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

  1. Overview

  2. Performance Plots

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

  4. Performance of Pknots - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) Pknots
MCC 0.668 > 0.514
Average MCC ± 95% Confidence Intervals 0.656 ± 0.064 > 0.573 ± 0.098
Sensitivity 0.519 > 0.467
Positive Predictive Value 0.863 > 0.572
Total TP 609 > 548
Total TN 176878 > 176626
Total FP 135 < 466
Total FP CONTRA 18 < 56
Total FP INCONS 79 < 354
Total FP COMP 38 < 56
Total FN 564 < 625
P-value 3.56938820447e-08

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Performance plots


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

  2. Comparison of performance of RNAalifold(20) and Pknots. 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 RNAalifold(20) and Pknots).

  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 RNAalifold(20) and Pknots).

  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 RNAalifold(20) and Pknots).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and Pknots. 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 RNAalifold(20) and Pknots).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and Pknots. 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 RNAalifold(20) and Pknots).

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

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

Total Base Pair Counts
Total TP 609
Total TN 176878
Total FP 135
Total FP CONTRA 18
Total FP INCONS 79
Total FP COMP 38
Total FN 564
Total Scores
MCC 0.668
Average MCC ± 95% Confidence Intervals 0.656 ± 0.064
Sensitivity 0.519
Positive Predictive Value 0.863
Nr of predictions 33

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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
2KDQ_B 0.60 0.36 1.00 4 402 0 0 0 0 7
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.57 0.59 0.56 10 2832 11 5 3 3 7
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.41 0.17 1.00 7 5144 0 0 0 0 35
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
3G4S_9 0.69 0.49 0.97 28 7352 3 1 0 2 29
3GX2_A 0.77 0.60 1.00 24 4347 1 0 0 1 16
3IVN_B 0.74 0.58 0.95 18 2327 1 1 0 0 13
3IZF_C 0.71 0.59 0.86 32 6866 5 1 4 0 22
3J20_0 0.84 0.70 1.00 21 2829 0 0 0 0 9
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.69 0.47 1.00 25 7850 2 0 0 2 28
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_4 0.39 0.30 0.50 10 12226 15 0 10 5 23
3JYX_3 0.60 0.52 0.70 14 6308 17 0 6 11 13
3LA5_A 0.75 0.56 1.00 19 2466 0 0 0 0 15
3NPB_A 0.68 0.48 0.96 22 6998 3 1 0 2 24
3O58_2 0.79 0.76 0.83 29 7225 7 3 3 1 9
3O58_3 0.37 0.26 0.53 9 12386 8 2 6 0 26
3PDR_A 0.76 0.61 0.96 44 12834 3 0 2 1 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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Performance of Pknots - scored lower in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 548
Total TN 176626
Total FP 466
Total FP CONTRA 56
Total FP INCONS 354
Total FP COMP 56
Total FN 625
Total Scores
MCC 0.514
Average MCC ± 95% Confidence Intervals 0.573 ± 0.098
Sensitivity 0.467
Positive Predictive Value 0.572
Nr of predictions 33

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2. Individual counts for Pknots [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2XKV_B 0.23 0.25 0.22 5 4537 31 1 17 13 15
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.32 0.31 0.34 13 5113 25 1 24 0 29
3A2K_C 0.45 0.43 0.48 12 2901 13 2 11 0 16
3AMU_B 0.86 0.74 1.00 20 2983 2 0 0 2 7
3G4S_9 0.25 0.21 0.31 12 7342 27 0 27 0 45
3GX2_A 0.47 0.40 0.55 16 4342 14 1 12 1 24
3IVN_B 0.78 0.65 0.95 20 2325 1 0 1 0 11
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J20_0 0.84 0.70 1.00 21 2829 1 0 0 1 9
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.62 0.51 0.75 27 7839 12 0 9 3 26
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_4 0.18 0.21 0.16 7 12203 41 13 23 5 26
3JYX_3 0.34 0.37 0.31 10 6296 24 9 13 2 17
3LA5_A 0.80 0.65 1.00 22 2463 0 0 0 0 12
3NPB_A 0.76 0.67 0.86 31 6985 8 1 4 3 15
3O58_2 0.83 0.74 0.93 28 7230 3 0 2 1 10
3O58_3 0.27 0.31 0.24 11 12357 38 11 24 3 24
3PDR_A 0.54 0.44 0.65 32 12831 19 0 17 2 40
3RKF_A 0.77 0.62 0.95 21 2189 1 0 1 0 13
3SD1_A 0.65 0.52 0.81 22 3889 5 0 5 0 20
3ZEX_C 0.07 0.08 0.07 4 14141 54 4 47 3 48
3ZEX_D 0.27 0.24 0.30 12 6981 28 0 28 0 37
4A1C_3 0.25 0.22 0.29 12 7099 29 1 28 0 42
4A1C_2 0.24 0.24 0.25 8 11749 36 3 21 12 25
4AOB_A 0.17 0.14 0.21 6 4343 23 1 21 1 36
4ENB_A 0.83 0.79 0.88 15 1258 2 1 1 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.48 0.38 0.63 12 3467 7 0 7 0 20

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