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

  1. Overview

  2. Performance Plots

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

  4. Performance of Multilign(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for Contrafold & Multilign(20) [.zip] - may take several seconds...


Overview

Metric Contrafold Multilign(20)
MCC 0.673 > 0.652
Average MCC ± 95% Confidence Intervals 0.697 ± 0.142 > 0.638 ± 0.177
Sensitivity 0.675 > 0.624
Positive Predictive Value 0.680 < 0.692
Total TP 253 > 234
Total TN 24619 < 24653
Total FP 160 > 131
Total FP CONTRA 28 > 23
Total FP INCONS 91 > 81
Total FP COMP 41 > 27
Total FN 122 < 141
P-value 5.58152010255e-08

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Performance plots


  1. Comparison of performance of Contrafold and Multilign(20). 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 Contrafold and Multilign(20)).

  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 Contrafold and Multilign(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Contrafold and Multilign(20). 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 Contrafold and Multilign(20)).

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Performance of Contrafold - scored higher in this pairwise comparison

1. Total counts & total scores for Contrafold

Total Base Pair Counts
Total TP 253
Total TN 24619
Total FP 160
Total FP CONTRA 28
Total FP INCONS 91
Total FP COMP 41
Total FN 122
Total Scores
MCC 0.673
Average MCC ± 95% Confidence Intervals 0.697 ± 0.142
Sensitivity 0.675
Positive Predictive Value 0.680
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2XXA_G 0.10 0.11 0.12 4 2012 30 2 27 1 31
3AMU_B 0.75 0.79 0.71 15 1136 9 0 6 3 4
3J20_0 0.53 0.57 0.50 12 1195 13 3 9 1 9
3J20_1 1.00 1.00 1.00 20 1092 5 0 0 5 0
3J2L_3 0.74 0.76 0.72 26 2984 16 1 9 6 8
3RKF_A 0.87 0.83 0.91 20 844 2 2 0 0 4
3SD1_A 0.68 0.69 0.69 20 1504 9 5 4 0 9
3ZEX_D 0.87 0.86 0.88 30 2762 11 0 4 7 5
4A1C_3 0.81 0.81 0.81 30 2726 10 0 7 3 7
4A1C_2 0.21 0.25 0.19 5 4489 33 9 13 11 15
4AOB_A 0.53 0.52 0.56 15 1410 13 3 9 1 14
4ENB_A 0.85 0.73 1.00 11 461 1 0 0 1 4
4ENC_A 0.85 0.73 1.00 11 485 1 0 0 1 4
4FRG_B 0.73 0.71 0.77 17 1180 5 3 2 0 7

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Performance of Multilign(20) - scored lower in this pairwise comparison

1. Total counts & total scores for Multilign(20)

Total Base Pair Counts
Total TP 234
Total TN 24653
Total FP 131
Total FP CONTRA 23
Total FP INCONS 81
Total FP COMP 27
Total FN 141
Total Scores
MCC 0.652
Average MCC ± 95% Confidence Intervals 0.638 ± 0.177
Sensitivity 0.624
Positive Predictive Value 0.692
Nr of predictions 15

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2. Individual counts for Multilign(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2XXA_G -0.01 0.00 0.00 0 2033 12 2 10 0 35
3AMU_B 0.71 0.74 0.70 14 1137 9 0 6 3 5
3J20_0 0.68 0.71 0.65 15 1196 9 2 6 1 6
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.80 0.79 0.82 27 2987 10 0 6 4 7
3RKF_A 0.91 0.88 0.95 21 844 1 0 1 0 3
3SD1_A 0.68 0.69 0.69 20 1504 9 4 5 0 9
3ZEX_D 0.88 0.83 0.94 29 2765 8 0 2 6 6
4A1C_3 0.88 0.86 0.89 32 2727 6 0 4 2 5
4A1C_2 0.20 0.25 0.16 5 4485 33 9 17 7 15
4AOB_A 0.59 0.55 0.64 16 1412 10 3 6 1 13
4ENB_A 0.39 0.33 0.50 5 462 6 0 5 1 10
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRG_B 0.13 0.13 0.17 3 1184 15 2 13 0 21

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