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 Sfold - scored lower in this pairwise comparison

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


Overview

Metric TurboFold(20) Sfold
MCC 0.773 > 0.703
Average MCC ± 95% Confidence Intervals 0.771 ± 0.111 > 0.703 ± 0.116
Sensitivity 0.737 > 0.675
Positive Predictive Value 0.817 > 0.741
Total TP 272 > 249
Total TN 27987 > 27984
Total FP 90 < 135
Total FP CONTRA 15 < 23
Total FP INCONS 46 < 64
Total FP COMP 29 < 48
Total FN 97 < 120
P-value 2.00627773251e-08

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Performance plots


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

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

  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 Sfold).

  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 Sfold).

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

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

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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 Sfold - scored lower in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 249
Total TN 27984
Total FP 135
Total FP CONTRA 23
Total FP INCONS 64
Total FP COMP 48
Total FN 120
Total Scores
MCC 0.703
Average MCC ± 95% Confidence Intervals 0.703 ± 0.116
Sensitivity 0.675
Positive Predictive Value 0.741
Nr of predictions 15

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2. Individual counts for Sfold [ 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 0.75 0.75 0.75 15 1092 7 0 5 2 5
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 0.78 0.72 0.84 21 1508 4 2 2 0 8
3ZEX_C 0.41 0.34 0.50 10 5354 27 2 8 17 19
3ZEX_D 0.85 0.80 0.90 28 2765 8 0 3 5 7
4A1C_3 0.83 0.81 0.86 30 2728 7 0 5 2 7
4A1C_2 0.21 0.25 0.19 5 4489 34 8 14 12 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10
4FRG_B 0.67 0.58 0.78 14 1184 4 3 1 0 10

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