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 0.577 > 0.577
Average MCC ± 95% Confidence Intervals 0.577 ± 0.062 > 0.542 ± 0.082
Sensitivity 0.423 > 0.372
Positive Predictive Value 0.791 < 0.897
Total TP 552 > 486
Total TN 247762 < 247918
Total FP 182 > 80
Total FP CONTRA 16 > 9
Total FP INCONS 130 > 47
Total FP COMP 36 > 24
Total FN 753 < 819
P-value 0.0466667757771

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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 552
Total TN 247762
Total FP 182
Total FP CONTRA 16
Total FP INCONS 130
Total FP COMP 36
Total FN 753
Total Scores
MCC 0.577
Average MCC ± 95% Confidence Intervals 0.577 ± 0.062
Sensitivity 0.423
Positive Predictive Value 0.791
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 0.67 0.45 1.00 5 401 0 0 0 0 6
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
2XXA_G 0.41 0.17 1.00 7 5144 0 0 0 0 35
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.77 0.67 0.90 18 2983 3 0 2 1 9
3G4S_9 0.58 0.39 0.88 22 7356 3 1 2 0 35
3GX2_A 0.61 0.38 1.00 15 4356 1 0 0 1 25
3IVN_B 0.69 0.48 1.00 15 2331 0 0 0 0 16
3IZ4_A 0.40 0.24 0.65 32 70827 21 1 16 4 100
3IZF_C 0.71 0.56 0.91 30 6870 4 0 3 1 24
3J20_0 0.58 0.47 0.74 14 2831 5 0 5 0 16
3J20_1 0.68 0.57 0.81 13 2910 3 0 3 0 10
3J2L_3 0.69 0.49 0.96 26 7848 3 0 1 2 27
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
3JYX_3 0.60 0.52 0.70 14 6308 11 0 6 5 13
3LA5_A 0.68 0.47 1.00 16 2469 0 0 0 0 18
3NPB_A 0.55 0.35 0.89 16 7003 2 1 1 0 30
3O58_2 0.89 0.82 0.97 31 7228 2 0 1 1 7
3O58_3 0.33 0.23 0.47 8 12386 12 2 7 3 27
3PDR_A 0.70 0.53 0.93 38 12839 3 0 3 0 34
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
3ZEX_C 0.34 0.23 0.50 12 14172 15 1 11 3 40
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14
4FRG_B 0.17 0.13 0.25 4 3470 12 1 11 0 28

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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 486
Total TN 247918
Total FP 80
Total FP CONTRA 9
Total FP INCONS 47
Total FP COMP 24
Total FN 819
Total Scores
MCC 0.577
Average MCC ± 95% Confidence Intervals 0.542 ± 0.082
Sensitivity 0.372
Positive Predictive Value 0.897
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 0.73 0.55 1.00 6 400 0 0 0 0 5
2L94_A 0.00 0.00 0.00 0 990 0 0 0 0 20
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XKV_B 0.32 0.10 1.00 2 4558 1 0 0 1 18
2XQD_Y 0.79 0.63 1.00 17 2833 0 0 0 0 10
2XXA_G 0.27 0.07 1.00 3 5148 0 0 0 0 39
3A2K_C 0.78 0.61 1.00 17 2909 0 0 0 0 11
3AMU_B 0.69 0.59 0.80 16 2983 6 0 4 2 11
3G4S_9 0.50 0.28 0.89 16 7363 2 1 1 0 41
3GX2_A 0.57 0.33 1.00 13 4358 0 0 0 0 27
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.47 0.23 0.94 31 70843 2 0 2 0 101
3IZF_C 0.73 0.56 0.97 30 6872 1 0 1 0 24
3J20_0 0.62 0.53 0.73 16 2828 7 0 6 1 14
3J20_1 0.86 0.74 1.00 17 2909 0 0 0 0 6
3J2L_3 0.46 0.34 0.64 18 7847 11 0 10 1 35
3JYV_7 0.68 0.50 0.94 16 2833 1 0 1 0 16
3JYX_4 0.46 0.21 1.00 7 12239 2 0 0 2 26
3JYX_3 0.64 0.56 0.75 15 6308 10 1 4 5 12
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.44 0.20 1.00 9 7012 2 0 0 2 37
3O58_2 0.83 0.71 0.96 27 7232 2 0 1 1 11
3O58_3 0.51 0.26 1.00 9 12394 0 0 0 0 26
3PDR_A 0.62 0.40 0.97 29 12850 3 0 1 2 43
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
3ZEX_C 0.31 0.13 0.70 7 14186 3 1 2 0 45
3ZEX_D 0.73 0.53 1.00 26 6995 0 0 0 0 23
4A1C_3 0.67 0.52 0.88 28 7108 4 0 4 0 26
4A1C_2 0.33 0.15 0.71 5 11774 3 0 2 1 28
4AOB_A 0.49 0.33 0.74 14 4352 6 1 4 1 28
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19
4FRG_B 0.43 0.19 1.00 6 3480 0 0 0 0 26

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