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 0.570 > 0.314
Average MCC ± 95% Confidence Intervals 0.605 ± 0.079 > 0.284 ± 0.100
Sensitivity 0.521 > 0.161
Positive Predictive Value 0.627 > 0.620
Total TP 789 > 243
Total TN 296057 < 296923
Total FP 539 > 156
Total FP CONTRA 73 > 12
Total FP INCONS 396 > 137
Total FP COMP 70 > 7
Total FN 724 < 1270
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 789
Total TN 296057
Total FP 539
Total FP CONTRA 73
Total FP INCONS 396
Total FP COMP 70
Total FN 724
Total Scores
MCC 0.570
Average MCC ± 95% Confidence Intervals 0.605 ± 0.079
Sensitivity 0.521
Positive Predictive Value 0.627
Nr of predictions 44

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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
2KE6_A 0.86 0.84 0.89 16 1110 3 0 2 1 3
2KUR_A 0.85 0.81 0.89 17 1109 2 0 2 0 4
2KUU_A 0.82 0.76 0.89 16 1110 3 0 2 1 5
2KUV_A 0.83 0.77 0.89 17 1109 2 0 2 0 5
2KUW_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2KX8_A 0.91 0.83 1.00 15 846 0 0 0 0 3
2L1F_A 0.93 0.88 1.00 21 2059 0 0 0 0 3
2L1F_B 0.94 0.88 1.00 22 2123 0 0 0 0 3
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 0.57 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
2XKV_B 0.51 0.50 0.53 10 4541 23 0 9 14 10
2XQD_Y 0.75 0.67 0.86 18 2829 3 0 3 0 9
2XXA_G 0.47 0.43 0.53 18 5117 16 1 15 0 24
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
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
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
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

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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 243
Total TN 296923
Total FP 156
Total FP CONTRA 12
Total FP INCONS 137
Total FP COMP 7
Total FN 1270
Total Scores
MCC 0.314
Average MCC ± 95% Confidence Intervals 0.284 ± 0.100
Sensitivity 0.161
Positive Predictive Value 0.620
Nr of predictions 44

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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_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
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
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
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

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