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 Pknots - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) Pknots
MCC 0.778 > 0.670
Average MCC ± 95% Confidence Intervals 0.754 ± 0.131 > 0.705 ± 0.160
Sensitivity 0.702 > 0.691
Positive Predictive Value 0.869 > 0.658
Total TP 252 > 248
Total TN 26437 > 26350
Total FP 51 < 165
Total FP CONTRA 14 < 43
Total FP INCONS 24 < 86
Total FP COMP 13 < 36
Total FN 107 < 111
P-value 2.54914456376e-08

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Performance plots


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

  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 Pknots).

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

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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 252
Total TN 26437
Total FP 51
Total FP CONTRA 14
Total FP INCONS 24
Total FP COMP 13
Total FN 107
Total Scores
MCC 0.778
Average MCC ± 95% Confidence Intervals 0.754 ± 0.131
Sensitivity 0.702
Positive Predictive Value 0.869
Nr of predictions 14

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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
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
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
3NPB_A 0.75 0.57 1.00 21 2257 4 0 0 4 16
3O58_3 0.42 0.36 0.50 8 4748 9 3 5 1 14
3PDR_A 0.92 0.88 0.96 44 4794 3 1 1 1 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
4A1C_2 0.22 0.25 0.19 5 4490 23 5 16 2 15
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 Pknots - scored lower in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 248
Total TN 26350
Total FP 165
Total FP CONTRA 43
Total FP INCONS 86
Total FP COMP 36
Total FN 111
Total Scores
MCC 0.670
Average MCC ± 95% Confidence Intervals 0.705 ± 0.160
Sensitivity 0.691
Positive Predictive Value 0.658
Nr of predictions 14

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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
3A2K_C 0.50 0.55 0.48 12 1083 13 3 10 0 10
3GX2_A 0.55 0.57 0.55 16 1420 14 4 9 1 12
3IVN_B 0.91 0.87 0.95 20 882 1 0 1 0 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.94 0.88 1.00 22 932 0 0 0 0 3
3NPB_A 0.84 0.81 0.88 30 2244 9 0 4 5 7
3O58_3 0.32 0.45 0.24 10 4722 39 18 14 7 12
3PDR_A 0.64 0.64 0.65 32 4791 19 4 13 2 18
3RKF_A 0.91 0.88 0.95 21 844 1 0 1 0 3
3SD1_A 0.78 0.76 0.81 22 1506 5 1 4 0 7
4A1C_2 0.33 0.40 0.29 8 4488 36 9 11 16 12
4AOB_A 0.19 0.21 0.21 6 1409 23 3 19 1 23
4ENB_A 1.00 1.00 1.00 15 457 2 0 0 2 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0

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