CompaRNA - on-line benchmarks of RNA structure prediction methods
Home

Methods
Datasets
Rankings
RNA 2D Atlas

Help
FAQ

Contact us
RSS feeds
Twitter

Table of contents:

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(20) Murlet(20)
MCC 0.790 > 0.693
Average MCC ± 95% Confidence Intervals 0.783 ± 0.071 > 0.690 ± 0.070
Sensitivity 0.704 > 0.594
Positive Predictive Value 0.891 > 0.815
Total TP 631 > 532
Total TN 92154 < 92209
Total FP 174 < 202
Total FP CONTRA 24 < 25
Total FP INCONS 53 < 96
Total FP COMP 97 > 81
Total FN 265 < 364
P-value 3.56938820447e-08

^top




Performance plots


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

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

  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 Murlet(20)).

  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 Murlet(20)).

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

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

^top





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

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

Total Base Pair Counts
Total TP 631
Total TN 92154
Total FP 174
Total FP CONTRA 24
Total FP INCONS 53
Total FP COMP 97
Total FN 265
Total Scores
MCC 0.790
Average MCC ± 95% Confidence Intervals 0.783 ± 0.071
Sensitivity 0.704
Positive Predictive Value 0.891
Nr of predictions 34

^top



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 0.62 0.40 1.00 4 170 0 0 0 0 6
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 1.00 1.00 1.00 19 1138 2 0 0 2 0
3G4S_9 0.96 0.92 1.00 24 2712 7 0 0 7 2
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.78 0.95 18 884 1 1 0 0 5
3IZ4_A 0.65 0.48 0.87 46 25483 15 4 3 8 49
3IZF_C 0.90 0.89 0.91 31 2606 6 0 3 3 4
3J20_0 0.95 0.95 0.95 20 1198 1 1 0 0 1
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.86 0.74 1.00 25 2995 2 0 0 2 9
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_4 0.77 0.83 0.71 10 4742 15 3 1 11 2
3JYX_3 0.76 0.73 0.79 11 2364 20 0 3 17 4
3LA5_A 0.87 0.76 1.00 19 935 0 0 0 0 6
3NPB_A 0.75 0.57 1.00 21 2257 4 0 0 4 16
3O58_2 0.97 0.94 1.00 29 2725 7 0 0 7 2
3O58_3 0.42 0.36 0.50 8 4748 9 3 5 1 14
3PDR_A 0.92 0.88 0.96 44 4794 3 1 1 1 6
3RKF_A 0.81 0.71 0.94 17 848 1 0 1 0 7
3SD1_A 0.84 0.86 0.83 25 1503 5 4 1 0 4
3ZEX_C 0.46 0.41 0.52 12 5351 16 2 9 5 17
3ZEX_D 0.91 0.89 0.94 31 2763 6 0 2 4 4
4A1C_3 0.90 0.84 0.97 31 2731 1 0 1 0 6
4A1C_2 0.22 0.25 0.19 5 4490 23 5 16 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
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

^top



Performance of Murlet(20) - scored lower 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

^top



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

^top


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