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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric CentroidFold Murlet(seed)
MCC 0.675 > 0.540
Average MCC ± 95% Confidence Intervals 0.701 ± 0.108 > 0.547 ± 0.077
Sensitivity 0.578 > 0.338
Positive Predictive Value 0.794 < 0.867
Total TP 446 > 261
Total TN 103831 < 104092
Total FP 149 > 46
Total FP CONTRA 16 > 5
Total FP INCONS 100 > 35
Total FP COMP 33 > 6
Total FN 326 < 511
P-value 5.1503931209e-08

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Performance plots


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

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

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Performance of CentroidFold - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidFold

Total Base Pair Counts
Total TP 446
Total TN 103831
Total FP 149
Total FP CONTRA 16
Total FP INCONS 100
Total FP COMP 33
Total FN 326
Total Scores
MCC 0.675
Average MCC ± 95% Confidence Intervals 0.701 ± 0.108
Sensitivity 0.578
Positive Predictive Value 0.794
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 0.97 0.95 1.00 18 1110 1 0 0 1 1
2KUR_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KUU_A 0.92 0.86 1.00 18 1110 1 0 0 1 3
2KUV_A 0.93 0.86 1.00 19 1109 0 0 0 0 3
2KUW_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2LC8_A 0.49 0.35 0.70 7 1530 3 1 2 0 13
2XKV_B 0.51 0.50 0.53 10 4541 25 0 9 16 10
2XXA_G 0.15 0.12 0.20 5 5126 20 1 19 0 37
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3GX2_A 0.79 0.63 1.00 25 4346 1 0 0 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.23 0.21 0.25 7 12218 25 5 16 4 26
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.77 0.70 0.86 32 6984 7 1 4 2 14
3O58_3 0.38 0.29 0.50 10 12383 10 0 10 0 25
3PDR_A 0.73 0.60 0.90 43 12832 7 0 5 2 29
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.58 0.48 0.71 20 3888 8 1 7 0 22
4A1C_2 0.16 0.15 0.17 5 11752 29 5 19 5 28
4AOB_A 0.45 0.33 0.61 14 4348 10 1 8 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.73 0.58 0.92 11 1314 1 1 0 0 8

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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 261
Total TN 104092
Total FP 46
Total FP CONTRA 5
Total FP INCONS 35
Total FP COMP 6
Total FN 511
Total Scores
MCC 0.540
Average MCC ± 95% Confidence Intervals 0.547 ± 0.077
Sensitivity 0.338
Positive Predictive Value 0.867
Nr of predictions 25

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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
2KE6_A 0.66 0.53 0.83 10 1116 2 0 2 0 9
2KUR_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUU_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUV_A 0.85 0.73 1.00 16 1112 0 0 0 0 6
2KUW_A 0.84 0.76 0.94 16 1111 1 0 1 0 5
2L1F_A 0.82 0.75 0.90 18 2060 2 0 2 0 6
2L1F_B 0.80 0.72 0.90 18 2125 2 0 2 0 7
2L94_A 0.59 0.40 0.89 8 981 1 0 1 0 12
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
2XKV_B 0.45 0.20 1.00 4 4556 2 0 0 2 16
2XXA_G 0.38 0.14 1.00 6 5145 0 0 0 0 36
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.