MCC ± 95% Confidence Intervals 0.540 ± 0.144
Sensitivity 0.488
Positive Predictive Value 0.488
Nr of predictions 28

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2. Individual counts for Vsfold5 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.90 1.00 9 165 0 0 0 0 1
2L94_A 0.97 0.94 1.00 17 340 1 0 0 1 1
2WRQ_Y 0.94 0.89 1.00 8 1144 13 0 0 13 1
2XKV_B -0.01 0.00 0.00 0 1803 32 17 15 0 11
2XQD_Y 0.95 0.90 1.00 19 1110 1 0 0 1 2
2XXA_G -0.02 0.00 0.00 0 2014 31 2 29 0 35
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3AMU_B 0.77 0.79 0.75 15 1137 8 0 5 3 4
3G4S_9 0.12 0.15 0.11 4 2699 33 9 24 0 22
3GX2_A 0.61 0.57 0.67 16 1425 9 0 8 1 12
3IVN_B 0.88 0.78 1.00 18 885 0 0 0 0 5
3IZ4_A 0.31 0.31 0.33 29 25448 65 14 45 6 66
3IZF_C 0.85 0.83 0.88 29 2607 5 0 4 1 6
3JYV_7 -0.02 0.00 0.00 0 1092 19 4 15 0 20
3JYX_3 0.12 0.13 0.11 2 2360 20 6 10 4 13
3JYX_4 0.63 0.83 0.48 10 4735 32 9 2 21 2
3LA5_A -0.02 0.00 0.00 0 938 16 0 16 0 25
3NPB_A 0.62 0.54 0.71 20 2250 10 1 7 2 17
3O58_2 0.50 0.52 0.50 16 2722 19 3 13 3 15
3O58_3 0.51 0.59 0.45 13 4735 28 11 5 12 9
3PDR_A 0.69 0.64 0.74 32 4797 13 3 8 2 18
3RKF_A 0.90 0.92 0.88 22 841 3 3 0 0 2
3SD1_A 0.13 0.14 0.15 4 1507 22 5 17 0 25
4A1C_3 0.29 0.30 0.31 11 2727 26 4 21 1 26
4A1C_2 0.33 0.40 0.28 8 4487 37 8 13 16 12
4AOB_A 0.21 0.21 0.25 6 1413 19 2 16 1 23
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.