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 0.655 > 0.594
Average MCC ± 95% Confidence Intervals 0.670 ± 0.108 > 0.611 ± 0.112
Sensitivity 0.529 > 0.488
Positive Predictive Value 0.816 > 0.729
Total TP 280 > 258
Total TN 74024 > 74013
Total FP 82 < 126
Total FP CONTRA 5 < 8
Total FP INCONS 58 < 88
Total FP COMP 19 < 30
Total FN 249 < 271
P-value 2.91763127434e-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 280
Total TN 74024
Total FP 82
Total FP CONTRA 5
Total FP INCONS 58
Total FP COMP 19
Total FN 249
Total Scores
MCC 0.655
Average MCC ± 95% Confidence Intervals 0.670 ± 0.108
Sensitivity 0.529
Positive Predictive Value 0.816
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 0.92 0.90 0.95 18 971 1 0 1 0 2
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.66 0.57 0.77 17 2828 6 0 5 1 13
3J2L_3 0.74 0.58 0.94 31 7842 5 0 2 3 22
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.59 0.48 0.74 20 3889 7 1 6 0 22
3ZEX_C 0.39 0.27 0.56 14 14171 14 2 9 3 38
3ZEX_D 0.76 0.63 0.91 31 6987 3 0 3 0 18
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4A1C_2 0.18 0.15 0.21 5 11757 28 0 19 9 28
4AOB_A 0.56 0.40 0.77 17 4349 6 1 4 1 25
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11

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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 258
Total TN 74013
Total FP 126
Total FP CONTRA 8
Total FP INCONS 88
Total FP COMP 30
Total FN 271
Total Scores
MCC 0.594
Average MCC ± 95% Confidence Intervals 0.611 ± 0.112
Sensitivity 0.488
Positive Predictive Value 0.729
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 0.97 0.95 1.00 19 971 0 0 0 0 1
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J20_1 0.73 0.70 0.76 16 2905 6 0 5 1 7
3J20_0 0.43 0.40 0.48 12 2825 14 0 13 1 18
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.65 0.50 0.84 21 3891 4 1 3 0 21
3ZEX_C 0.32 0.21 0.48 11 14173 26 1 11 14 41
3ZEX_D 0.74 0.63 0.86 31 6985 5 0 5 0 18
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4A1C_2 0.16 0.15 0.17 5 11751 34 2 23 9 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14
4FRG_B 0.62 0.47 0.83 15 3468 3 1 2 0 17

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