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

  1. Overview

  2. Performance Plots

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

  4. Performance of RNAalifold(20) - scored lower in this pairwise comparison

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


Overview

Metric PPfold(20) RNAalifold(20)
MCC 0.691 > 0.658
Average MCC ± 95% Confidence Intervals 0.679 ± 0.109 > 0.654 ± 0.113
Sensitivity 0.544 > 0.514
Positive Predictive Value 0.881 > 0.847
Total TP 288 > 272
Total TN 74040 < 74046
Total FP 49 < 58
Total FP CONTRA 0 < 4
Total FP INCONS 39 < 45
Total FP COMP 10 > 9
Total FN 241 < 257
P-value 2.28439804626e-08

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Performance plots


  1. Comparison of performance of PPfold(20) and RNAalifold(20). 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 PPfold(20) and RNAalifold(20)).

  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 PPfold(20) and RNAalifold(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PPfold(20) and RNAalifold(20). 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 PPfold(20) and RNAalifold(20)).

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

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

Total Base Pair Counts
Total TP 288
Total TN 74040
Total FP 49
Total FP CONTRA 0
Total FP INCONS 39
Total FP COMP 10
Total FN 241
Total Scores
MCC 0.691
Average MCC ± 95% Confidence Intervals 0.679 ± 0.109
Sensitivity 0.544
Positive Predictive Value 0.881
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.63 0.45 0.90 9 980 1 0 1 0 11
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.84 0.70 1.00 21 2829 0 0 0 0 9
3J2L_3 0.78 0.62 0.97 33 7841 3 0 1 2 20
3RKF_A 0.73 0.56 0.95 19 2191 1 0 1 0 15
3SD1_A 0.68 0.52 0.88 22 3891 3 0 3 0 20
3ZEX_C 0.33 0.21 0.52 11 14175 12 0 10 2 41
3ZEX_D 0.81 0.71 0.92 35 6983 3 0 3 0 14
4A1C_3 0.77 0.63 0.94 34 7104 2 0 2 0 20
4A1C_2 0.21 0.15 0.29 5 11764 16 0 12 4 28
4AOB_A 0.74 0.60 0.93 25 4344 3 0 2 1 17
4ENB_A 0.56 0.37 0.88 7 1267 1 0 1 0 12
4ENC_A 0.58 0.42 0.80 8 1316 2 0 2 0 11
4FRG_B 0.73 0.56 0.95 18 3467 1 0 1 0 14

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Performance of RNAalifold(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 272
Total TN 74046
Total FP 58
Total FP CONTRA 4
Total FP INCONS 45
Total FP COMP 9
Total FN 257
Total Scores
MCC 0.658
Average MCC ± 95% Confidence Intervals 0.654 ± 0.113
Sensitivity 0.514
Positive Predictive Value 0.847
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.84 0.70 1.00 21 2829 0 0 0 0 9
3J2L_3 0.69 0.47 1.00 25 7850 2 0 0 2 28
3RKF_A 0.68 0.50 0.94 17 2193 1 0 1 0 17
3SD1_A 0.70 0.60 0.83 25 3886 5 1 4 0 17
3ZEX_C 0.39 0.27 0.56 14 14171 14 1 10 3 38
3ZEX_D 0.80 0.69 0.92 34 6984 3 0 3 0 15
4A1C_3 0.74 0.57 0.97 31 7108 1 0 1 0 23
4A1C_2 0.17 0.15 0.19 5 11755 23 2 19 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.73 0.53 1.00 17 3469 0 0 0 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.