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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Murlet(20) HotKnots
MCC 0.693 > 0.668
Average MCC ± 95% Confidence Intervals 0.690 ± 0.070 < 0.703 ± 0.100
Sensitivity 0.594 < 0.692
Positive Predictive Value 0.815 > 0.651
Total TP 532 < 620
Total TN 92209 > 91910
Total FP 202 < 476
Total FP CONTRA 25 < 105
Total FP INCONS 96 < 227
Total FP COMP 81 < 144
Total FN 364 > 276
P-value 4.59499054376e-07

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Performance plots


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

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

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

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

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

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

Total Base Pair Counts
Total TP 532
Total TN 92209
Total FP 202
Total FP CONTRA 25
Total FP INCONS 96
Total FP COMP 81
Total FN 364
Total Scores
MCC 0.693
Average MCC ± 95% Confidence Intervals 0.690 ± 0.070
Sensitivity 0.594
Positive Predictive Value 0.815
Nr of predictions 34

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.70 0.50 1.00 5 169 0 0 0 0 5
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.63 0.67 0.60 6 1142 13 1 3 9 3
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.88 0.86 0.90 18 1109 3 0 2 1 3
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.89 0.89 0.89 17 1138 4 0 2 2 2
3G4S_9 0.85 0.77 0.95 20 2715 5 0 1 4 6
3GX2_A 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3IZF_C 0.88 0.83 0.94 29 2609 5 0 2 3 6
3J20_0 0.65 0.62 0.68 13 1200 6 1 5 0 8
3J20_1 0.69 0.60 0.80 12 1097 4 0 3 1 8
3J2L_3 0.84 0.74 0.96 25 2994 4 0 1 3 9
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_2 1.00 1.00 1.00 31 2723 2 0 0 2 0
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
3ZEX_C 0.42 0.38 0.48 11 5351 16 2 10 4 18
3ZEX_D 0.90 0.86 0.94 30 2764 5 0 2 3 5
4A1C_3 0.72 0.59 0.88 22 2738 4 0 3 1 15
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10
4FRG_B 0.19 0.17 0.25 4 1186 12 1 11 0 20

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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 620
Total TN 91910
Total FP 476
Total FP CONTRA 105
Total FP INCONS 227
Total FP COMP 144
Total FN 276
Total Scores
MCC 0.668
Average MCC ± 95% Confidence Intervals 0.703 ± 0.100
Sensitivity 0.692
Positive Predictive Value 0.651
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 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.64 0.73 0.57 8 1821 25 0 6 19 3
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 1 23
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3G4S_9 0.78 0.77 0.80 20 2711 14 2 3 9 6
3GX2_A 0.81 0.79 0.85 22 1423 5 2 2 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.56 0.60 0.52 57 25426 57 26 27 4 38
3IZF_C 0.89 0.91 0.86 32 2603 9 0 5 4 3
3J20_0 0.54 0.57 0.52 12 1196 12 3 8 1 9
3J20_1 0.75 0.75 0.75 15 1092 8 0 5 3 5
3J2L_3 0.80 0.82 0.78 28 2984 12 1 7 4 6
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3JYX_4 0.61 0.83 0.45 10 4734 31 10 2 19 2
3JYX_3 0.77 0.80 0.75 12 2362 27 0 4 23 3
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.85 0.78 0.94 29 2247 6 0 2 4 8
3O58_2 0.87 0.87 0.87 27 2723 12 0 4 8 4
3O58_3 0.26 0.36 0.19 8 4722 35 16 18 1 14
3PDR_A 0.81 0.80 0.82 40 4791 11 3 6 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.77 0.76 0.79 22 1505 6 4 2 0 7
3ZEX_C -0.01 0.00 0.00 0 5328 46 11 35 0 29
3ZEX_D 0.90 0.86 0.94 30 2764 6 0 2 4 5
4A1C_3 0.88 0.86 0.89 32 2727 7 0 4 3 5
4A1C_2 0.19 0.25 0.15 5 4483 42 12 16 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 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.