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 0.693 > 0.686
Average MCC ± 95% Confidence Intervals 0.690 ± 0.070 > 0.650 ± 0.095
Sensitivity 0.594 > 0.518
Positive Predictive Value 0.815 < 0.915
Total TP 532 > 464
Total TN 92209 < 92355
Total FP 202 > 102
Total FP CONTRA 25 > 8
Total FP INCONS 96 > 35
Total FP COMP 81 > 59
Total FN 364 < 432
P-value 4.57295429596e-06

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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. 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)).

  3. 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)).

  4. 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)).

  5. 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)).

  6. 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 532
Total TN 92209
Total FP 202
Total FP CONTRA 25
Total FP INCONS 96
Total FP COMP 81
Total FN 364
Total Scores
MCC 0.693
Average MCC ± 95% Confidence Intervals 0.690 ± 0.070
Sensitivity 0.594
Positive Predictive Value 0.815
Nr of predictions 34

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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
3J20_0 0.65 0.62 0.68 13 1200 6 1 5 0 8
3J20_1 0.69 0.60 0.80 12 1097 4 0 3 1 8
3J2L_3 0.84 0.74 0.96 25 2994 4 0 1 3 9
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
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
3ZEX_C 0.42 0.38 0.48 11 5351 16 2 10 4 18
3ZEX_D 0.90 0.86 0.94 30 2764 5 0 2 3 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
4FRG_B 0.19 0.17 0.25 4 1186 12 1 11 0 20

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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 464
Total TN 92355
Total FP 102
Total FP CONTRA 8
Total FP INCONS 35
Total FP COMP 59
Total FN 432
Total Scores
MCC 0.686
Average MCC ± 95% Confidence Intervals 0.650 ± 0.095
Sensitivity 0.518
Positive Predictive Value 0.915
Nr of predictions 34

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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
3J20_0 0.69 0.71 0.68 15 1197 8 1 6 1 6
3J20_1 0.89 0.80 1.00 16 1096 1 0 0 1 4
3J2L_3 0.59 0.53 0.67 18 2993 11 0 9 2 16
3JYV_7 0.81 0.70 0.93 14 1096 3 0 1 2 6
3JYX_4 0.76 0.58 1.00 7 4749 2 0 0 2 5
3JYX_3 0.83 0.80 0.86 12 2364 13 0 2 11 3
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
3ZEX_C 0.37 0.21 0.67 6 5365 4 1 2 1 23
3ZEX_D 0.81 0.66 1.00 23 2773 3 0 0 3 12
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
4FRG_B 0.50 0.25 1.00 6 1196 0 0 0 0 18

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