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 PknotsRG - scored higher in this pairwise comparison

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

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


Overview

Metric PknotsRG Carnac(20)
MCC 0.664 > 0.662
Average MCC ± 95% Confidence Intervals 0.684 ± 0.172 > 0.610 ± 0.164
Sensitivity 0.685 > 0.469
Positive Predictive Value 0.649 < 0.938
Total TP 311 > 213
Total TN 51784 < 52036
Total FP 206 > 24
Total FP CONTRA 62 > 6
Total FP INCONS 106 > 8
Total FP COMP 38 > 10
Total FN 143 < 241
P-value 0.0376522112878

^top




Performance plots


  1. Comparison of performance of PknotsRG and Carnac(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 PknotsRG and Carnac(20)).

  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 PknotsRG and Carnac(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for PknotsRG and Carnac(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 PknotsRG and Carnac(20)).

^top





Performance of PknotsRG - scored higher in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 311
Total TN 51784
Total FP 206
Total FP CONTRA 62
Total FP INCONS 106
Total FP COMP 38
Total FN 143
Total Scores
MCC 0.664
Average MCC ± 95% Confidence Intervals 0.684 ± 0.172
Sensitivity 0.685
Positive Predictive Value 0.649
Nr of predictions 15

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3GX2_A 0.80 0.79 0.81 22 1422 6 2 3 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.56 0.60 0.52 57 25426 57 25 28 4 38
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.93 0.86 1.00 32 2246 4 0 0 4 5
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
4A1C_2 0.18 0.25 0.14 5 4480 43 11 20 12 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0

^top



Performance of Carnac(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 213
Total TN 52036
Total FP 24
Total FP CONTRA 6
Total FP INCONS 8
Total FP COMP 10
Total FN 241
Total Scores
MCC 0.662
Average MCC ± 95% Confidence Intervals 0.610 ± 0.164
Sensitivity 0.469
Positive Predictive Value 0.938
Nr of predictions 15

^top



2. Individual counts for Carnac(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3A2K_C 0.88 0.77 1.00 17 1091 0 0 0 0 5
3GX2_A 0.68 0.46 1.00 13 1436 0 0 0 0 15
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.31 0.88 29 25503 4 3 1 0 66
3JYV_7 0.81 0.70 0.93 14 1096 3 0 1 2 6
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.46 0.22 1.00 8 2270 3 0 0 3 29
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.75 0.58 0.97 29 4810 3 1 0 2 21
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
4A1C_2 0.42 0.25 0.71 5 4509 3 0 2 1 15
4AOB_A 0.59 0.48 0.74 14 1418 6 2 3 1 15
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15

^top


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