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

  1. Overview

  2. Performance Plots

  3. Performance of RNAalifold(20) - scored higher in this pairwise comparison

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

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


Overview

Metric RNAalifold(20) RDfolder
MCC 0.840 > 0.624
Average MCC ± 95% Confidence Intervals 0.810 ± 0.094 > 0.636 ± 0.198
Sensitivity 0.752 > 0.591
Positive Predictive Value 0.945 > 0.674
Total TP 239 > 188
Total TN 15880 > 15854
Total FP 38 < 110
Total FP CONTRA 5 < 24
Total FP INCONS 9 < 67
Total FP COMP 24 > 19
Total FN 79 < 130
P-value 3.02344513449e-08

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Performance plots


  1. Comparison of performance of RNAalifold(20) and RDfolder. 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 RNAalifold(20) and RDfolder).

  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 RNAalifold(20) and RDfolder).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and RDfolder. 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 RNAalifold(20) and RDfolder).

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Performance of RNAalifold(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 239
Total TN 15880
Total FP 38
Total FP CONTRA 5
Total FP INCONS 9
Total FP COMP 24
Total FN 79
Total Scores
MCC 0.840
Average MCC ± 95% Confidence Intervals 0.810 ± 0.094
Sensitivity 0.752
Positive Predictive Value 0.945
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.62 0.40 1.00 4 170 0 0 0 0 6
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 1.00 1.00 1.00 19 1138 2 0 0 2 0
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.78 0.95 18 884 1 1 0 0 5
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.87 0.76 1.00 19 935 0 0 0 0 6
3RKF_A 0.81 0.71 0.94 17 848 1 0 1 0 7
3SD1_A 0.84 0.86 0.83 25 1503 5 4 1 0 4
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9

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Performance of RDfolder - scored lower in this pairwise comparison

1. Total counts & total scores for RDfolder

Total Base Pair Counts
Total TP 188
Total TN 15854
Total FP 110
Total FP CONTRA 24
Total FP INCONS 67
Total FP COMP 19
Total FN 130
Total Scores
MCC 0.624
Average MCC ± 95% Confidence Intervals 0.636 ± 0.198
Sensitivity 0.591
Positive Predictive Value 0.674
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 0
2XKV_B -0.01 0.00 0.00 0 1813 22 10 12 0 11
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 0.20 0.21 0.22 4 1139 16 4 10 2 15
3GX2_A 0.60 0.57 0.64 16 1424 10 2 7 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.35 0.24 0.54 7 1520 6 1 5 0 22
4AOB_A 0.42 0.38 0.48 11 1414 13 3 9 1 18
4ENB_A 0.48 0.40 0.60 6 462 4 0 4 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 0 4 0 9

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