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 RNAwolf - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) RNAwolf
MCC 0.664 > 0.396
Average MCC ± 95% Confidence Intervals 0.655 ± 0.152 > 0.416 ± 0.188
Sensitivity 0.618 > 0.425
Positive Predictive Value 0.721 > 0.381
Total TP 160 > 110
Total TN 25364 > 25297
Total FP 80 < 224
Total FP CONTRA 22 < 57
Total FP INCONS 40 < 122
Total FP COMP 18 < 45
Total FN 99 < 149
P-value 1.74172190343e-08

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Performance plots


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

  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 RNAwolf).

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

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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 160
Total TN 25364
Total FP 80
Total FP CONTRA 22
Total FP INCONS 40
Total FP COMP 18
Total FN 99
Total Scores
MCC 0.664
Average MCC ± 95% Confidence Intervals 0.655 ± 0.152
Sensitivity 0.618
Positive Predictive Value 0.721
Nr of predictions 12

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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
3J20_0 0.95 0.95 0.95 20 1198 1 1 0 0 1
3J3D_C 0.87 0.89 0.85 17 948 3 3 0 0 2
3J3E_8 0.34 0.33 0.36 5 2728 9 3 6 0 10
3J3F_8 0.54 0.58 0.50 11 4739 20 4 7 9 8
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
3ZEX_C 0.46 0.41 0.52 12 5351 16 2 9 5 17
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
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7

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Performance of RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 110
Total TN 25297
Total FP 224
Total FP CONTRA 57
Total FP INCONS 122
Total FP COMP 45
Total FN 149
Total Scores
MCC 0.396
Average MCC ± 95% Confidence Intervals 0.416 ± 0.188
Sensitivity 0.425
Positive Predictive Value 0.381
Nr of predictions 12

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.54 0.57 0.52 12 1196 12 2 9 1 9
3J3D_C 0.92 0.95 0.90 18 948 3 2 0 1 1
3J3E_8 -0.01 0.00 0.00 0 2719 37 6 17 14 15
3J3F_8 0.28 0.37 0.23 7 4730 39 9 15 15 12
3RKF_A 0.89 0.83 0.95 20 845 1 0 1 0 4
3SD1_A 0.58 0.59 0.59 17 1504 12 2 10 0 12
3ZEX_C 0.08 0.10 0.07 3 5328 43 18 25 0 26
4A1C_2 0.12 0.15 0.10 3 4487 38 12 14 12 17
4AOB_A 0.26 0.24 0.30 7 1414 17 2 14 1 22
4ENB_A 0.45 0.40 0.55 6 461 5 1 4 0 9
4ENC_A 0.34 0.33 0.38 5 483 9 0 8 1 10
4FRG_B 0.54 0.50 0.60 12 1182 8 3 5 0 12

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