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

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(20) - scored higher in this pairwise comparison

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

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


Overview

Metric Murlet(20) RSpredict(seed)
MCC 0.666 > 0.350
Average MCC ± 95% Confidence Intervals 0.679 ± 0.114 > 0.300 ± 0.175
Sensitivity 0.548 > 0.181
Positive Predictive Value 0.814 > 0.689
Total TP 249 > 82
Total TN 51957 < 52144
Total FP 79 > 40
Total FP CONTRA 17 > 6
Total FP INCONS 40 > 31
Total FP COMP 22 > 3
Total FN 205 < 372
P-value 1.74172190343e-08

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Performance plots


  1. Comparison of performance of Murlet(20) 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 Murlet(20) 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 Murlet(20) and RSpredict(seed)).

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

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Performance of Murlet(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 249
Total TN 51957
Total FP 79
Total FP CONTRA 17
Total FP INCONS 40
Total FP COMP 22
Total FN 205
Total Scores
MCC 0.666
Average MCC ± 95% Confidence Intervals 0.679 ± 0.114
Sensitivity 0.548
Positive Predictive Value 0.814
Nr of predictions 15

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2. Individual counts for Murlet(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 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
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 82
Total TN 52144
Total FP 40
Total FP CONTRA 6
Total FP INCONS 31
Total FP COMP 3
Total FN 372
Total Scores
MCC 0.350
Average MCC ± 95% Confidence Intervals 0.300 ± 0.175
Sensitivity 0.181
Positive Predictive Value 0.689
Nr of predictions 15

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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
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
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
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.