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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Pknots Cylofold
MCC 0.617 > 0.607
Average MCC ± 95% Confidence Intervals 0.607 ± 0.104 > 0.586 ± 0.088
Sensitivity 0.549 > 0.512
Positive Predictive Value 0.698 < 0.727
Total TP 498 > 464
Total TN 111834 < 111909
Total FP 231 > 197
Total FP CONTRA 30 > 21
Total FP INCONS 185 > 153
Total FP COMP 16 < 23
Total FN 409 < 443
P-value 1.27663599501e-06

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Performance plots


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

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

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Performance of Pknots - scored higher in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 498
Total TN 111834
Total FP 231
Total FP CONTRA 30
Total FP INCONS 185
Total FP COMP 16
Total FN 409
Total Scores
MCC 0.617
Average MCC ± 95% Confidence Intervals 0.607 ± 0.104
Sensitivity 0.549
Positive Predictive Value 0.698
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.67 0.58 0.79 23 5122 9 2 4 3 17
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 0.79 0.75 0.83 15 1522 3 1 2 0 5
2LKR_A - 0.44 0.44 0.45 17 6067 22 4 17 1 22
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3ADB_C - 0.92 0.84 1.00 32 4154 0 0 0 0 6
3AKZ_H 0.84 0.75 0.95 21 2679 1 1 0 0 7
3AM1_B - 0.91 0.83 1.00 29 3211 0 0 0 0 6
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J0L_a - 0.35 0.31 0.42 5 1116 7 1 6 0 11
3J0L_2 - 0.36 0.36 0.36 12 6183 23 3 18 2 21
3J0L_g - -0.01 0.00 0.00 0 460 5 2 3 0 4
3J0L_7 - 0.28 0.29 0.29 5 1208 12 0 12 0 12
3J16_L 0.34 0.30 0.41 9 2753 13 0 13 0 21
3NDB_M - 0.77 0.69 0.88 42 9132 7 1 5 1 19
3NKB_B - 0.55 0.50 0.62 13 1995 8 0 8 0 13
3O58_3 0.27 0.31 0.24 11 12357 38 11 24 3 24
3O58_2 0.83 0.74 0.93 28 7230 3 0 2 1 10
3PDR_A 0.54 0.44 0.65 32 12831 19 0 17 2 40
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.65 0.52 0.81 22 3889 5 0 5 0 20
3U4M_B - 0.26 0.22 0.32 8 3135 17 0 17 0 29
3UZL_B 0.75 0.59 0.96 22 3547 1 0 1 0 15
4AOB_A 0.17 0.14 0.21 6 4343 23 1 21 1 36
4ENB_A 0.83 0.79 0.88 15 1258 2 1 1 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4

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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.