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 IPknot - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) IPknot
MCC 0.664 > 0.536
Average MCC ± 95% Confidence Intervals 0.655 ± 0.152 > 0.541 ± 0.166
Sensitivity 0.618 > 0.525
Positive Predictive Value 0.721 > 0.557
Total TP 160 > 136
Total TN 25364 > 25342
Total FP 80 < 145
Total FP CONTRA 22 < 37
Total FP INCONS 40 < 71
Total FP COMP 18 < 37
Total FN 99 < 123
P-value 1.19192530585e-08

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Performance plots


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

  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 IPknot).

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

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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 IPknot - scored lower in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 136
Total TN 25342
Total FP 145
Total FP CONTRA 37
Total FP INCONS 71
Total FP COMP 37
Total FN 123
Total Scores
MCC 0.536
Average MCC ± 95% Confidence Intervals 0.541 ± 0.166
Sensitivity 0.525
Positive Predictive Value 0.557
Nr of predictions 12

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2. Individual counts for IPknot [ 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 3 8 1 9
3J3D_C 0.52 0.53 0.53 10 949 9 3 6 0 9
3J3E_8 -0.01 0.00 0.00 0 2723 25 5 14 6 15
3J3F_8 0.36 0.47 0.28 9 4729 40 11 12 17 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.74 0.69 0.80 20 1508 5 0 5 0 9
3ZEX_C 0.51 0.34 0.77 10 5361 7 1 2 4 19
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.59 0.53 0.67 8 484 4 0 4 0 7
4FRG_B 0.75 0.71 0.81 17 1181 4 3 1 0 7

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