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 0.575 > 0.266
Average MCC ± 95% Confidence Intervals 0.614 ± 0.065 > 0.228 ± 0.079
Sensitivity 0.516 > 0.128
Positive Predictive Value 0.646 > 0.561
Total TP 1095 > 271
Total TN 390841 < 392053
Total FP 723 > 222
Total FP CONTRA 75 > 16
Total FP INCONS 525 > 196
Total FP COMP 123 > 10
Total FN 1026 < 1850
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 1095
Total TN 390841
Total FP 723
Total FP CONTRA 75
Total FP INCONS 525
Total FP COMP 123
Total FN 1026
Total Scores
MCC 0.575
Average MCC ± 95% Confidence Intervals 0.614 ± 0.065
Sensitivity 0.516
Positive Predictive Value 0.646
Nr of predictions 60

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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
2KE6_A 0.97 0.95 1.00 18 1110 1 0 0 1 1
2KUR_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KUU_A 0.92 0.86 1.00 18 1110 1 0 0 1 3
2KUV_A 0.93 0.86 1.00 19 1109 0 0 0 0 3
2KUW_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KX8_A 0.91 0.83 1.00 15 846 0 0 0 0 3
2L1F_B 0.96 0.92 1.00 23 2122 0 0 0 0 2
2L1F_A 0.87 0.83 0.91 20 2058 2 0 2 0 4
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 0.59 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
2XKV_B 0.51 0.50 0.53 10 4541 22 0 9 13 10
2XQD_Y 0.64 0.56 0.75 15 2830 5 0 5 0 12
2XXA_G 0.93 0.86 1.00 36 5115 0 0 0 0 6
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_D 0.76 0.63 0.91 31 6987 3 0 3 0 18
3ZEX_C 0.23 0.21 0.25 11 14152 41 1 32 8 41
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 271
Total TN 392053
Total FP 222
Total FP CONTRA 16
Total FP INCONS 196
Total FP COMP 10
Total FN 1850
Total Scores
MCC 0.266
Average MCC ± 95% Confidence Intervals 0.228 ± 0.079
Sensitivity 0.128
Positive Predictive Value 0.561
Nr of predictions 60

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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
2KE6_A 0.83 0.74 0.93 14 1113 2 0 1 1 5
2KUR_A 0.82 0.71 0.94 15 1112 1 0 1 0 6
2KUU_A 0.79 0.67 0.93 14 1113 2 0 1 1 7
2KUV_A 0.80 0.68 0.94 15 1112 1 0 1 0 7
2KUW_A 0.73 0.62 0.87 13 1113 2 0 2 0 8
2KX8_A 0.00 0.00 0.00 0 860 1 0 1 0 18
2L1F_B 0.85 0.80 0.91 20 2123 2 0 2 0 5
2L1F_A 0.80 0.75 0.86 18 2059 3 0 3 0 6
2L94_A 0.57 0.50 0.67 10 975 5 0 5 0 10
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
2XKV_B 0.28 0.20 0.40 4 4550 8 2 4 2 16
2XQD_Y 0.00 0.00 0.00 0 2845 5 0 5 0 27
2XXA_G 0.34 0.17 0.70 7 5141 3 0 3 0 35
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_D 0.00 0.00 0.00 0 7019 2 0 2 0 49
3ZEX_C 0.10 0.04 0.25 2 14188 6 1 5 0 50
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.