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 0.683 > 0.562
Average MCC ± 95% Confidence Intervals 0.662 ± 0.120 > 0.533 ± 0.131
Sensitivity 0.603 > 0.600
Positive Predictive Value 0.779 > 0.532
Total TP 279 > 278
Total TN 62646 > 62481
Total FP 111 < 328
Total FP CONTRA 30 < 92
Total FP INCONS 49 < 153
Total FP COMP 32 < 83
Total FN 184 < 185
P-value 1.58287649515e-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 279
Total TN 62646
Total FP 111
Total FP CONTRA 30
Total FP INCONS 49
Total FP COMP 32
Total FN 184
Total Scores
MCC 0.683
Average MCC ± 95% Confidence Intervals 0.662 ± 0.120
Sensitivity 0.603
Positive Predictive Value 0.779
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
3IZ4_A 0.65 0.48 0.87 46 25483 15 4 3 8 49
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
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
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 ProbKnot - scored lower in this pairwise comparison

1. Total counts & total scores for ProbKnot

Total Base Pair Counts
Total TP 278
Total TN 62481
Total FP 328
Total FP CONTRA 92
Total FP INCONS 153
Total FP COMP 83
Total FN 185
Total Scores
MCC 0.562
Average MCC ± 95% Confidence Intervals 0.533 ± 0.131
Sensitivity 0.600
Positive Predictive Value 0.532
Nr of predictions 16

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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
3IZ4_A 0.59 0.61 0.57 58 25435 49 17 26 6 37
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J3D_C 0.46 0.53 0.42 10 944 14 6 8 0 9
3J3E_8 -0.01 0.00 0.00 0 2718 37 6 18 13 15
3J3F_8 0.39 0.47 0.33 9 4734 38 9 9 20 10
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
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
3ZEX_C 0.48 0.52 0.45 15 5341 22 4 14 4 14
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
4FRG_B 0.38 0.38 0.41 9 1180 13 6 7 0 15

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