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 RNASampler(20) - scored higher in this pairwise comparison

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

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


Overview

Metric RNASampler(20) Murlet(20)
MCC 0.623 > 0.577
Average MCC ± 95% Confidence Intervals 0.649 ± 0.070 > 0.577 ± 0.062
Sensitivity 0.470 > 0.423
Positive Predictive Value 0.830 > 0.791
Total TP 614 > 552
Total TN 247720 < 247762
Total FP 189 > 182
Total FP CONTRA 23 > 16
Total FP INCONS 103 < 130
Total FP COMP 63 > 36
Total FN 691 < 753
P-value 3.56938820447e-08

^top




Performance plots


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

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

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

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

^top





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

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

Total Base Pair Counts
Total TP 614
Total TN 247720
Total FP 189
Total FP CONTRA 23
Total FP INCONS 103
Total FP COMP 63
Total FN 691
Total Scores
MCC 0.623
Average MCC ± 95% Confidence Intervals 0.649 ± 0.070
Sensitivity 0.470
Positive Predictive Value 0.830
Nr of predictions 34

^top



2. Individual counts for RNASampler(20) [ 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 13 5 3 5 7
2XKV_B 0.45 0.20 1.00 4 4556 2 0 0 2 16
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.31 0.10 1.00 4 5147 0 0 0 0 38
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.82 0.70 0.95 19 2983 3 0 1 2 8
3G4S_9 0.50 0.28 0.89 16 7363 2 1 1 0 41
3GX2_A 0.74 0.55 1.00 22 4349 1 0 0 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.47 0.32 0.69 42 70815 23 6 13 4 90
3IZF_C 0.74 0.57 0.97 31 6871 1 0 1 0 23
3J20_0 0.80 0.67 0.95 20 2829 2 0 1 1 10
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.45 0.32 0.63 17 7848 12 1 9 2 36
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_4 0.32 0.30 0.34 10 12217 26 4 15 7 23
3JYX_3 0.58 0.44 0.75 12 6312 11 0 4 7 15
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.68 0.48 0.96 22 6998 4 1 0 3 24
3O58_2 0.79 0.71 0.87 27 7229 5 2 2 1 11
3O58_3 0.43 0.34 0.55 12 12381 18 2 8 8 23
3PDR_A 0.70 0.53 0.93 38 12839 5 0 3 2 34
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.67 0.48 0.95 20 3895 1 0 1 0 22
3ZEX_C 0.27 0.19 0.38 10 14170 20 1 15 4 42
3ZEX_D 0.68 0.49 0.96 24 6996 1 0 1 0 25
4A1C_3 0.74 0.56 1.00 30 7110 0 0 0 0 24
4A1C_2 0.18 0.15 0.23 5 11759 30 0 17 13 28
4AOB_A 0.58 0.40 0.85 17 4351 4 0 3 1 25
4ENB_A 0.60 0.37 1.00 7 1268 0 0 0 0 12
4ENC_A 0.76 0.58 1.00 11 1315 0 0 0 0 8
4FRG_B 0.55 0.41 0.76 13 3469 4 0 4 0 19

^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 552
Total TN 247762
Total FP 182
Total FP CONTRA 16
Total FP INCONS 130
Total FP COMP 36
Total FN 753
Total Scores
MCC 0.577
Average MCC ± 95% Confidence Intervals 0.577 ± 0.062
Sensitivity 0.423
Positive Predictive Value 0.791
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 0.67 0.45 1.00 5 401 0 0 0 0 6
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
2XXA_G 0.41 0.17 1.00 7 5144 0 0 0 0 35
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.77 0.67 0.90 18 2983 3 0 2 1 9
3G4S_9 0.58 0.39 0.88 22 7356 3 1 2 0 35
3GX2_A 0.61 0.38 1.00 15 4356 1 0 0 1 25
3IVN_B 0.69 0.48 1.00 15 2331 0 0 0 0 16
3IZ4_A 0.40 0.24 0.65 32 70827 21 1 16 4 100
3IZF_C 0.71 0.56 0.91 30 6870 4 0 3 1 24
3J20_0 0.58 0.47 0.74 14 2831 5 0 5 0 16
3J20_1 0.68 0.57 0.81 13 2910 3 0 3 0 10
3J2L_3 0.69 0.49 0.96 26 7848 3 0 1 2 27
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3JYX_4 0.36 0.27 0.47 9 12227 15 0 10 5 24
3JYX_3 0.60 0.52 0.70 14 6308 11 0 6 5 13
3LA5_A 0.68 0.47 1.00 16 2469 0 0 0 0 18
3NPB_A 0.55 0.35 0.89 16 7003 2 1 1 0 30
3O58_2 0.89 0.82 0.97 31 7228 2 0 1 1 7
3O58_3 0.33 0.23 0.47 8 12386 12 2 7 3 27
3PDR_A 0.70 0.53 0.93 38 12839 3 0 3 0 34
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
3ZEX_C 0.34 0.23 0.50 12 14172 15 1 11 3 40
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
4A1C_3 0.59 0.41 0.85 22 7114 4 0 4 0 32
4A1C_2 0.17 0.15 0.20 5 11756 24 2 18 4 28
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14
4FRG_B 0.17 0.13 0.25 4 3470 12 1 11 0 28

^top


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