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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(20) Fold
MCC 0.683 > 0.526
Average MCC ± 95% Confidence Intervals 0.662 ± 0.120 > 0.476 ± 0.140
Sensitivity 0.603 > 0.562
Positive Predictive Value 0.779 > 0.499
Total TP 279 > 260
Total TN 62646 > 62483
Total FP 111 < 348
Total FP CONTRA 30 < 86
Total FP INCONS 49 < 175
Total FP COMP 32 < 87
Total FN 184 < 203
P-value 2.89169006118e-08

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Performance plots


  1. Comparison of performance of RNAalifold(20) and Fold. 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 RNAalifold(20) and Fold).

  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 RNAalifold(20) and Fold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and Fold. 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 RNAalifold(20) and Fold).

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

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

Total Base Pair Counts
Total TP 279
Total TN 62646
Total FP 111
Total FP CONTRA 30
Total FP INCONS 49
Total FP COMP 32
Total FN 184
Total Scores
MCC 0.683
Average MCC ± 95% Confidence Intervals 0.662 ± 0.120
Sensitivity 0.603
Positive Predictive Value 0.779
Nr of predictions 16

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2. Individual counts for RNAalifold(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3IZ4_A 0.65 0.48 0.87 46 25483 15 4 3 8 49
3J20_0 0.95 0.95 0.95 20 1198 1 1 0 0 1
3J3D_C 0.87 0.89 0.85 17 948 3 3 0 0 2
3J3E_8 0.34 0.33 0.36 5 2728 9 3 6 0 10
3J3F_8 0.54 0.58 0.50 11 4739 20 4 7 9 8
3NPB_A 0.75 0.57 1.00 21 2257 4 0 0 4 16
3O58_3 0.42 0.36 0.50 8 4748 9 3 5 1 14
3PDR_A 0.92 0.88 0.96 44 4794 3 1 1 1 6
3RKF_A 0.81 0.71 0.94 17 848 1 0 1 0 7
3SD1_A 0.84 0.86 0.83 25 1503 5 4 1 0 4
3ZEX_C 0.46 0.41 0.52 12 5351 16 2 9 5 17
4A1C_2 0.22 0.25 0.19 5 4490 23 5 16 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7

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Performance of Fold - scored lower in this pairwise comparison

1. Total counts & total scores for Fold

Total Base Pair Counts
Total TP 260
Total TN 62483
Total FP 348
Total FP CONTRA 86
Total FP INCONS 175
Total FP COMP 87
Total FN 203
Total Scores
MCC 0.526
Average MCC ± 95% Confidence Intervals 0.476 ± 0.140
Sensitivity 0.562
Positive Predictive Value 0.499
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3IZ4_A 0.60 0.61 0.59 58 25437 47 16 25 6 37
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J3D_C 0.47 0.53 0.43 10 945 13 5 8 0 9
3J3E_8 -0.01 0.00 0.00 0 2719 34 5 18 11 15
3J3F_8 0.32 0.42 0.25 8 4729 41 12 12 17 11
3NPB_A 0.77 0.73 0.82 27 2245 11 0 6 5 10
3O58_3 0.39 0.50 0.31 11 4728 41 9 16 16 11
3PDR_A 0.93 0.92 0.94 46 4791 5 1 2 2 4
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.68 0.69 0.69 20 1504 9 4 5 0 9
3ZEX_C 0.28 0.34 0.23 10 5330 46 9 25 12 19
4A1C_2 0.19 0.25 0.15 5 4482 43 11 18 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.37 0.33 0.45 5 461 7 0 6 1 10
4ENC_A 0.36 0.33 0.42 5 484 8 0 7 1 10
4FRG_B 0.22 0.25 0.23 6 1176 20 7 13 0 18

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