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 ProbKnot - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) ProbKnot
MCC 0.741 > 0.686
Average MCC ± 95% Confidence Intervals 0.716 ± 0.113 > 0.701 ± 0.122
Sensitivity 0.639 < 0.713
Positive Predictive Value 0.863 > 0.665
Total TP 347 < 387
Total TN 61016 > 60836
Total FP 90 < 280
Total FP CONTRA 17 < 59
Total FP INCONS 38 < 136
Total FP COMP 35 < 85
Total FN 196 > 156
P-value 3.30280588002e-08

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Performance plots


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

  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 ProbKnot).

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

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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 347
Total TN 61016
Total FP 90
Total FP CONTRA 17
Total FP INCONS 38
Total FP COMP 35
Total FN 196
Total Scores
MCC 0.741
Average MCC ± 95% Confidence Intervals 0.716 ± 0.113
Sensitivity 0.639
Positive Predictive Value 0.863
Nr of predictions 18

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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
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
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
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3AMU_B 1.00 1.00 1.00 19 1138 2 0 0 2 0
3IZ4_A 0.65 0.48 0.87 46 25483 15 4 3 8 49
3IZF_C 0.90 0.89 0.91 31 2606 6 0 3 3 4
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
3O58_2 0.97 0.94 1.00 29 2725 7 0 0 7 2
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_3 0.90 0.84 0.97 31 2731 1 0 1 0 6
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 ProbKnot - scored lower in this pairwise comparison

1. Total counts & total scores for ProbKnot

Total Base Pair Counts
Total TP 387
Total TN 60836
Total FP 280
Total FP CONTRA 59
Total FP INCONS 136
Total FP COMP 85
Total FN 156
Total Scores
MCC 0.686
Average MCC ± 95% Confidence Intervals 0.701 ± 0.122
Sensitivity 0.713
Positive Predictive Value 0.665
Nr of predictions 18

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2. Individual counts for ProbKnot [ 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
2XKV_B 0.64 0.73 0.57 8 1821 26 0 6 20 3
2XQD_Y 1.00 1.00 1.00 21 1108 2 0 0 2 0
2XXA_G 0.25 0.26 0.26 9 2011 26 1 24 1 26
3AMU_B 0.77 0.79 0.75 15 1137 9 0 5 4 4
3IZ4_A 0.59 0.61 0.57 58 25435 49 17 26 6 37
3IZF_C 0.90 0.91 0.89 32 2604 7 0 4 3 3
3NPB_A 0.79 0.73 0.87 27 2247 9 0 4 5 10
3O58_3 0.38 0.50 0.29 11 4726 42 10 17 15 11
3O58_2 0.91 0.94 0.88 29 2721 10 0 4 6 2
3PDR_A 0.88 0.92 0.85 46 4786 10 5 3 2 4
3RKF_A 0.87 0.83 0.91 20 844 2 2 0 0 4
3SD1_A 0.66 0.69 0.65 20 1502 11 6 5 0 9
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
4A1C_2 0.17 0.25 0.13 5 4477 49 13 21 15 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.81 0.73 0.92 11 460 1 1 0 0 4
4ENC_A 0.52 0.53 0.53 8 481 8 0 7 1 7

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