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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Fold RSpredict(seed)
MCC 0.625 > 0.288
Average MCC ± 95% Confidence Intervals 0.667 ± 0.097 > 0.263 ± 0.118
Sensitivity 0.569 > 0.145
Positive Predictive Value 0.690 > 0.578
Total TP 651 > 166
Total TN 248810 < 249466
Total FP 350 > 126
Total FP CONTRA 47 > 10
Total FP INCONS 245 > 111
Total FP COMP 58 > 5
Total FN 494 < 979
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of Fold - scored higher in this pairwise comparison

1. Total counts & total scores for Fold

Total Base Pair Counts
Total TP 651
Total TN 248810
Total FP 350
Total FP CONTRA 47
Total FP INCONS 245
Total FP COMP 58
Total FN 494
Total Scores
MCC 0.625
Average MCC ± 95% Confidence Intervals 0.667 ± 0.097
Sensitivity 0.569
Positive Predictive Value 0.690
Nr of predictions 31

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
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 0.94 0.89 1.00 16 845 0 0 0 0 2
2L1F_A 0.89 0.88 0.91 21 2057 2 0 2 0 3
2L1F_B 0.90 0.88 0.92 22 2121 2 0 2 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
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 0.93 0.86 1.00 36 5115 0 0 0 0 6
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
3IYQ_A 0.29 0.31 0.27 29 60618 83 20 59 4 65
3IZ4_A 0.53 0.46 0.61 61 70776 44 5 34 5 71
3IZF_C 0.70 0.59 0.82 32 6864 7 1 6 0 22
3J16_L 0.63 0.53 0.76 16 2754 5 0 5 0 14
3NPB_A 0.70 0.61 0.80 28 6986 10 1 6 3 18
3O58_3 0.29 0.31 0.28 11 12363 41 3 26 12 24
3O58_2 0.71 0.71 0.71 27 7222 12 3 8 1 11
3PDR_A 0.77 0.64 0.94 46 12831 5 0 3 2 26
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.57 0.48 0.69 20 3887 9 1 8 0 22
3UZL_B 0.77 0.62 0.96 23 3546 1 0 1 0 14
4A1C_2 0.14 0.15 0.14 5 11744 43 5 27 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 0.32 0.26 0.42 5 1263 7 1 6 0 14
4ENC_A 0.31 0.26 0.38 5 1313 8 1 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 166
Total TN 249466
Total FP 126
Total FP CONTRA 10
Total FP INCONS 111
Total FP COMP 5
Total FN 979
Total Scores
MCC 0.288
Average MCC ± 95% Confidence Intervals 0.263 ± 0.118
Sensitivity 0.145
Positive Predictive Value 0.578
Nr of predictions 31

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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
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
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
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
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
3NPB_A 0.00 0.00 0.00 0 7017 4 0 4 0 46
3O58_3 0.23 0.09 0.60 3 12398 2 0 2 0 32
3O58_2 0.00 0.00 0.00 0 7257 3 0 3 0 38
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.