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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric TurboFold(20) PknotsRG
MCC 0.773 > 0.696
Average MCC ± 95% Confidence Intervals 0.771 ± 0.111 > 0.727 ± 0.151
Sensitivity 0.737 > 0.718
Positive Predictive Value 0.817 > 0.683
Total TP 272 > 265
Total TN 27987 > 27932
Total FP 90 < 169
Total FP CONTRA 15 < 31
Total FP INCONS 46 < 92
Total FP COMP 29 < 46
Total FN 97 < 104
P-value 2.59578924681e-08

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Performance plots


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

  2. Comparison of performance of TurboFold(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 TurboFold(20) and PknotsRG).

  3. 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 TurboFold(20) and PknotsRG).

  4. 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 TurboFold(20) and PknotsRG).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(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 TurboFold(20) and PknotsRG).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(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 TurboFold(20) and PknotsRG).

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

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

Total Base Pair Counts
Total TP 272
Total TN 27987
Total FP 90
Total FP CONTRA 15
Total FP INCONS 46
Total FP COMP 29
Total FN 97
Total Scores
MCC 0.773
Average MCC ± 95% Confidence Intervals 0.771 ± 0.111
Sensitivity 0.737
Positive Predictive Value 0.817
Nr of predictions 15

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2. Individual counts for TurboFold(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.74 0.76 0.73 16 1197 7 1 5 1 5
3J2L_3 0.92 0.91 0.94 31 2987 5 1 1 3 3
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.71 0.69 0.74 20 1506 7 2 5 0 9
3ZEX_C 0.49 0.45 0.54 13 5350 15 2 9 4 16
3ZEX_D 0.86 0.80 0.93 28 2766 6 0 2 4 7
4A1C_3 0.86 0.84 0.89 31 2728 6 0 4 2 6
4A1C_2 0.22 0.25 0.21 5 4492 28 6 13 9 15
4AOB_A 0.67 0.59 0.77 17 1415 6 2 3 1 12
4ENB_A 0.77 0.60 1.00 9 463 0 0 0 0 6
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRG_B 0.93 0.88 1.00 21 1181 0 0 0 0 3

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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 265
Total TN 27932
Total FP 169
Total FP CONTRA 31
Total FP INCONS 92
Total FP COMP 46
Total FN 104
Total Scores
MCC 0.696
Average MCC ± 95% Confidence Intervals 0.727 ± 0.151
Sensitivity 0.718
Positive Predictive Value 0.683
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
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.51 0.57 0.48 12 1194 14 3 10 1 9
3J2L_3 0.80 0.82 0.78 28 2984 12 1 7 4 6
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
3ZEX_C 0.30 0.34 0.26 10 5336 44 5 23 16 19
3ZEX_D 0.88 0.83 0.94 29 2765 6 0 2 4 6
4A1C_3 0.85 0.84 0.86 31 2727 8 0 5 3 6
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
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 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.