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 RNAsubopt - scored higher in this pairwise comparison

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

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


Overview

Metric RNAsubopt Murlet(seed)
MCC 0.527 > 0.448
Average MCC ± 95% Confidence Intervals 0.532 ± 0.118 > 0.445 ± 0.064
Sensitivity 0.468 > 0.245
Positive Predictive Value 0.598 < 0.825
Total TP 396 > 207
Total TN 137942 < 138353
Total FP 333 > 51
Total FP CONTRA 41 > 6
Total FP INCONS 225 > 38
Total FP COMP 67 > 7
Total FN 450 < 639
P-value 5.23657817852e-08

^top




Performance plots


  1. Comparison of performance of RNAsubopt and Murlet(seed). 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 RNAsubopt and Murlet(seed)).

  2. 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 RNAsubopt and Murlet(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAsubopt and Murlet(seed). 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 RNAsubopt and Murlet(seed)).

^top





Performance of RNAsubopt - scored higher in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 396
Total TN 137942
Total FP 333
Total FP CONTRA 41
Total FP INCONS 225
Total FP COMP 67
Total FN 450
Total Scores
MCC 0.527
Average MCC ± 95% Confidence Intervals 0.532 ± 0.118
Sensitivity 0.468
Positive Predictive Value 0.598
Nr of predictions 24

^top



2. Individual counts for RNAsubopt [ 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
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3GX2_A 0.44 0.38 0.54 15 4343 14 1 12 1 25
3IVN_B 0.76 0.58 1.00 18 2328 0 0 0 0 13
3J3E_8 0.16 0.15 0.18 5 7475 32 2 21 9 28
3J3F_8 0.33 0.33 0.32 12 12209 39 4 21 14 24
3JYX_4 0.19 0.21 0.17 7 12204 38 11 24 3 26
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.75 0.65 0.86 30 6986 7 1 4 2 16
3O58_3 0.34 0.34 0.34 12 12368 34 2 21 11 23
3PDR_A 0.75 0.63 0.90 45 12830 7 1 4 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.87 0.78 0.97 31 4721 2 0 1 1 9
3ZEX_C 0.24 0.21 0.28 11 14157 42 1 27 14 41
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4AOB_A 0.52 0.43 0.64 18 4343 11 2 8 1 24
4ENB_A 0.70 0.58 0.85 11 1262 2 1 1 0 8
4ENC_A 0.32 0.26 0.42 5 1314 7 0 7 0 14
4FRG_B 0.32 0.28 0.38 9 3462 15 0 15 0 23
4FRN_A 0.51 0.44 0.59 16 5124 11 3 8 0 20
4JF2_A 0.61 0.52 0.73 16 2828 6 3 3 0 15

^top



Performance of Murlet(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 207
Total TN 138353
Total FP 51
Total FP CONTRA 6
Total FP INCONS 38
Total FP COMP 7
Total FN 639
Total Scores
MCC 0.448
Average MCC ± 95% Confidence Intervals 0.445 ± 0.064
Sensitivity 0.245
Positive Predictive Value 0.825
Nr of predictions 24

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
3A3A_A 0.57 0.32 1.00 12 3643 0 0 0 0 25
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3J3E_8 0.25 0.06 1.00 2 7501 2 0 0 2 31
3J3F_8 0.44 0.19 1.00 7 12239 0 0 0 0 29
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3NPB_A 0.49 0.28 0.87 13 7006 2 1 1 0 33
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
3W1K_J 0.43 0.21 0.89 8 4177 1 0 1 0 30
3W3S_B 0.41 0.23 0.75 9 4741 3 0 3 0 31
3ZEX_C 0.37 0.13 1.00 7 14189 0 0 0 0 45
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.15 0.09 0.25 3 3474 9 0 9 0 29
4FRN_A 0.58 0.39 0.88 14 5135 2 1 1 0 22
4JF2_A 0.51 0.29 0.90 9 2840 2 0 1 1 22

^top


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