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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Cylofold RSpredict(seed)
MCC 0.611 > 0.231
Average MCC ± 95% Confidence Intervals 0.639 ± 0.087 > 0.178 ± 0.101
Sensitivity 0.523 > 0.109
Positive Predictive Value 0.719 > 0.500
Total TP 502 > 105
Total TN 121138 < 121626
Total FP 227 > 109
Total FP CONTRA 27 > 3
Total FP INCONS 169 > 102
Total FP COMP 31 > 4
Total FN 457 < 854
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of Cylofold - scored higher in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 502
Total TN 121138
Total FP 227
Total FP CONTRA 27
Total FP INCONS 169
Total FP COMP 31
Total FN 457
Total Scores
MCC 0.611
Average MCC ± 95% Confidence Intervals 0.639 ± 0.087
Sensitivity 0.523
Positive Predictive Value 0.719
Nr of predictions 29

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2L1F_A 0.91 0.83 1.00 20 2060 0 0 0 0 4
2L1F_B 0.92 0.84 1.00 21 2124 0 0 0 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
2XKV_B 0.38 0.40 0.36 8 4538 23 7 7 9 12
2XQD_Y 0.81 0.78 0.84 21 2825 4 4 0 0 6
2XXA_G 0.10 0.10 0.11 4 5115 32 1 31 0 38
3AKZ_H 0.66 0.57 0.76 16 2680 6 0 5 1 12
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3IZF_C 0.68 0.56 0.83 30 6867 6 0 6 0 24
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.69 0.70 0.70 16 2903 7 2 5 0 7
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3O58_3 0.36 0.34 0.38 12 12371 29 5 15 9 23
3O58_2 0.80 0.68 0.93 26 7232 3 0 2 1 12
3PDR_A 0.72 0.54 0.95 39 12839 4 0 2 2 33
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.62 0.50 0.78 21 3889 6 0 6 0 21
3UZL_B 0.45 0.38 0.54 14 3544 12 1 11 0 23
3W3S_B 0.44 0.38 0.52 15 4724 15 0 14 1 25
3ZEX_D 0.58 0.49 0.69 24 6986 11 0 11 0 25
3ZND_W 0.40 0.39 0.41 9 2981 15 2 11 2 14
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11
4FRN_A 0.20 0.14 0.31 5 5135 11 2 9 0 31

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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 105
Total TN 121626
Total FP 109
Total FP CONTRA 3
Total FP INCONS 102
Total FP COMP 4
Total FN 854
Total Scores
MCC 0.231
Average MCC ± 95% Confidence Intervals 0.178 ± 0.101
Sensitivity 0.109
Positive Predictive Value 0.500
Nr of predictions 29

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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
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
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
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
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
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
3ZND_W 0.00 0.00 0.00 0 3000 4 0 3 1 23
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

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