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 Carnac(20) - scored lower in this pairwise comparison

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


Overview

Metric Murlet(20) Carnac(20)
MCC 0.704 > 0.696
Average MCC ± 95% Confidence Intervals 0.706 ± 0.072 > 0.652 ± 0.113
Sensitivity 0.596 > 0.518
Positive Predictive Value 0.837 < 0.941
Total TP 437 > 380
Total TN 77617 < 77735
Total FP 155 > 75
Total FP CONTRA 21 > 6
Total FP INCONS 64 > 18
Total FP COMP 70 > 51
Total FN 296 < 353
P-value 1.14354614608e-05

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Performance plots


  1. Comparison of performance of Murlet(20) and Carnac(20). 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 Carnac(20)).

  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 Carnac(20)).

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

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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 437
Total TN 77617
Total FP 155
Total FP CONTRA 21
Total FP INCONS 64
Total FP COMP 70
Total FN 296
Total Scores
MCC 0.704
Average MCC ± 95% Confidence Intervals 0.706 ± 0.072
Sensitivity 0.596
Positive Predictive Value 0.837
Nr of predictions 28

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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
2KDQ_B 0.70 0.50 1.00 5 169 0 0 0 0 5
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.63 0.67 0.60 6 1142 13 1 3 9 3
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.88 0.86 0.90 18 1109 3 0 2 1 3
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.89 0.89 0.89 17 1138 4 0 2 2 2
3G4S_9 0.85 0.77 0.95 20 2715 5 0 1 4 6
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
3IZF_C 0.88 0.83 0.94 29 2609 5 0 2 3 6
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
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_2 1.00 1.00 1.00 31 2723 2 0 0 2 0
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_3 0.72 0.59 0.88 22 2738 4 0 3 1 15
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 Carnac(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 380
Total TN 77735
Total FP 75
Total FP CONTRA 6
Total FP INCONS 18
Total FP COMP 51
Total FN 353
Total Scores
MCC 0.696
Average MCC ± 95% Confidence Intervals 0.652 ± 0.113
Sensitivity 0.518
Positive Predictive Value 0.941
Nr of predictions 28

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2. Individual counts for Carnac(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.77 0.60 1.00 6 168 0 0 0 0 4
2L94_A 0.00 0.00 0.00 0 357 0 0 0 0 18
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.43 0.18 1.00 2 1833 1 0 0 1 9
2XQD_Y 0.87 0.76 1.00 16 1113 1 0 0 1 5
2XXA_G 0.29 0.09 1.00 3 2042 0 0 0 0 32
3A2K_C 0.88 0.77 1.00 17 1091 0 0 0 0 5
3AMU_B 0.79 0.79 0.79 15 1138 7 0 4 3 4
3G4S_9 0.73 0.54 1.00 14 2722 4 0 0 4 12
3GX2_A 0.68 0.46 1.00 13 1436 0 0 0 0 15
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.31 0.88 29 25503 4 3 1 0 66
3IZF_C 0.91 0.83 1.00 29 2611 2 0 0 2 6
3JYV_7 0.81 0.70 0.93 14 1096 3 0 1 2 6
3JYX_3 0.83 0.80 0.86 12 2364 13 0 2 11 3
3JYX_4 0.76 0.58 1.00 7 4749 2 0 0 2 5
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.46 0.22 1.00 8 2270 3 0 0 3 29
3O58_2 0.93 0.87 1.00 27 2727 2 0 0 2 4
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.75 0.58 0.97 29 4810 3 1 0 2 21
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
4A1C_3 0.79 0.73 0.87 27 2732 5 0 4 1 10
4A1C_2 0.42 0.25 0.71 5 4509 3 0 2 1 15
4AOB_A 0.59 0.48 0.74 14 1418 6 2 3 1 15
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15

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