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 0.597 > 0.314
Average MCC ± 95% Confidence Intervals 0.645 ± 0.076 > 0.284 ± 0.100
Sensitivity 0.537 > 0.161
Positive Predictive Value 0.668 > 0.620
Total TP 813 > 243
Total TN 296098 < 296923
Total FP 493 > 156
Total FP CONTRA 62 > 12
Total FP INCONS 342 > 137
Total FP COMP 89 > 7
Total FN 700 < 1270
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 813
Total TN 296098
Total FP 493
Total FP CONTRA 62
Total FP INCONS 342
Total FP COMP 89
Total FN 700
Total Scores
MCC 0.597
Average MCC ± 95% Confidence Intervals 0.645 ± 0.076
Sensitivity 0.537
Positive Predictive Value 0.668
Nr of predictions 44

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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_A 0.87 0.83 0.91 20 2058 2 0 2 0 4
2L1F_B 0.96 0.92 1.00 23 2122 0 0 0 0 2
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
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
4A1C_2 0.14 0.15 0.14 5 11746 41 5 25 11 28
4A1C_3 0.68 0.57 0.82 31 7102 7 1 6 0 23
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

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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.