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

  1. Overview

  2. Performance Plots

  3. Performance of MXScarna(seed) - scored higher in this pairwise comparison

  4. Performance of McQFold - scored lower in this pairwise comparison

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


Overview

Metric MXScarna(seed) McQFold
MCC 0.667 > 0.544
Average MCC ± 95% Confidence Intervals 0.663 ± 0.057 > 0.626 ± 0.077
Sensitivity 0.560 > 0.471
Positive Predictive Value 0.794 > 0.629
Total TP 1379 > 1159
Total TN 1460602 > 1460496
Total FP 462 < 743
Total FP CONTRA 59 < 84
Total FP INCONS 298 < 599
Total FP COMP 105 > 60
Total FN 1082 < 1302
P-value 3.56938820447e-08

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Performance plots


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

  2. Comparison of performance of MXScarna(seed) and McQFold. 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 MXScarna(seed) and McQFold).

  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 MXScarna(seed) and McQFold).

  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 MXScarna(seed) and McQFold).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and McQFold. 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 MXScarna(seed) and McQFold).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for MXScarna(seed) and McQFold. 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 MXScarna(seed) and McQFold).

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Performance of MXScarna(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for MXScarna(seed)

Total Base Pair Counts
Total TP 1379
Total TN 1460602
Total FP 462
Total FP CONTRA 59
Total FP INCONS 298
Total FP COMP 105
Total FN 1082
Total Scores
MCC 0.667
Average MCC ± 95% Confidence Intervals 0.663 ± 0.057
Sensitivity 0.560
Positive Predictive Value 0.794
Nr of predictions 53

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2. Individual counts for MXScarna(seed) [ 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
2KE6_A 0.89 0.84 0.94 16 1111 2 0 1 1 3
2KUR_A 0.87 0.81 0.94 17 1110 1 0 1 0 4
2KUU_A 0.84 0.76 0.94 16 1111 2 0 1 1 5
2KUV_A 0.85 0.77 0.94 17 1110 1 0 1 0 5
2KUW_A 0.76 0.67 0.88 14 1112 2 0 2 0 7
2KX8_A -0.01 0.00 0.00 0 859 2 0 2 0 18
2L1F_A 0.91 0.88 0.95 21 2058 1 0 1 0 3
2L1F_B 0.96 0.92 1.00 23 2122 0 0 0 0 2
2L94_A 0.57 0.55 0.61 11 972 7 0 7 0 9
2LC8_A -0.01 0.00 0.00 0 1530 12 0 10 2 20
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2WWQ_V 0.56 0.46 0.68 13 2907 7 0 6 1 15
2XKV_B 0.59 0.55 0.65 11 4543 18 0 6 12 9
2XQD_Y 0.77 0.67 0.90 18 2830 2 0 2 0 9
2XXA_G 0.67 0.57 0.80 24 5121 7 0 6 1 18
2ZZM_B 0.56 0.44 0.74 14 3467 5 4 1 0 18
2ZZN_D 0.86 0.74 1.00 20 2465 0 0 0 0 7
3A2K_C 0.84 0.71 1.00 20 2906 0 0 0 0 8
3A3A_A 0.77 0.65 0.92 24 3629 3 0 2 1 13
3AKZ_H 0.86 0.75 1.00 21 2680 0 0 0 0 7
3AMU_B 0.84 0.70 1.00 19 2984 1 0 0 1 8
3GX2_A 0.70 0.60 0.83 24 4342 6 0 5 1 16
3IVN_B 0.65 0.45 0.93 14 2331 1 1 0 0 17
3IYQ_A 0.45 0.38 0.54 36 60659 37 4 27 6 58
3IZ4_A 0.69 0.55 0.88 72 70794 11 3 7 1 60
3IZF_C 0.67 0.57 0.79 31 6864 9 1 7 1 23
3J16_L 0.82 0.67 1.00 20 2755 0 0 0 0 10
3J20_0 0.79 0.63 1.00 19 2831 0 0 0 0 11
3J20_2 0.67 0.58 0.77 366 1116289 118 14 96 8 267
3J20_1 0.93 0.87 1.00 20 2906 0 0 0 0 3
3J2L_3 0.60 0.49 0.74 26 7840 11 1 8 2 27
3JYV_7 0.79 0.63 1.00 20 2830 0 0 0 0 12
3JYX_4 0.38 0.30 0.48 10 12225 21 3 8 10 23
3JYX_3 0.58 0.56 0.60 15 6303 21 1 9 11 12
3LA5_A 0.75 0.56 1.00 19 2466 0 0 0 0 15
3NPB_A 0.69 0.59 0.82 27 6988 9 2 4 3 19
3O58_3 0.45 0.34 0.60 12 12383 19 2 6 11 23
3O58_2 0.79 0.79 0.79 30 7222 10 4 4 2 8
3PDR_A 0.73 0.63 0.87 45 12828 9 2 5 2 27
3RKF_A 0.72 0.53 1.00 18 2193 0 0 0 0 16
3SD1_A 0.63 0.55 0.74 23 3885 8 1 7 0 19
3UZL_B 0.66 0.49 0.90 18 3550 2 1 1 0 19
3W3S_B 0.69 0.60 0.80 24 4723 6 0 6 0 16
3ZEX_C 0.32 0.19 0.53 10 14177 20 2 7 11 42
3ZEX_D 0.76 0.69 0.83 34 6980 7 1 6 0 15
4A1C_3 0.75 0.65 0.88 35 7100 5 1 4 0 19
4A1C_2 0.35 0.24 0.50 8 11765 20 1 7 12 25
4AOB_A 0.66 0.55 0.79 23 4342 7 0 6 1 19
4ENB_A 0.48 0.32 0.75 6 1267 2 0 2 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 1 3 0 13
4FRG_B 0.41 0.31 0.56 10 3468 8 2 6 0 22
4FRN_A 0.62 0.53 0.73 19 5125 7 2 5 0 17

