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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric PknotsRG Murlet(seed)
MCC 0.635 > 0.475
Average MCC ± 95% Confidence Intervals 0.667 ± 0.125 > 0.471 ± 0.083
Sensitivity 0.555 > 0.270
Positive Predictive Value 0.733 < 0.841
Total TP 304 > 148
Total TN 83818 < 84057
Total FP 149 > 32
Total FP CONTRA 18 > 5
Total FP INCONS 93 > 23
Total FP COMP 38 > 4
Total FN 244 < 400
P-value 2.78993384543e-08

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Performance plots


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

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

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Performance of PknotsRG - scored higher in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 304
Total TN 83818
Total FP 149
Total FP CONTRA 18
Total FP INCONS 93
Total FP COMP 38
Total FN 244
Total Scores
MCC 0.635
Average MCC ± 95% Confidence Intervals 0.667 ± 0.125
Sensitivity 0.555
Positive Predictive Value 0.733
Nr of predictions 16

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2. Individual counts for PknotsRG [ 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 0.63 0.55 0.73 11 1525 4 1 3 0 9
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3GX2_A 0.67 0.55 0.81 22 4344 6 0 5 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.31 0.30 0.32 10 12215 33 5 16 12 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.83 0.72 0.97 33 6987 3 0 1 2 13
3O58_3 0.34 0.34 0.34 12 12368 34 2 21 11 23
3PDR_A 0.75 0.63 0.90 45 12830 7 1 4 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 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.