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 HotKnots - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) HotKnots
MCC 0.656 > 0.556
Average MCC ± 95% Confidence Intervals 0.652 ± 0.062 > 0.588 ± 0.088
Sensitivity 0.502 > 0.495
Positive Predictive Value 0.860 > 0.628
Total TP 655 > 646
Total TN 247698 > 247432
Total FP 150 < 450
Total FP CONTRA 22 < 58
Total FP INCONS 85 < 324
Total FP COMP 43 < 68
Total FN 650 < 659
P-value 3.56938820447e-08

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Performance plots


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

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

  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 HotKnots).

  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 HotKnots).

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

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

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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 655
Total TN 247698
Total FP 150
Total FP CONTRA 22
Total FP INCONS 85
Total FP COMP 43
Total FN 650
Total Scores
MCC 0.656
Average MCC ± 95% Confidence Intervals 0.652 ± 0.062
Sensitivity 0.502
Positive Predictive Value 0.860
Nr of predictions 34

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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
3IZ4_A 0.53 0.35 0.82 46 70820 15 4 6 5 86
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 HotKnots - scored lower in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 646
Total TN 247432
Total FP 450
Total FP CONTRA 58
Total FP INCONS 324
Total FP COMP 68
Total FN 659
Total Scores
MCC 0.556
Average MCC ± 95% Confidence Intervals 0.588 ± 0.088
Sensitivity 0.495
Positive Predictive Value 0.628
Nr of predictions 34

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2. Individual counts for HotKnots [ 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 0.97 0.95 1.00 19 971 0 0 0 0 1
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XKV_B 0.51 0.50 0.53 10 4541 23 0 9 14 10
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.34 0.31 0.39 13 5118 20 1 19 0 29
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3G4S_9 0.50 0.39 0.65 22 7347 12 1 11 0 35
3GX2_A 0.68 0.55 0.85 22 4345 5 0 4 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.51 0.47 0.55 62 70763 52 10 41 1 70
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J20_0 0.45 0.40 0.52 12 2827 12 0 11 1 18
3J20_1 0.73 0.70 0.76 16 2905 7 0 5 2 7
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3JYV_7 -0.01 0.00 0.00 0 2828 22 1 21 0 32
3JYX_4 0.32 0.30 0.33 10 12216 31 5 15 11 23
3JYX_3 0.62 0.63 0.61 17 6300 22 1 10 11 10
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.78 0.65 0.94 30 6989 5 0 2 3 16
3O58_2 0.71 0.71 0.71 27 7222 12 4 7 1 11
3O58_3 0.23 0.26 0.21 9 12360 34 10 24 0 26
3PDR_A 0.67 0.56 0.82 40 12831 11 0 9 2 32
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
3ZEX_C 0.00 0.00 0.00 0 14150 46 6 40 0 52
3ZEX_D 0.78 0.67 0.92 33 6985 3 0 3 0 16
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.14 5 11745 42 6 25 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.32 0.28 0.38 9 3462 15 0 15 0 23

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