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Performance of McQFold - scored lower in this pairwise comparison

1. Total counts & total scores for McQFold

Total Base Pair Counts
Total TP 1159
Total TN 1460496
Total FP 743
Total FP CONTRA 84
Total FP INCONS 599
Total FP COMP 60
Total FN 1302
Total Scores
MCC 0.544
Average MCC ± 95% Confidence Intervals 0.626 ± 0.077
Sensitivity 0.471
Positive Predictive Value 0.629
Nr of predictions 53

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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
2KE6_A 0.89 0.79 1.00 15 1113 1 0 0 1 4
2KUR_A 0.87 0.76 1.00 16 1112 0 0 0 0 5
2KUU_A 0.84 0.71 1.00 15 1113 1 0 0 1 6
2KUV_A 0.85 0.73 1.00 16 1112 0 0 0 0 6
2KUW_A 0.87 0.76 1.00 16 1112 0 0 0 0 5
2KX8_A 0.88 0.83 0.94 15 845 1 0 1 0 3
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 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2WWQ_V 0.00 0.00 0.00 0 2926 0 0 0 0 28
2XKV_B 0.31 0.30 0.33 6 4542 25 1 11 13 14
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.27 0.24 0.32 10 5120 21 0 21 0 32
2ZZM_B 0.21 0.19 0.24 6 3461 19 2 17 0 26
2ZZN_D 0.84 0.78 0.91 21 2462 2 0 2 0 6
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3AKZ_H 0.68 0.61 0.77 17 2679 6 1 4 1 11
3AMU_B 0.75 0.59 0.94 16 2986 3 0 1 2 11
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
3IYQ_A 0.28 0.31 0.26 29 60614 87 19 64 4 65
3IZ4_A 0.42 0.36 0.49 47 70780 53 6 43 4 85
3IZF_C 0.68 0.56 0.83 30 6867 6 0 6 0 24
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J20_2 0.46 0.39 0.54 249 1116304 216 8 204 4 384
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3JYX_4 0.20 0.21 0.19 7 12210 33 8 21 4 26
3JYX_3 0.21 0.22 0.20 6 6298 24 9 15 0 21
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
3O58_2 0.83 0.71 0.96 27 7232 2 0 1 1 11
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
3UZL_B 0.45 0.41 0.52 15 3541 14 0 14 0 22
3W3S_B 0.44 0.38 0.54 15 4725 14 0 13 1 25
3ZEX_C 0.27 0.21 0.34 11 14164 24 2 19 3 41
3ZEX_D 0.69 0.53 0.90 26 6992 3 1 2 0 23
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
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
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11
4FRN_A 0.73 0.56 0.95 20 5130 1 1 0 0 16

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