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

  1. Overview

  2. Performance Plots

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

  4. Performance of Cylofold - scored lower in this pairwise comparison

  5. Compile and download dataset for Sfold & Cylofold [.zip] - may take several seconds...


Overview

Metric Sfold Cylofold
MCC 0.616 > 0.607
Average MCC ± 95% Confidence Intervals 0.567 ± 0.091 < 0.586 ± 0.088
Sensitivity 0.512 = 0.512
Positive Predictive Value 0.748 > 0.727
Total TP 464 = 464
Total TN 111927 > 111909
Total FP 177 < 197
Total FP CONTRA 18 < 21
Total FP INCONS 138 < 153
Total FP COMP 21 < 23
Total FN 443 = 443
P-value 0.000380952570321

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Performance plots


  1. Comparison of performance of Sfold and Cylofold. 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 Sfold and Cylofold).

  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 Sfold and Cylofold).

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

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 464
Total TN 111927
Total FP 177
Total FP CONTRA 18
Total FP INCONS 138
Total FP COMP 21
Total FN 443
Total Scores
MCC 0.616
Average MCC ± 95% Confidence Intervals 0.567 ± 0.091
Sensitivity 0.512
Positive Predictive Value 0.748
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.76 0.60 0.96 24 5126 5 0 1 4 16
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2LA5_A - 0.39 0.26 0.63 5 622 3 1 2 0 14
2LC8_A 0.45 0.35 0.58 7 1528 5 0 5 0 13
2LKR_A - 0.89 0.79 1.00 31 6074 1 0 0 1 8
2XQD_Y 0.77 0.67 0.90 18 2830 2 0 2 0 9
3ADB_C - 0.62 0.55 0.70 21 4156 9 0 9 0 17
3AKZ_H 0.44 0.39 0.50 11 2679 11 2 9 0 17
3AM1_B - 0.69 0.63 0.76 22 3211 7 1 6 0 13
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3IZF_C 0.71 0.61 0.83 33 6863 7 0 7 0 21
3J0L_a - 0.51 0.50 0.53 8 1113 7 3 4 0 8
3J0L_2 - 0.36 0.33 0.39 11 6188 19 2 15 2 22
3J0L_g - -0.01 0.00 0.00 0 460 5 1 4 0 4
3J0L_7 - -0.01 0.00 0.00 0 1222 3 0 3 0 17
3J16_L 0.29 0.23 0.37 7 2756 12 0 12 0 23
3NDB_M - 0.81 0.69 0.95 42 9136 3 0 2 1 19
3NKB_B - 0.64 0.54 0.78 14 1998 4 0 4 0 12
3O58_3 0.43 0.34 0.55 12 12381 17 0 10 7 23
3O58_2 0.74 0.74 0.74 28 7222 11 3 7 1 10
3PDR_A 0.69 0.56 0.85 40 12833 9 0 7 2 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.65 0.50 0.84 21 3891 4 1 3 0 21
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.51 0.32 0.80 12 3555 3 2 1 0 25
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 0.51 0.26 1.00 5 1321 0 0 0 0 14

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Performance of Cylofold - scored lower in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 464
Total TN 111909
Total FP 197
Total FP CONTRA 21
Total FP INCONS 153
Total FP COMP 23
Total FN 443
Total Scores
MCC 0.607
Average MCC ± 95% Confidence Intervals 0.586 ± 0.088
Sensitivity 0.512
Positive Predictive Value 0.727
Nr of predictions 28

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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
2KRL_A - 0.72 0.60 0.86 24 5123 8 2 2 4 16
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2LA5_A - 0.46 0.26 0.83 5 624 1 0 1 0 14
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2LKR_A - 0.50 0.44 0.59 17 6076 12 2 10 0 22
2XQD_Y 0.81 0.78 0.84 21 2825 4 4 0 0 6
3ADB_C - 0.78 0.71 0.87 27 4155 4 0 4 0 11
3AKZ_H 0.66 0.57 0.76 16 2680 6 0 5 1 12
3AM1_B - 0.76 0.63 0.92 22 3216 2 0 2 0 13
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
3J0L_a - 0.22 0.19 0.27 3 1117 8 1 7 0 13
3J0L_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_7 - 0.30 0.29 0.33 5 1210 10 0 10 0 12
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3NDB_M - 0.58 0.48 0.71 29 9139 13 1 11 1 32
3NKB_B - 0.40 0.31 0.53 8 2001 7 0 7 0 18
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
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.45 0.38 0.54 14 3544 12 1 11 0 23
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

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