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 RNAsubopt - scored lower in this pairwise comparison

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


Overview

Metric IPknot RNAsubopt
MCC 0.567 > 0.473
Average MCC ± 95% Confidence Intervals 0.507 ± 0.142 > 0.418 ± 0.143
Sensitivity 0.463 > 0.414
Positive Predictive Value 0.702 > 0.550
Total TP 233 > 208
Total TN 60875 > 60829
Total FP 110 < 190
Total FP CONTRA 12 < 15
Total FP INCONS 87 < 155
Total FP COMP 11 < 20
Total FN 270 < 295
P-value 2.7402423548e-08

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Performance plots


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

  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 RNAsubopt).

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

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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 RNAsubopt - scored lower in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 208
Total TN 60829
Total FP 190
Total FP CONTRA 15
Total FP INCONS 155
Total FP COMP 20
Total FN 295
Total Scores
MCC 0.473
Average MCC ± 95% Confidence Intervals 0.418 ± 0.143
Sensitivity 0.414
Positive Predictive Value 0.550
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2LKR_A - 0.81 0.77 0.86 30 6070 9 0 5 4 9
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J0L_g - -0.01 0.00 0.00 0 460 5 1 4 0 4
3J0L_a - 0.35 0.31 0.42 5 1116 7 1 6 0 11
3J0L_2 - 0.25 0.24 0.28 8 6187 25 0 21 4 25
3J0L_7 - -0.01 0.00 0.00 0 1213 12 0 12 0 17
3J16_L 0.41 0.37 0.48 11 2752 12 1 11 0 19
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4AOB_A 0.52 0.43 0.64 18 4343 11 2 8 1 24
4ENB_A 0.70 0.58 0.85 11 1262 2 1 1 0 8
4ENC_A 0.32 0.26 0.42 5 1314 7 0 7 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.