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

  1. Overview

  2. Performance Plots

  3. Performance of Sfold - scored higher in this pairwise comparison

  4. Performance of RNASampler(seed) - scored lower in this pairwise comparison

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


Overview

Metric Sfold RNASampler(seed)
MCC 0.785 > 0.728
Average MCC ± 95% Confidence Intervals 0.799 ± 0.117 > 0.736 ± 0.126
Sensitivity 0.771 > 0.634
Positive Predictive Value 0.805 < 0.843
Total TP 314 > 258
Total TN 30714 < 30798
Total FP 133 > 77
Total FP CONTRA 25 > 17
Total FP INCONS 51 > 31
Total FP COMP 57 > 29
Total FN 93 < 149
P-value 3.24519439238e-08

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Performance plots


  1. Comparison of performance of Sfold and RNASampler(seed). 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 Sfold and RNASampler(seed)).

  2. Comparison of performance of Sfold and RNASampler(seed). 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 Sfold and RNASampler(seed)).

  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 Sfold and RNASampler(seed)).

  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 Sfold and RNASampler(seed)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for Sfold and RNASampler(seed). 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 Sfold and RNASampler(seed)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for Sfold and RNASampler(seed). 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 Sfold and RNASampler(seed)).

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 314
Total TN 30714
Total FP 133
Total FP CONTRA 25
Total FP INCONS 51
Total FP COMP 57
Total FN 93
Total Scores
MCC 0.785
Average MCC ± 95% Confidence Intervals 0.799 ± 0.117
Sensitivity 0.771
Positive Predictive Value 0.805
Nr of predictions 19

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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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.94 0.94 0.94 17 449 2 0 1 1 1
2KUR_A 0.95 0.95 0.95 18 448 1 0 1 0 1
2KUU_A 0.94 0.94 0.94 17 429 2 0 1 1 1
2KUV_A 0.94 0.95 0.95 18 420 1 0 1 0 1
2KUW_A 0.94 0.94 0.94 17 452 2 0 1 1 1
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.46 0.39 0.58 7 516 5 0 5 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.68 0.83 0.56 10 4738 23 7 1 15 2
3O58_3 0.51 0.50 0.52 11 4743 18 2 8 8 11
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
3W3S_B 0.63 0.64 0.64 21 1956 13 4 8 1 12
3ZEX_C 0.41 0.34 0.50 10 5354 27 2 8 17 19
4A1C_2 0.21 0.25 0.19 5 4489 34 8 14 12 15

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Performance of RNASampler(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RNASampler(seed)

Total Base Pair Counts
Total TP 258
Total TN 30798
Total FP 77
Total FP CONTRA 17
Total FP INCONS 31
Total FP COMP 29
Total FN 149
Total Scores
MCC 0.728
Average MCC ± 95% Confidence Intervals 0.736 ± 0.126
Sensitivity 0.634
Positive Predictive Value 0.843
Nr of predictions 19

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2. Individual counts for RNASampler(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.94 0.89 1.00 16 451 1 0 0 1 2
2KUR_A 0.94 0.89 1.00 17 450 0 0 0 0 2
2KUU_A 0.94 0.89 1.00 16 431 1 0 0 1 2
2KUV_A 0.94 0.89 1.00 17 422 0 0 0 0 2
2KUW_A 0.94 0.89 1.00 16 454 1 0 0 1 2
2L1F_A 0.83 0.70 1.00 16 747 0 0 0 0 7
2L1F_B 0.84 0.71 1.00 17 774 0 0 0 0 7
2L94_A 0.70 0.56 0.91 10 346 2 0 1 1 8
2LC8_A -0.03 0.00 0.00 0 518 10 0 10 0 18
3A3A_A 0.77 0.60 1.00 18 1482 0 0 0 0 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.70 0.83 0.59 10 4739 13 6 1 6 2
3O58_3 0.54 0.50 0.58 11 4745 13 5 3 5 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
3W3S_B 0.60 0.36 1.00 12 1977 1 0 0 1 21
3ZEX_C 0.39 0.31 0.50 9 5356 14 2 7 5 20
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12

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