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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MaxExpect RSpredict(seed)
MCC 0.566 > 0.374
Average MCC ± 95% Confidence Intervals 0.609 ± 0.068 > 0.221 ± 0.080
Sensitivity 0.500 > 0.220
Positive Predictive Value 0.642 > 0.637
Total TP 1324 > 582
Total TN 1497206 < 1498356
Total FP 869 > 344
Total FP CONTRA 77 > 25
Total FP INCONS 662 > 306
Total FP COMP 130 > 13
Total FN 1323 < 2065
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of MaxExpect - scored higher in this pairwise comparison

1. Total counts & total scores for MaxExpect

Total Base Pair Counts
Total TP 1324
Total TN 1497206
Total FP 869
Total FP CONTRA 77
Total FP INCONS 662
Total FP COMP 130
Total FN 1323
Total Scores
MCC 0.566
Average MCC ± 95% Confidence Intervals 0.609 ± 0.068
Sensitivity 0.500
Positive Predictive Value 0.642
Nr of predictions 57

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2. Individual counts for MaxExpect [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 0.92 0.89 0.94 17 1110 2 0 1 1 2
2KUR_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2KUU_A 0.87 0.81 0.94 17 1110 2 0 1 1 4
2KUV_A 0.88 0.82 0.95 18 1109 1 0 1 0 4
2KUW_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
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 -0.01 0.00 0.00 0 1525 15 2 13 0 20
2WRQ_Y 0.53 0.53 0.53 9 2833 13 5 3 5 8
2WWQ_V 0.76 0.64 0.90 18 2906 3 0 2 1 10
2XKV_B 0.51 0.50 0.53 10 4541 24 0 9 15 10
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.25 0.24 0.27 10 5114 27 1 26 0 32
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3AKZ_H 0.84 0.75 0.95 21 2679 1 1 0 0 7
3AMU_B 0.64 0.59 0.70 16 2980 9 0 7 2 11
3GX2_A 0.77 0.63 0.96 25 4345 2 0 1 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IYQ_A 0.29 0.31 0.27 29 60617 84 19 61 4 65
3IZ4_A 0.54 0.46 0.64 61 70781 39 3 31 5 71
3IZF_C 0.71 0.61 0.83 33 6863 7 1 6 0 21
3J16_L 0.29 0.23 0.37 7 2756 12 0 12 0 23
3J20_0 0.44 0.40 0.50 12 2826 13 0 12 1 18
3J20_2 0.49 0.44 0.56 276 1116272 221 10 207 4 357
3J20_1 0.73 0.70 0.76 16 2905 5 0 5 0 7
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3J3D_C 0.47 0.43 0.52 12 2752 11 1 10 0 16
3J3E_8 0.07 0.06 0.08 2 7478 32 2 21 9 31
3J3E_7 0.46 0.37 0.59 20 7106 14 1 13 0 34
3J3F_8 0.32 0.31 0.33 11 12213 36 3 19 14 25
3J3F_7 0.79 0.68 0.92 34 7223 4 0 3 1 16
3JYV_7 0.41 0.31 0.56 10 2832 8 0 8 0 22
3JYX_3 0.64 0.63 0.65 17 6302 19 1 8 10 10
3JYX_4 0.31 0.30 0.31 10 12214 34 4 18 12 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.71 0.61 0.82 28 6987 9 0 6 3 18
3O58_2 0.75 0.76 0.74 29 7221 11 3 7 1 9
3O58_3 0.35 0.34 0.35 12 12369 35 2 20 13 23
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.58 0.48 0.71 20 3888 8 1 7 0 22
3UZL_B 0.77 0.62 0.96 23 3546 1 0 1 0 14
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.88 0.78 1.00 31 4722 1 0 0 1 9
3ZEX_C 0.41 0.27 0.64 14 14174 16 2 6 8 38
3ZEX_D 0.69 0.61 0.79 30 6983 8 1 7 0 19
3ZND_W 0.20 0.22 0.19 5 2977 23 1 20 2 18
4A1C_2 0.14 0.15 0.14 5 11746 41 4 26 11 28
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.31 0.26 0.38 5 1313 8 1 7 0 14
4FRG_B 0.30 0.22 0.41 7 3469 10 1 9 0 25
4FRN_A 0.45 0.36 0.57 13 5128 10 2 8 0 23
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 582
Total TN 1498356
Total FP 344
Total FP CONTRA 25
Total FP INCONS 306
Total FP COMP 13
Total FN 2065
Total Scores
MCC 0.374
Average MCC ± 95% Confidence Intervals 0.221 ± 0.080
Sensitivity 0.220
Positive Predictive Value 0.637
Nr of predictions 57

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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
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_A 0.80 0.75 0.86 18 2059 3 0 3 0 6
2L1F_B 0.85 0.80 0.91 20 2123 2 0 2 0 5
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
3A2K_C 0.00 0.00 0.00 0 2924 2 0 2 0 28
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_0 0.00 0.00 0.00 0 2846 4 0 4 0 30
3J20_2 0.62 0.53 0.73 335 1116304 129 9 117 3 298
3J20_1 0.09 0.04 0.20 1 2921 4 0 4 0 22
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_3 0.00 0.00 0.00 0 6323 5 1 4 0 27
3JYX_4 0.00 0.00 0.00 0 12241 5 0 5 0 33
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_2 0.00 0.00 0.00 0 11777 5 1 3 1 33
4A1C_3 0.00 0.00 0.00 0 7136 4 1 3 0 54
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.