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

  1. Overview

  2. Performance Plots

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

  4. Performance of RSpredict(20) - scored lower in this pairwise comparison

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


Overview

Metric RNAfold RSpredict(20)
MCC 0.643 > 0.624
Average MCC ± 95% Confidence Intervals 0.637 ± 0.166 > 0.613 ± 0.166
Sensitivity 0.656 > 0.559
Positive Predictive Value 0.637 < 0.702
Total TP 298 > 254
Total TN 51795 < 51901
Total FP 213 > 133
Total FP CONTRA 63 > 51
Total FP INCONS 107 > 57
Total FP COMP 43 > 25
Total FN 156 < 200
P-value 7.1187875805e-05

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Performance plots


  1. Comparison of performance of RNAfold and RSpredict(20). 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 RNAfold and RSpredict(20)).

  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 RNAfold and RSpredict(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAfold and RSpredict(20). 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 RNAfold and RSpredict(20)).

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Performance of RNAfold - scored higher in this pairwise comparison

1. Total counts & total scores for RNAfold

Total Base Pair Counts
Total TP 298
Total TN 51795
Total FP 213
Total FP CONTRA 63
Total FP INCONS 107
Total FP COMP 43
Total FN 156
Total Scores
MCC 0.643
Average MCC ± 95% Confidence Intervals 0.637 ± 0.166
Sensitivity 0.656
Positive Predictive Value 0.637
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3GX2_A 0.81 0.79 0.85 22 1423 5 2 2 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.56 0.60 0.52 57 25426 57 26 27 4 38
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.91 0.86 0.97 32 2245 5 1 0 4 5
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.77 0.76 0.79 22 1505 6 4 2 0 7
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 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.37 0.33 0.45 5 485 7 0 6 1 10

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Performance of RSpredict(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 254
Total TN 51901
Total FP 133
Total FP CONTRA 51
Total FP INCONS 57
Total FP COMP 25
Total FN 200
Total Scores
MCC 0.624
Average MCC ± 95% Confidence Intervals 0.613 ± 0.166
Sensitivity 0.559
Positive Predictive Value 0.702
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3IZ4_A 0.61 0.57 0.67 54 25455 38 13 14 11 41
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 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.