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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAshapes RSpredict(seed)
MCC 0.532 > 0.178
Average MCC ± 95% Confidence Intervals 0.557 ± 0.066 > 0.138 ± 0.066
Sensitivity 0.474 > 0.075
Positive Predictive Value 0.603 > 0.430
Total TP 894 > 141
Total TN 370487 < 371642
Total FP 697 > 193
Total FP CONTRA 75 > 14
Total FP INCONS 514 > 173
Total FP COMP 108 > 6
Total FN 992 < 1745
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of RNAshapes - scored higher in this pairwise comparison

1. Total counts & total scores for RNAshapes

Total Base Pair Counts
Total TP 894
Total TN 370487
Total FP 697
Total FP CONTRA 75
Total FP INCONS 514
Total FP COMP 108
Total FN 992
Total Scores
MCC 0.532
Average MCC ± 95% Confidence Intervals 0.557 ± 0.066
Sensitivity 0.474
Positive Predictive Value 0.603
Nr of predictions 50

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2. Individual counts for RNAshapes [ 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 0.61 0.55 0.69 11 1524 5 0 5 0 9
2WRQ_Y 0.59 0.59 0.59 10 2833 12 4 3 5 7
2WWQ_V 0.76 0.68 0.86 19 2904 5 0 3 2 9
2XQD_Y 0.64 0.56 0.75 15 2830 5 0 5 0 12
2ZZM_B 0.10 0.09 0.12 3 3460 23 0 23 0 29
2ZZN_D 0.69 0.63 0.77 17 2463 5 1 4 0 10
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3A3A_A 0.76 0.65 0.89 24 3628 3 0 3 0 13
3AKZ_H 0.68 0.61 0.77 17 2679 6 1 4 1 11
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3GX2_A 0.76 0.63 0.93 25 4344 3 0 2 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IYQ_A 0.26 0.28 0.24 26 60619 83 21 60 2 68
3IZ4_A 0.52 0.45 0.60 60 70776 45 6 34 5 72
3IZF_C 0.59 0.52 0.68 28 6862 13 1 12 0 26
3J16_L 0.50 0.40 0.63 12 2756 7 0 7 0 18
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.43 0.40 0.48 12 2825 14 0 13 1 18
3J2L_3 0.59 0.51 0.69 27 7836 14 0 12 2 26
3J3D_C 0.60 0.54 0.68 15 2753 7 0 7 0 13
3J3E_8 0.17 0.15 0.19 5 7477 29 2 19 8 28
3J3E_7 0.48 0.41 0.58 22 7102 16 1 15 0 32
3J3F_8 0.30 0.31 0.30 11 12209 39 3 23 13 25
3J3F_7 0.68 0.58 0.81 29 7224 7 1 6 0 21
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3JYX_4 0.31 0.30 0.31 10 12214 35 5 17 13 23
3JYX_3 0.63 0.63 0.63 17 6301 21 1 9 11 10
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.77 0.63 0.94 29 6990 4 1 1 2 17
3O58_2 0.60 0.61 0.59 23 7221 18 4 12 2 15
3O58_3 0.34 0.34 0.34 12 12368 37 2 21 14 23
3PDR_A 0.67 0.56 0.80 40 12830 12 0 10 2 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
3UZL_B 0.39 0.32 0.48 12 3545 13 2 11 0 25
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.55 0.48 0.63 19 4723 12 1 10 1 21
3ZEX_C 0.23 0.21 0.25 11 14152 41 1 32 8 41
3ZEX_D 0.76 0.63 0.91 31 6987 3 0 3 0 18
3ZND_W 0.20 0.22 0.19 5 2977 22 1 20 1 18
4A1C_3 0.68 0.57 0.82 31 7102 7 1 6 0 23
4A1C_2 0.14 0.15 0.14 5 11746 41 5 25 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
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 1 6 0 14
4FRG_B 0.32 0.28 0.38 9 3462 15 0 15 0 23
4FRN_A 0.52 0.44 0.62 16 5125 10 2 8 0 20
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12

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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.