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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold RSpredict(seed)
MCC 0.632 > 0.324
Average MCC ± 95% Confidence Intervals 0.655 ± 0.137 > 0.291 ± 0.143
Sensitivity 0.623 > 0.177
Positive Predictive Value 0.646 > 0.600
Total TP 358 > 102
Total TN 77161 < 77545
Total FP 242 > 78
Total FP CONTRA 79 > 17
Total FP INCONS 117 > 51
Total FP COMP 46 > 10
Total FN 217 < 473
P-value 3.07760058607e-08

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Performance plots


  1. Comparison of performance of Sfold and RSpredict(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 Sfold and RSpredict(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 Sfold and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Sfold and RSpredict(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 Sfold and RSpredict(seed)).

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 358
Total TN 77161
Total FP 242
Total FP CONTRA 79
Total FP INCONS 117
Total FP COMP 46
Total FN 217
Total Scores
MCC 0.632
Average MCC ± 95% Confidence Intervals 0.655 ± 0.137
Sensitivity 0.623
Positive Predictive Value 0.646
Nr of predictions 19

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.46 0.39 0.58 7 516 5 0 5 0 11
2ZZN_D 0.93 0.95 0.91 21 961 3 2 0 1 1
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3GX2_A 0.86 0.79 0.96 22 1426 2 1 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.25 0.33 0.19 17 22350 86 39 34 13 34
3IZ4_A 0.59 0.56 0.63 53 25452 34 14 17 3 42
3JYV_7 -0.02 0.00 0.00 0 1095 16 2 14 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.85 0.78 0.94 29 2247 7 0 2 5 8
3O58_3 0.51 0.50 0.52 11 4743 18 2 8 8 11
3PDR_A 0.82 0.80 0.85 40 4793 9 2 5 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.78 0.72 0.84 21 1508 4 2 2 0 8
4A1C_2 0.21 0.25 0.19 5 4489 34 8 14 12 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 0 0 0 0 4
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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

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

Total Base Pair Counts
Total TP 102
Total TN 77545
Total FP 78
Total FP CONTRA 17
Total FP INCONS 51
Total FP COMP 10
Total FN 473
Total Scores
MCC 0.324
Average MCC ± 95% Confidence Intervals 0.291 ± 0.143
Sensitivity 0.177
Positive Predictive Value 0.600
Nr of predictions 19

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IYQ_A 0.16 0.10 0.26 5 22421 21 10 4 7 46
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12

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