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

  1. Overview

  2. Performance Plots

  3. Performance of Afold - scored higher in this pairwise comparison

  4. Performance of RNAalifold(seed) - scored lower in this pairwise comparison

  5. Compile and download dataset for Afold & RNAalifold(seed) [.zip] - may take several seconds...


Overview

Metric Afold RNAalifold(seed)
MCC 0.501 > 0.484
Average MCC ± 95% Confidence Intervals 0.583 ± 0.142 > 0.446 ± 0.130
Sensitivity 0.466 > 0.283
Positive Predictive Value 0.541 < 0.829
Total TP 303 > 184
Total TN 201528 < 201866
Total FP 315 > 48
Total FP CONTRA 50 > 11
Total FP INCONS 207 > 27
Total FP COMP 58 > 10
Total FN 347 < 466
P-value 5.81039766894e-08

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Performance plots


  1. Comparison of performance of Afold and RNAalifold(seed). 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 Afold and RNAalifold(seed)).

  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 Afold and RNAalifold(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Afold and RNAalifold(seed). 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 Afold and RNAalifold(seed)).

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Performance of Afold - scored higher in this pairwise comparison

1. Total counts & total scores for Afold

Total Base Pair Counts
Total TP 303
Total TN 201528
Total FP 315
Total FP CONTRA 50
Total FP INCONS 207
Total FP COMP 58
Total FN 347
Total Scores
MCC 0.501
Average MCC ± 95% Confidence Intervals 0.583 ± 0.142
Sensitivity 0.466
Positive Predictive Value 0.541
Nr of predictions 16

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2. Individual counts for Afold [ 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
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2LC8_A 0.61 0.55 0.69 11 1524 6 0 5 1 9
3A3A_A 0.84 0.70 1.00 26 3629 0 0 0 0 11
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IYQ_A 0.31 0.34 0.29 32 60616 82 23 55 4 62
3IZ4_A 0.48 0.45 0.51 59 70760 58 11 46 1 73
3J3E_8 0.17 0.15 0.19 5 7477 31 2 19 10 28
3JYX_4 0.31 0.30 0.31 10 12214 35 5 17 13 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.74 0.61 0.90 28 6990 5 0 3 2 18
3O58_3 0.34 0.34 0.34 12 12368 37 2 21 14 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3W3S_B 0.50 0.45 0.56 18 4721 15 1 13 1 22
4A1C_2 0.14 0.15 0.14 5 11745 43 5 26 12 28
4ENB_A 0.67 0.58 0.79 11 1261 3 1 2 0 8

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Performance of RNAalifold(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RNAalifold(seed)

Total Base Pair Counts
Total TP 184
Total TN 201866
Total FP 48
Total FP CONTRA 11
Total FP INCONS 27
Total FP COMP 10
Total FN 466
Total Scores
MCC 0.484
Average MCC ± 95% Confidence Intervals 0.446 ± 0.130
Sensitivity 0.283
Positive Predictive Value 0.829
Nr of predictions 16

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2. Individual counts for RNAalifold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2KX8_A 0.00 0.00 0.00 0 861 0 0 0 0 18
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
3A3A_A 0.71 0.51 1.00 19 3636 0 0 0 0 18
3IVN_B 0.61 0.48 0.79 15 2327 4 2 2 0 16
3IYQ_A 0.38 0.21 0.69 20 60697 13 5 4 4 74
3IZ4_A 0.42 0.21 0.85 28 70843 5 1 4 0 104
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3JYX_4 0.46 0.21 1.00 7 12239 2 0 0 2 26
3LA5_A 0.63 0.47 0.84 16 2466 3 1 2 0 18
3NPB_A 0.66 0.48 0.92 22 6997 3 1 1 1 24
3O58_3 0.51 0.26 1.00 9 12394 0 0 0 0 26
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3W3S_B 0.67 0.45 1.00 18 4735 1 0 0 1 22
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13

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