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 Carnac(20) - scored higher in this pairwise comparison

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

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


Overview

Metric Carnac(20) NanoFolder
MCC 0.576 > 0.269
Average MCC ± 95% Confidence Intervals 0.516 ± 0.152 > 0.291 ± 0.118
Sensitivity 0.383 > 0.280
Positive Predictive Value 0.872 > 0.267
Total TP 212 > 155
Total TN 89145 > 88807
Total FP 37 < 463
Total FP CONTRA 1 < 52
Total FP INCONS 30 < 374
Total FP COMP 6 < 37
Total FN 342 < 399
P-value 1.91441904741e-08

^top




Performance plots


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

  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 Carnac(20) and NanoFolder).

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

^top





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

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

Total Base Pair Counts
Total TP 212
Total TN 89145
Total FP 37
Total FP CONTRA 1
Total FP INCONS 30
Total FP COMP 6
Total FN 342
Total Scores
MCC 0.576
Average MCC ± 95% Confidence Intervals 0.516 ± 0.152
Sensitivity 0.383
Positive Predictive Value 0.872
Nr of predictions 14

^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
3J20_1 0.86 0.74 1.00 17 2909 0 0 0 0 6
3J2L_3 0.46 0.34 0.64 18 7847 11 0 10 1 35
3J3D_C 0.82 0.71 0.95 20 2754 1 0 1 0 8
3J3E_7 0.65 0.44 0.96 24 7115 1 0 1 0 30
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.50 0.25 1.00 9 12237 0 0 0 0 27
3J3F_7 0.66 0.44 1.00 22 7238 0 0 0 0 28
3J3V_B 0.58 0.35 0.95 20 7000 1 0 1 0 37
3ZEX_D 0.73 0.53 1.00 26 6995 0 0 0 0 23
3ZND_W 0.47 0.39 0.56 9 2987 10 0 7 3 14
4A1C_3 0.67 0.52 0.88 28 7108 4 0 4 0 26
4A1C_2 0.33 0.15 0.71 5 11774 3 0 2 1 28
4AOB_A 0.49 0.33 0.74 14 4352 6 1 4 1 28
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19

^top



Performance of NanoFolder - scored lower in this pairwise comparison

1. Total counts & total scores for NanoFolder

Total Base Pair Counts
Total TP 155
Total TN 88807
Total FP 463
Total FP CONTRA 52
Total FP INCONS 374
Total FP COMP 37
Total FN 399
Total Scores
MCC 0.269
Average MCC ± 95% Confidence Intervals 0.291 ± 0.118
Sensitivity 0.280
Positive Predictive Value 0.267
Nr of predictions 14

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_1 0.41 0.48 0.37 11 2896 19 5 14 0 12
3J2L_3 0.11 0.11 0.12 6 7824 46 3 42 1 47
3J3D_C 0.70 0.71 0.69 20 2746 9 2 7 0 8
3J3E_7 0.35 0.33 0.37 18 7091 31 1 30 0 36
3J3E_8 0.00 0.00 0.00 0 7466 47 6 31 10 33
3J3F_8 0.27 0.33 0.22 12 12192 54 9 33 12 24
3J3F_7 0.17 0.18 0.17 9 7208 43 3 40 0 41
3J3V_B 0.24 0.23 0.27 13 6973 35 1 34 0 44
3ZEX_D 0.26 0.27 0.27 13 6972 36 1 35 0 36
3ZND_W 0.18 0.22 0.17 5 2973 29 6 19 4 18
4A1C_3 0.48 0.46 0.51 25 7091 24 2 22 0 29
4A1C_2 0.00 0.00 0.00 0 11728 61 12 41 8 33
4AOB_A 0.33 0.29 0.39 12 4340 20 1 18 1 30
4ENC_A 0.57 0.58 0.58 11 1307 9 0 8 1 8

^top


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