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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric IPknot PPfold(seed)
MCC 0.644 > 0.202
Average MCC ± 95% Confidence Intervals 0.621 ± 0.143 > 0.099 ± 0.109
Sensitivity 0.623 > 0.066
Positive Predictive Value 0.673 > 0.634
Total TP 245 > 26
Total TN 32347 < 32670
Total FP 157 > 80
Total FP CONTRA 41 > 1
Total FP INCONS 78 > 14
Total FP COMP 38 < 65
Total FN 148 < 367
P-value 2.34821445183e-08

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Performance plots


  1. Comparison of performance of IPknot and PPfold(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 IPknot and PPfold(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 IPknot and PPfold(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for IPknot and PPfold(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 IPknot and PPfold(seed)).

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 245
Total TN 32347
Total FP 157
Total FP CONTRA 41
Total FP INCONS 78
Total FP COMP 38
Total FN 148
Total Scores
MCC 0.644
Average MCC ± 95% Confidence Intervals 0.621 ± 0.143
Sensitivity 0.623
Positive Predictive Value 0.673
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.41 0.33 0.55 6 517 5 1 4 0 12
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J3D_C 0.52 0.53 0.53 10 949 9 3 6 0 9
3J3E_8 -0.01 0.00 0.00 0 2723 25 5 14 6 15
3J3F_8 0.36 0.47 0.28 9 4729 40 11 12 17 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.74 0.69 0.80 20 1508 5 0 5 0 9
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.94 0.91 0.97 30 1958 2 0 1 1 3
3ZEX_C 0.51 0.34 0.77 10 5361 7 1 2 4 19
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
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 0.59 0.53 0.67 8 484 4 0 4 0 7
4FRG_B 0.75 0.71 0.81 17 1181 4 3 1 0 7
4FRN_A 0.79 0.71 0.87 20 1825 3 1 2 0 8
4JF2_A 0.96 0.96 0.96 23 1058 1 1 0 0 1

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

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

Total Base Pair Counts
Total TP 26
Total TN 32670
Total FP 80
Total FP CONTRA 1
Total FP INCONS 14
Total FP COMP 65
Total FN 367
Total Scores
MCC 0.202
Average MCC ± 95% Confidence Intervals 0.099 ± 0.109
Sensitivity 0.066
Positive Predictive Value 0.634
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.49 0.33 0.75 6 520 2 0 2 0 12
3J20_0 0.00 0.00 0.00 0 1219 0 0 0 0 21
3J3D_C 0.00 0.00 0.00 0 968 0 0 0 0 19
3J3E_8 0.00 0.00 0.00 0 2742 6 0 0 6 15
3J3F_8 0.19 0.11 0.33 2 4755 24 0 4 20 17
3RKF_A 0.00 0.00 0.00 0 866 0 0 0 0 24
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W1K_J 0.00 0.00 0.00 0 1678 0 0 0 0 31
3W3S_B 0.00 0.00 0.00 0 1989 0 0 0 0 33
3ZEX_C 0.15 0.07 0.33 2 5368 24 0 4 20 27
4A1C_2 0.10 0.05 0.20 1 4511 23 0 4 19 19
4AOB_A 0.00 0.00 0.00 0 1437 0 0 0 0 29
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 0 24
4FRN_A 0.00 0.00 0.00 0 1848 0 0 0 0 28
4JF2_A 0.76 0.63 0.94 15 1066 1 1 0 0 9

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