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 CentroidAlifold(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric CentroidAlifold(seed) Murlet(seed)
MCC 0.677 > 0.447
Average MCC ± 95% Confidence Intervals 0.637 ± 0.085 > 0.441 ± 0.067
Sensitivity 0.481 > 0.244
Positive Predictive Value 0.955 > 0.823
Total TP 402 > 204
Total TN 137777 < 137950
Total FP 30 < 51
Total FP CONTRA 6 = 6
Total FP INCONS 13 < 38
Total FP COMP 11 > 7
Total FN 433 < 631
P-value 5.10776592382e-08

^top




Performance plots


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

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

^top





Performance of CentroidAlifold(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 402
Total TN 137777
Total FP 30
Total FP CONTRA 6
Total FP INCONS 13
Total FP COMP 11
Total FN 433
Total Scores
MCC 0.677
Average MCC ± 95% Confidence Intervals 0.637 ± 0.085
Sensitivity 0.481
Positive Predictive Value 0.955
Nr of predictions 23

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.00 0.00 0.00 0 1540 0 0 0 0 20
3A3A_A 0.85 0.73 1.00 27 3628 0 0 0 0 10
3GX2_A 0.77 0.60 1.00 24 4347 1 0 0 1 16
3IVN_B 0.78 0.65 0.95 20 2325 1 1 0 0 11
3J3E_8 0.26 0.09 0.75 3 7499 1 0 1 0 30
3J3F_8 0.55 0.33 0.92 12 12233 1 0 1 0 24
3JYX_4 0.52 0.30 0.91 10 12235 3 0 1 2 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.71 0.54 0.93 25 6994 4 1 1 2 21
3O58_3 0.56 0.34 0.92 12 12390 1 0 1 0 23
3PDR_A 0.77 0.61 0.98 44 12835 3 0 1 2 28
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.71 0.52 0.96 22 3893 1 0 1 0 20
3W1K_J 0.78 0.66 0.93 25 4159 2 1 1 0 13
3W3S_B 0.74 0.60 0.92 24 4727 3 0 2 1 16
3ZEX_C 0.46 0.23 0.92 12 14183 1 1 0 0 40
4A1C_2 0.46 0.24 0.89 8 11772 3 0 1 2 25
4AOB_A 0.75 0.57 1.00 24 4347 1 0 0 1 18
4ENB_A 0.65 0.42 1.00 8 1267 0 0 0 0 11
4ENC_A 0.65 0.42 1.00 8 1318 0 0 0 0 11
4FRG_B 0.69 0.53 0.89 17 3467 2 1 1 0 15
4FRN_A 0.71 0.56 0.91 20 5129 2 1 1 0 16
4JF2_A 0.72 0.52 1.00 16 2834 0 0 0 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 204
Total TN 137950
Total FP 51
Total FP CONTRA 6
Total FP INCONS 38
Total FP COMP 7
Total FN 631
Total Scores
MCC 0.447
Average MCC ± 95% Confidence Intervals 0.441 ± 0.067
Sensitivity 0.244
Positive Predictive Value 0.823
Nr of predictions 23

^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
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.