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 IPknot - scored higher in this pairwise comparison

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

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


Overview

Metric IPknot Murlet(seed)
MCC 0.555 > 0.418
Average MCC ± 95% Confidence Intervals 0.556 ± 0.146 > 0.418 ± 0.094
Sensitivity 0.450 > 0.227
Positive Predictive Value 0.691 < 0.777
Total TP 228 > 115
Total TN 80461 < 80643
Total FP 131 > 37
Total FP CONTRA 17 > 2
Total FP INCONS 85 > 31
Total FP COMP 29 > 4
Total FN 279 < 392
P-value 1.89649746203e-08

^top




Performance plots


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

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

^top





Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 228
Total TN 80461
Total FP 131
Total FP CONTRA 17
Total FP INCONS 85
Total FP COMP 29
Total FN 279
Total Scores
MCC 0.555
Average MCC ± 95% Confidence Intervals 0.556 ± 0.146
Sensitivity 0.450
Positive Predictive Value 0.691
Nr of predictions 15

^top



2. Individual counts for IPknot [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.40 0.30 0.55 6 1529 5 1 4 0 14
3J3E_8 0.00 0.00 0.00 0 7484 25 2 17 6 33
3J3F_8 0.33 0.33 0.33 12 12210 37 4 20 13 24
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.48 0.80 20 3891 5 0 5 0 22
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.85 0.75 0.97 30 4722 2 0 1 1 10
3ZEX_C 0.41 0.21 0.79 11 14182 6 1 2 3 41
4A1C_2 0.17 0.15 0.19 5 11755 26 4 17 5 28
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11
4FRG_B 0.69 0.56 0.86 18 3465 3 1 2 0 14
4FRN_A 0.69 0.56 0.87 20 5128 3 1 2 0 16
4JF2_A 0.84 0.74 0.96 23 2826 1 1 0 0 8

^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 115
Total TN 80643
Total FP 37
Total FP CONTRA 2
Total FP INCONS 31
Total FP COMP 4
Total FN 392
Total Scores
MCC 0.418
Average MCC ± 95% Confidence Intervals 0.418 ± 0.094
Sensitivity 0.227
Positive Predictive Value 0.777
Nr of predictions 15

^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
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
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.