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 PknotsRG - scored lower in this pairwise comparison

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


Overview

Metric CentroidAlifold(20) PknotsRG
MCC 0.803 > 0.664
Average MCC ± 95% Confidence Intervals 0.799 ± 0.092 > 0.684 ± 0.172
Sensitivity 0.694 > 0.685
Positive Predictive Value 0.932 > 0.649
Total TP 315 > 311
Total TN 51925 > 51784
Total FP 39 < 206
Total FP CONTRA 16 < 62
Total FP INCONS 7 < 106
Total FP COMP 16 < 38
Total FN 139 < 143
P-value 2.86595104665e-08

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Performance plots


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

  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 PknotsRG).

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

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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 PknotsRG - scored lower in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 311
Total TN 51784
Total FP 206
Total FP CONTRA 62
Total FP INCONS 106
Total FP COMP 38
Total FN 143
Total Scores
MCC 0.664
Average MCC ± 95% Confidence Intervals 0.684 ± 0.172
Sensitivity 0.685
Positive Predictive Value 0.649
Nr of predictions 15

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2. Individual counts for PknotsRG [ 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 0.80 0.79 0.81 22 1422 6 2 3 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 25 28 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 0.93 0.86 1.00 32 2246 4 0 0 4 5
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
4A1C_2 0.18 0.25 0.14 5 4480 43 11 20 12 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.