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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric McQFold Murlet(seed)
MCC 0.601 > 0.475
Average MCC ± 95% Confidence Intervals 0.639 ± 0.138 > 0.471 ± 0.083
Sensitivity 0.522 > 0.270
Positive Predictive Value 0.698 < 0.841
Total TP 286 > 148
Total TN 83823 < 84057
Total FP 141 > 32
Total FP CONTRA 27 > 5
Total FP INCONS 97 > 23
Total FP COMP 17 > 4
Total FN 262 < 400
P-value 2.52609899389e-08

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Performance plots


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

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

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Performance of McQFold - scored higher in this pairwise comparison

1. Total counts & total scores for McQFold

Total Base Pair Counts
Total TP 286
Total TN 83823
Total FP 141
Total FP CONTRA 27
Total FP INCONS 97
Total FP COMP 17
Total FN 262
Total Scores
MCC 0.601
Average MCC ± 95% Confidence Intervals 0.639 ± 0.138
Sensitivity 0.522
Positive Predictive Value 0.698
Nr of predictions 16

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2. Individual counts for McQFold [ 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 0.61 0.55 0.69 11 1524 5 0 5 0 9
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3GX2_A 0.47 0.40 0.57 16 4343 13 1 11 1 24
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.20 0.21 0.19 7 12210 33 8 21 4 26
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.81 0.67 0.97 31 6989 4 1 0 3 15
3O58_3 0.26 0.26 0.26 9 12368 26 10 16 0 26
3PDR_A 0.69 0.56 0.87 40 12834 9 0 6 3 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.71 0.60 0.86 25 3887 4 0 4 0 17
4A1C_2 0.15 0.15 0.15 5 11748 33 5 23 5 28
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
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.