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 RNAalifold(20) - scored higher in this pairwise comparison

  4. Performance of IPknot - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) IPknot
MCC 0.664 > 0.601
Average MCC ± 95% Confidence Intervals 0.663 ± 0.120 > 0.609 ± 0.114
Sensitivity 0.515 > 0.485
Positive Predictive Value 0.862 > 0.751
Total TP 262 > 247
Total TN 73073 > 73048
Total FP 51 < 96
Total FP CONTRA 4 < 8
Total FP INCONS 38 < 74
Total FP COMP 9 < 14
Total FN 247 < 262
P-value 2.04409141234e-08

^top




Performance plots


  1. Comparison of performance of RNAalifold(20) and IPknot. 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 RNAalifold(20) and IPknot).

  2. Comparison of performance of RNAalifold(20) and IPknot. 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 RNAalifold(20) and IPknot).

  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 RNAalifold(20) and IPknot).

  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 RNAalifold(20) and IPknot).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and IPknot. 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 RNAalifold(20) and IPknot).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and IPknot. 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 RNAalifold(20) and IPknot).

^top





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

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

Total Base Pair Counts
Total TP 262
Total TN 73073
Total FP 51
Total FP CONTRA 4
Total FP INCONS 38
Total FP COMP 9
Total FN 247
Total Scores
MCC 0.664
Average MCC ± 95% Confidence Intervals 0.663 ± 0.120
Sensitivity 0.515
Positive Predictive Value 0.862
Nr of predictions 14

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3AMU_B 0.86 0.74 1.00 20 2983 1 0 0 1 7
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.84 0.70 1.00 21 2829 0 0 0 0 9
3J2L_3 0.69 0.47 1.00 25 7850 2 0 0 2 28
3RKF_A 0.68 0.50 0.94 17 2193 1 0 1 0 17
3SD1_A 0.70 0.60 0.83 25 3886 5 1 4 0 17
3ZEX_C 0.39 0.27 0.56 14 14171 14 1 10 3 38
3ZEX_D 0.80 0.69 0.92 34 6984 3 0 3 0 15
4A1C_3 0.74 0.57 0.97 31 7108 1 0 1 0 23
4A1C_2 0.17 0.15 0.19 5 11755 23 2 19 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.73 0.53 1.00 17 3469 0 0 0 0 15

^top



Performance of IPknot - scored lower in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 247
Total TN 73048
Total FP 96
Total FP CONTRA 8
Total FP INCONS 74
Total FP COMP 14
Total FN 262
Total Scores
MCC 0.601
Average MCC ± 95% Confidence Intervals 0.609 ± 0.114
Sensitivity 0.485
Positive Predictive Value 0.751
Nr of predictions 14

^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
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3J20_1 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J20_0 0.45 0.40 0.52 12 2827 12 0 11 1 18
3J2L_3 0.66 0.55 0.81 29 7839 9 0 7 2 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
3ZEX_C 0.41 0.21 0.79 11 14182 6 1 2 3 41
3ZEX_D 0.72 0.63 0.82 31 6983 7 0 7 0 18
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
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

^top


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