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 0.683 > 0.663
Average MCC ± 95% Confidence Intervals 0.706 ± 0.105 > 0.653 ± 0.116
Sensitivity 0.699 > 0.593
Positive Predictive Value 0.674 < 0.748
Total TP 494 > 419
Total TN 74670 < 74843
Total FP 382 > 230
Total FP CONTRA 74 > 61
Total FP INCONS 165 > 80
Total FP COMP 143 > 89
Total FN 213 < 288
P-value 1.43482349379e-06

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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 494
Total TN 74670
Total FP 382
Total FP CONTRA 74
Total FP INCONS 165
Total FP COMP 143
Total FN 213
Total Scores
MCC 0.683
Average MCC ± 95% Confidence Intervals 0.706 ± 0.105
Sensitivity 0.699
Positive Predictive Value 0.674
Nr of predictions 27

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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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.64 0.73 0.57 8 1821 25 0 6 19 3
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 1 23
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
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
3IZF_C 0.75 0.77 0.73 27 2603 15 0 10 5 8
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3JYX_3 0.77 0.80 0.75 12 2362 27 0 4 23 3
3JYX_4 0.61 0.83 0.45 10 4734 33 10 2 21 2
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_2 0.72 0.74 0.70 23 2721 19 0 10 9 8
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
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
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 419
Total TN 74843
Total FP 230
Total FP CONTRA 61
Total FP INCONS 80
Total FP COMP 89
Total FN 288
Total Scores
MCC 0.663
Average MCC ± 95% Confidence Intervals 0.653 ± 0.116
Sensitivity 0.593
Positive Predictive Value 0.748
Nr of predictions 27

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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
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2L94_A 0.53 0.50 0.60 9 342 7 0 6 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.00 0.00 0.00 0 1831 4 1 3 0 11
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.69 0.53 0.91 10 1146 2 0 1 1 9
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
3IZF_C 0.94 0.91 0.97 32 2607 4 0 1 3 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.80 0.80 0.80 12 2363 16 0 3 13 3
3JYX_4 0.59 0.75 0.47 9 4737 33 9 1 23 3
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_2 0.93 0.94 0.94 29 2723 10 0 2 8 2
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
4A1C_3 0.60 0.49 0.75 18 2739 8 0 6 2 19
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.