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

  1. Overview

  2. Performance Plots

  3. Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for PETfold_pre2.0(seed) & RNAalifold(seed) [.zip] - may take several seconds...


Overview

Metric PETfold_pre2.0(seed) RNAalifold(seed)
MCC 0.826 > 0.767
Average MCC ± 95% Confidence Intervals 0.752 ± 0.076 > 0.589 ± 0.163
Sensitivity 0.794 > 0.670
Positive Predictive Value 0.860 < 0.878
Total TP 565 > 477
Total TN 449836 < 449950
Total FP 210 > 129
Total FP CONTRA 31 > 13
Total FP INCONS 61 > 53
Total FP COMP 118 > 63
Total FN 147 < 235
P-value 2.57237423209e-08

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Performance plots


  1. Comparison of performance of PETfold_pre2.0(seed) and RNAalifold(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 PETfold_pre2.0(seed) and RNAalifold(seed)).

  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 PETfold_pre2.0(seed) and RNAalifold(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PETfold_pre2.0(seed) and RNAalifold(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 PETfold_pre2.0(seed) and RNAalifold(seed)).

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Performance of PETfold_pre2.0(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for PETfold_pre2.0(seed)

Total Base Pair Counts
Total TP 565
Total TN 449836
Total FP 210
Total FP CONTRA 31
Total FP INCONS 61
Total FP COMP 118
Total FN 147
Total Scores
MCC 0.826
Average MCC ± 95% Confidence Intervals 0.752 ± 0.076
Sensitivity 0.794
Positive Predictive Value 0.860
Nr of predictions 14

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2. Individual counts for PETfold_pre2.0(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.41 0.33 0.55 6 517 5 0 5 0 12
3J20_2 0.86 0.86 0.86 356 421956 129 18 38 73 56
3J3E_8 0.71 0.67 0.77 10 2729 8 1 2 5 5
3J3F_8 0.86 0.84 0.89 16 4743 13 2 0 11 3
3W1K_J 0.85 0.81 0.89 25 1650 4 2 1 1 6
3W3S_B 0.80 0.73 0.89 24 1962 6 1 2 3 9
3ZEX_C 0.70 0.59 0.85 17 5354 12 1 2 9 12
4A1C_2 0.79 0.75 0.83 15 4498 12 1 2 9 5
4AOB_A 0.85 0.79 0.92 23 1412 4 0 2 2 6
4ENB_A 0.61 0.53 0.73 8 461 5 1 2 2 7
4ENC_A 0.61 0.53 0.73 8 485 5 1 2 2 7
4FRG_B 0.87 0.83 0.91 20 1180 3 0 2 1 4
4FRN_A 0.83 0.79 0.88 22 1823 3 2 1 0 6
4JF2_A 0.76 0.63 0.94 15 1066 1 1 0 0 9

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

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

Total Base Pair Counts
Total TP 477
Total TN 449950
Total FP 129
Total FP CONTRA 13
Total FP INCONS 53
Total FP COMP 63
Total FN 235
Total Scores
MCC 0.767
Average MCC ± 95% Confidence Intervals 0.589 ± 0.163
Sensitivity 0.670
Positive Predictive Value 0.878
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
3J20_2 0.85 0.83 0.87 343 421974 104 11 40 53 69
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.61 0.37 1.00 7 4754 2 0 0 2 12
3W1K_J 0.78 0.61 1.00 19 1659 0 0 0 0 12
3W3S_B 0.71 0.52 1.00 17 1972 2 0 0 2 16
3ZEX_C 0.49 0.24 1.00 7 5367 2 0 0 2 22
4A1C_2 0.50 0.25 1.00 5 4511 2 0 0 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7
4FRN_A 0.78 0.68 0.90 19 1827 2 1 1 0 9
4JF2_A 0.61 0.42 0.91 10 1071 1 1 0 0 14

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