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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAsubopt RSpredict(seed)
MCC 0.540 > 0.178
Average MCC ± 95% Confidence Intervals 0.549 ± 0.071 > 0.138 ± 0.066
Sensitivity 0.489 > 0.075
Positive Predictive Value 0.600 > 0.430
Total TP 923 > 141
Total TN 370431 < 371642
Total FP 716 > 193
Total FP CONTRA 88 > 14
Total FP INCONS 528 > 173
Total FP COMP 100 > 6
Total FN 963 < 1745
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RNAsubopt and RSpredict(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 RNAsubopt and RSpredict(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 RNAsubopt and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAsubopt and RSpredict(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 RNAsubopt and RSpredict(seed)).

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Performance of RNAsubopt - scored higher in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 923
Total TN 370431
Total FP 716
Total FP CONTRA 88
Total FP INCONS 528
Total FP COMP 100
Total FN 963
Total Scores
MCC 0.540
Average MCC ± 95% Confidence Intervals 0.549 ± 0.071
Sensitivity 0.489
Positive Predictive Value 0.600
Nr of predictions 50

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2. Individual counts for RNAsubopt [ 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
2KX8_A 0.91 0.83 1.00 15 846 0 0 0 0 3
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2WWQ_V 0.76 0.68 0.86 19 2904 5 0 3 2 9
2XQD_Y 0.75 0.67 0.86 18 2829 3 0 3 0 9
2ZZM_B 0.23 0.22 0.26 7 3459 20 2 18 0 25
2ZZN_D 0.48 0.44 0.52 12 2462 11 1 10 0 15
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3AKZ_H 0.39 0.36 0.43 10 2678 13 2 11 0 18
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3GX2_A 0.44 0.38 0.54 15 4343 14 1 12 1 25
3IVN_B 0.76 0.58 1.00 18 2328 0 0 0 0 13
3IYQ_A 0.33 0.36 0.30 34 60614 82 17 61 4 60
3IZ4_A 0.51 0.47 0.56 62 70766 49 8 40 1 70
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J16_L 0.41 0.37 0.48 11 2752 12 1 11 0 19
3J20_1 0.96 0.91 1.00 21 2905 2 0 0 2 2
3J20_0 0.43 0.40 0.48 12 2825 14 0 13 1 18
3J2L_3 0.61 0.53 0.72 28 7836 13 0 11 2 25
3J3D_C 0.61 0.57 0.67 16 2751 8 0 8 0 12
3J3E_8 0.16 0.15 0.18 5 7475 32 2 21 9 28
3J3E_7 0.59 0.50 0.69 27 7101 12 1 11 0 27
3J3F_8 0.33 0.33 0.32 12 12209 39 4 21 14 24
3J3F_7 0.80 0.70 0.92 35 7222 4 0 3 1 15
3JYV_7 -0.01 0.00 0.00 0 2829 21 0 21 0 32
3JYX_4 0.19 0.21 0.17 7 12204 38 11 24 3 26
3JYX_3 0.63 0.63 0.63 17 6301 21 1 9 11 10
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.75 0.65 0.86 30 6986 7 1 4 2 16
3O58_2 0.72 0.74 0.70 28 7220 13 4 8 1 10
3O58_3 0.34 0.34 0.34 12 12368 34 2 21 11 23
3PDR_A 0.75 0.63 0.90 45 12830 7 1 4 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.87 0.78 0.97 31 4721 2 0 1 1 9
3ZEX_C 0.24 0.21 0.28 11 14157 42 1 27 14 41
3ZEX_D 0.80 0.69 0.92 34 6984 3 0 3 0 15
3ZND_W 0.20 0.22 0.19 5 2977 23 1 20 2 18
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4AOB_A 0.52 0.43 0.64 18 4343 11 2 8 1 24
4ENB_A 0.70 0.58 0.85 11 1262 2 1 1 0 8
4ENC_A 0.32 0.26 0.42 5 1314 7 0 7 0 14
4FRG_B 0.32 0.28 0.38 9 3462 15 0 15 0 23
4FRN_A 0.51 0.44 0.59 16 5124 11 3 8 0 20
4JF2_A 0.61 0.52 0.73 16 2828 6 3 3 0 15

