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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Pknots Murlet(seed)
MCC 0.563 > 0.475
Average MCC ± 95% Confidence Intervals 0.621 ± 0.144 > 0.471 ± 0.083
Sensitivity 0.509 > 0.270
Positive Predictive Value 0.628 < 0.841
Total TP 279 > 148
Total TN 83789 < 84057
Total FP 192 > 32
Total FP CONTRA 33 > 5
Total FP INCONS 132 > 23
Total FP COMP 27 > 4
Total FN 269 < 400
P-value 2.94377603181e-08

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Performance plots


  1. Comparison of performance of Pknots and Murlet(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 Pknots and Murlet(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 Pknots and Murlet(seed)).

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

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Performance of Pknots - scored higher in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 279
Total TN 83789
Total FP 192
Total FP CONTRA 33
Total FP INCONS 132
Total FP COMP 27
Total FN 269
Total Scores
MCC 0.563
Average MCC ± 95% Confidence Intervals 0.621 ± 0.144
Sensitivity 0.509
Positive Predictive Value 0.628
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2LC8_A 0.79 0.75 0.83 15 1522 3 1 2 0 5
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3GX2_A 0.47 0.40 0.55 16 4342 14 1 12 1 24
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3JYX_4 0.18 0.21 0.16 7 12203 41 13 23 5 26
3LA5_A 0.80 0.65 1.00 22 2463 0 0 0 0 12
3NPB_A 0.76 0.67 0.86 31 6985 8 1 4 3 15
3O58_3 0.27 0.31 0.24 11 12357 38 11 24 3 24
3PDR_A 0.54 0.44 0.65 32 12831 19 0 17 2 40
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.65 0.52 0.81 22 3889 5 0 5 0 20
4A1C_2 0.24 0.24 0.25 8 11749 36 3 21 12 25
4AOB_A 0.17 0.14 0.21 6 4343 23 1 21 1 36
4ENB_A 0.83 0.79 0.88 15 1258 2 1 1 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4

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

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

Total Base Pair Counts
Total TP 148
Total TN 84057
Total FP 32
Total FP CONTRA 5
Total FP INCONS 23
Total FP COMP 4
Total FN 400
Total Scores
MCC 0.475
Average MCC ± 95% Confidence Intervals 0.471 ± 0.083
Sensitivity 0.270
Positive Predictive Value 0.841
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
3A3A_A 0.57 0.32 1.00 12 3643 0 0 0 0 25
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3NPB_A 0.49 0.28 0.87 13 7006 2 1 1 0 33
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

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