CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of CentroidAlifold(20) - scored higher in this pairwise comparison

  4. Performance of HotKnots - scored lower in this pairwise comparison

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


Overview

Metric CentroidAlifold(20) HotKnots
MCC 0.803 > 0.640
Average MCC ± 95% Confidence Intervals 0.799 ± 0.092 > 0.666 ± 0.174
Sensitivity 0.694 > 0.663
Positive Predictive Value 0.932 > 0.623
Total TP 315 > 301
Total TN 51925 > 51780
Total FP 39 < 209
Total FP CONTRA 16 < 75
Total FP INCONS 7 < 107
Total FP COMP 16 < 27
Total FN 139 < 153
P-value 2.64318034126e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(20) and HotKnots. 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 CentroidAlifold(20) and HotKnots).

  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 CentroidAlifold(20) and HotKnots).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(20) and HotKnots. 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 CentroidAlifold(20) and HotKnots).

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Performance of CentroidAlifold(20) - scored higher in this pairwise comparison

1. Total counts & total scores for CentroidAlifold(20)

Total Base Pair Counts
Total TP 315
Total TN 51925
Total FP 39
Total FP CONTRA 16
Total FP INCONS 7
Total FP COMP 16
Total FN 139
Total Scores
MCC 0.803
Average MCC ± 95% Confidence Intervals 0.799 ± 0.092
Sensitivity 0.694
Positive Predictive Value 0.932
Nr of predictions 15

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2. Individual counts for CentroidAlifold(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 0.83 0.90 19 882 2 2 0 0 4
3IZ4_A 0.67 0.52 0.88 49 25480 9 7 0 2 46
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.77 0.65 0.92 24 2252 6 1 1 4 13
3O58_3 0.64 0.45 0.91 10 4753 2 1 0 1 12
3PDR_A 0.92 0.90 0.94 45 4792 5 1 2 2 5
3RKF_A 0.86 0.75 1.00 18 848 0 0 0 0 6
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
4A1C_2 0.33 0.25 0.45 5 4505 8 3 3 2 15
4AOB_A 0.89 0.79 1.00 23 1414 2 0 0 2 6
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.68 0.47 1.00 7 489 0 0 0 0 8

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Performance of HotKnots - scored lower in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 301
Total TN 51780
Total FP 209
Total FP CONTRA 75
Total FP INCONS 107
Total FP COMP 27
Total FN 153
Total Scores
MCC 0.640
Average MCC ± 95% Confidence Intervals 0.666 ± 0.174
Sensitivity 0.663
Positive Predictive Value 0.623
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3GX2_A 0.81 0.79 0.85 22 1423 5 2 2 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.56 0.60 0.52 57 25426 57 26 27 4 38
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.85 0.78 0.94 29 2247 6 0 2 4 8
3O58_3 0.26 0.36 0.19 8 4722 35 16 18 1 14
3PDR_A 0.81 0.80 0.82 40 4791 11 3 6 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.77 0.76 0.79 22 1505 6 4 2 0 7
4A1C_2 0.19 0.25 0.15 5 4483 42 12 16 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 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.