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Performance of RSpredict(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 141
Total TN 371642
Total FP 193
Total FP CONTRA 14
Total FP INCONS 173
Total FP COMP 6
Total FN 1745
Total Scores
MCC 0.178
Average MCC ± 95% Confidence Intervals 0.138 ± 0.066
Sensitivity 0.075
Positive Predictive Value 0.430
Nr of predictions 50

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2. Individual counts for RSpredict(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.85 0.73 1.00 8 398 0 0 0 0 3
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
2WRQ_Y 0.00 0.00 0.00 0 2848 3 1 1 1 17
2WWQ_V 0.00 0.00 0.00 0 2920 6 1 5 0 28
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
2ZZM_B 0.00 0.00 0.00 0 3482 4 0 4 0 32
2ZZN_D 0.43 0.19 1.00 5 2480 0 0 0 0 22
3A2K_C 0.00 0.00 0.00 0 2924 2 0 2 0 28
3A3A_A 0.48 0.30 0.79 11 3641 3 0 3 0 26
3AKZ_H 0.00 0.00 0.00 0 2699 2 0 2 0 28
3AMU_B 0.00 0.00 0.00 0 3001 2 0 2 0 27
3GX2_A 0.36 0.15 0.86 6 4364 1 0 1 0 34
3IVN_B 0.69 0.52 0.94 16 2329 1 0 1 0 15
3IYQ_A 0.14 0.07 0.28 7 60701 19 5 13 1 87
3IZ4_A 0.21 0.08 0.59 10 70859 7 0 7 0 122
3IZF_C 0.00 0.00 0.00 0 6898 5 0 5 0 54
3J16_L 0.00 0.00 0.00 0 2774 1 0 1 0 30
3J20_1 0.09 0.04 0.20 1 2921 4 0 4 0 22
3J20_0 0.00 0.00 0.00 0 2846 4 0 4 0 30
3J2L_3 0.00 0.00 0.00 0 7870 5 0 5 0 53
3J3D_C 0.00 0.00 0.00 0 2771 4 1 3 0 28
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3E_7 0.00 0.00 0.00 0 7132 8 0 8 0 54
3J3F_8 0.14 0.06 0.33 2 12240 5 1 3 1 34
3J3F_7 0.00 0.00 0.00 0 7256 4 0 4 0 50
3JYV_7 0.00 0.00 0.00 0 2846 4 0 4 0 32
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
3JYX_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
3LA5_A 0.70 0.50 1.00 17 2468 0 0 0 0 17
3NPB_A 0.00 0.00 0.00 0 7017 4 0 4 0 46
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3PDR_A 0.00 0.00 0.00 0 12872 8 0 8 0 72
3RKF_A 0.71 0.53 0.95 18 2192 1 0 1 0 16
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
3UZL_B 0.00 0.00 0.00 0 3564 6 0 6 0 37
3W1K_J 0.51 0.29 0.92 11 4174 1 0 1 0 27
3W3S_B 0.41 0.30 0.57 12 4732 10 1 8 1 28
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
3ZEX_D 0.00 0.00 0.00 0 7019 2 0 2 0 49
3ZND_W 0.00 0.00 0.00 0 3000 4 0 3 1 23
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
4A1C_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4AOB_A 0.35 0.14 0.86 6 4364 1 0 1 0 36
4ENB_A 0.30 0.16 0.60 3 1270 2 0 2 0 16
4ENC_A 0.30 0.16 0.60 3 1321 2 0 2 0 16
4FRG_B 0.00 0.00 0.00 0 3484 2 0 2 0 32
4FRN_A 0.00 0.00 0.00 0 5148 3 0 3 0 36
4JF2_A 0.00 0.00 0.00 0 2846 4 0 4 0 31

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