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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric IPknot Sfold
MCC 0.567 > 0.524
Average MCC ± 95% Confidence Intervals 0.507 ± 0.142 > 0.476 ± 0.135
Sensitivity 0.463 > 0.425
Positive Predictive Value 0.702 > 0.652
Total TP 233 > 214
Total TN 60875 < 60879
Total FP 110 < 129
Total FP CONTRA 12 < 14
Total FP INCONS 87 < 100
Total FP COMP 11 < 15
Total FN 270 < 289
P-value 3.16042554876e-08

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Performance plots


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

  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 IPknot and Sfold).

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

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 233
Total TN 60875
Total FP 110
Total FP CONTRA 12
Total FP INCONS 87
Total FP COMP 11
Total FN 270
Total Scores
MCC 0.567
Average MCC ± 95% Confidence Intervals 0.507 ± 0.142
Sensitivity 0.463
Positive Predictive Value 0.702
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.40 0.30 0.55 6 1529 5 1 4 0 14
2LKR_A - 0.84 0.77 0.91 30 6072 4 0 3 1 9
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.21 0.19 0.25 3 1116 9 1 8 0 13
3J0L_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
3J0L_7 - -0.01 0.00 0.00 0 1218 7 0 7 0 17
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.48 0.80 20 3891 5 0 5 0 22
3U4M_B - 0.68 0.54 0.87 20 3137 3 1 2 0 17
3UZL_B 0.72 0.54 0.95 20 3549 1 0 1 0 17
4A1C_2 0.17 0.15 0.19 5 11755 26 4 17 5 28
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11

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Performance of Sfold - scored lower in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 214
Total TN 60879
Total FP 129
Total FP CONTRA 14
Total FP INCONS 100
Total FP COMP 15
Total FN 289
Total Scores
MCC 0.524
Average MCC ± 95% Confidence Intervals 0.476 ± 0.135
Sensitivity 0.425
Positive Predictive Value 0.652
Nr of predictions 17

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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
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
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J0L_g - -0.01 0.00 0.00 0 460 5 1 4 0 4
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_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
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
4A1C_2 0.16 0.15 0.17 5 11751 34 2 23 9 28
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.