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(seed) - scored lower in this pairwise comparison

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


Overview

Metric RNAfold RSpredict(seed)
MCC 0.618 > 0.324
Average MCC ± 95% Confidence Intervals 0.649 ± 0.144 > 0.291 ± 0.143
Sensitivity 0.652 > 0.177
Positive Predictive Value 0.591 < 0.600
Total TP 375 > 102
Total TN 77080 < 77545
Total FP 316 > 78
Total FP CONTRA 110 > 17
Total FP INCONS 150 > 51
Total FP COMP 56 > 10
Total FN 200 < 473
P-value 3.13260312532e-08

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Performance plots


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

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

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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 375
Total TN 77080
Total FP 316
Total FP CONTRA 110
Total FP INCONS 150
Total FP COMP 56
Total FN 200
Total Scores
MCC 0.618
Average MCC ± 95% Confidence Intervals 0.649 ± 0.144
Sensitivity 0.652
Positive Predictive Value 0.591
Nr of predictions 19

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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
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 0 7
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 0.81 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
3IYQ_A 0.24 0.33 0.17 17 22340 95 45 38 12 34
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(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.