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

  1. Overview

  2. Performance Plots

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

  4. Performance of Vsfold4 - scored lower in this pairwise comparison

  5. Compile and download dataset for Mastr(20) & Vsfold4 [.zip] - may take several seconds...


Overview

Metric Mastr(20) Vsfold4
MCC 0.636 > 0.531
Average MCC ± 95% Confidence Intervals 0.618 ± 0.136 > 0.581 ± 0.130
Sensitivity 0.483 < 0.528
Positive Predictive Value 0.845 > 0.544
Total TP 354 < 387
Total TN 77720 > 77427
Total FP 137 < 410
Total FP CONTRA 12 < 87
Total FP INCONS 53 < 238
Total FP COMP 72 < 85
Total FN 379 > 346
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of Mastr(20) and Vsfold4. 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 Mastr(20) and Vsfold4).

  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 Mastr(20) and Vsfold4).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Mastr(20) and Vsfold4. 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 Mastr(20) and Vsfold4).

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

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

Total Base Pair Counts
Total TP 354
Total TN 77720
Total FP 137
Total FP CONTRA 12
Total FP INCONS 53
Total FP COMP 72
Total FN 379
Total Scores
MCC 0.636
Average MCC ± 95% Confidence Intervals 0.618 ± 0.136
Sensitivity 0.483
Positive Predictive Value 0.845
Nr of predictions 28

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2. Individual counts for Mastr(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 0.88 0.83 0.94 15 341 2 0 1 1 3
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 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 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.81 0.77 0.85 17 1088 3 0 3 0 5
3AMU_B 0.89 0.79 1.00 15 1142 2 0 0 2 4
3G4S_9 0.68 0.62 0.76 16 2715 10 2 3 5 10
3GX2_A 0.46 0.39 0.55 11 1429 10 2 7 1 17
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3IZ4_A 0.00 0.00 0.00 0 25536 0 0 0 0 95
3IZF_C 0.91 0.91 0.91 32 2605 9 0 3 6 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.77 0.80 0.75 12 2362 26 0 4 22 3
3JYX_4 0.00 0.00 0.00 0 4756 0 0 0 0 12
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.34 0.30 0.41 11 2251 18 1 15 2 26
3O58_2 0.93 0.94 0.94 29 2723 12 0 2 10 2
3O58_3 0.00 0.00 0.00 0 4764 0 0 0 0 22
3PDR_A 0.00 0.00 0.00 0 4840 0 0 0 0 50
3RKF_A 0.84 0.71 1.00 17 849 0 0 0 0 7
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
4A1C_2 0.00 0.00 0.00 0 4516 0 0 0 0 20
4AOB_A 0.42 0.34 0.53 10 1418 10 1 8 1 19
4ENB_A 0.44 0.20 1.00 3 469 0 0 0 0 12
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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Performance of Vsfold4 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 387
Total TN 77427
Total FP 410
Total FP CONTRA 87
Total FP INCONS 238
Total FP COMP 85
Total FN 346
Total Scores
MCC 0.531
Average MCC ± 95% Confidence Intervals 0.581 ± 0.130
Sensitivity 0.528
Positive Predictive Value 0.544
Nr of predictions 28

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2. Individual counts for Vsfold4 [ 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 0.94 0.89 1.00 16 341 1 0 0 1 2
2WRQ_Y 0.94 0.89 1.00 8 1144 13 0 0 13 1
2XKV_B -0.01 0.00 0.00 0 1808 27 13 14 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 2016 29 1 28 0 35
3A2K_C 0.95 0.91 1.00 20 1088 0 0 0 0 2
3AMU_B 0.73 0.74 0.74 14 1138 8 0 5 3 5
3G4S_9 0.41 0.46 0.38 12 2704 21 10 10 1 14
3GX2_A 0.60 0.57 0.64 16 1424 10 0 9 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.39 0.39 0.39 37 25441 63 15 43 5 58
3IZF_C 0.85 0.83 0.88 29 2607 6 0 4 2 6
3JYV_7 -0.02 0.00 0.00 0 1092 19 4 15 0 20
3JYX_3 0.64 0.67 0.63 10 2362 16 5 1 10 5
3JYX_4 0.19 0.25 0.15 3 4736 33 9 8 16 9
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.66 0.59 0.73 22 2248 10 0 8 2 15
3O58_2 0.53 0.52 0.55 16 2725 16 3 10 3 15
3O58_3 0.12 0.14 0.11 3 4737 35 8 16 11 19
3PDR_A 0.69 0.64 0.74 32 4797 13 3 8 2 18
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.23 0.24 0.24 7 1504 22 5 17 0 22
4A1C_3 0.29 0.30 0.31 11 2727 26 4 21 1 26
4A1C_2 0.36 0.40 0.33 8 4492 28 4 12 12 12
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.77 0.60 1.00 9 487 0 0 0 0 6

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