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 TurboFold(20) - scored higher in this pairwise comparison

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

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


Overview

Metric TurboFold(20) RNAalifold(seed)
MCC 0.582 > 0.581
Average MCC ± 95% Confidence Intervals 0.616 ± 0.174 > 0.575 ± 0.089
Sensitivity 0.454 > 0.362
Positive Predictive Value 0.751 < 0.938
Total TP 133 > 106
Total TN 43375 < 43439
Total FP 57 > 10
Total FP CONTRA 5 > 2
Total FP INCONS 39 > 5
Total FP COMP 13 > 3
Total FN 160 < 187
P-value 0.0

^top




Performance plots


  1. Comparison of performance of TurboFold(20) and RNAalifold(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 TurboFold(20) and RNAalifold(seed)).

  2. Comparison of performance of TurboFold(20) and RNAalifold(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 TurboFold(20) and RNAalifold(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(20) and RNAalifold(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 TurboFold(20) and RNAalifold(seed)).

  4. Comparison of average Matthews Correlation Coefficients (MCCs) for TurboFold(20) and RNAalifold(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 TurboFold(20) and RNAalifold(seed)).

^top





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

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

Total Base Pair Counts
Total TP 133
Total TN 43375
Total FP 57
Total FP CONTRA 5
Total FP INCONS 39
Total FP COMP 13
Total FN 160
Total Scores
MCC 0.582
Average MCC ± 95% Confidence Intervals 0.616 ± 0.174
Sensitivity 0.454
Positive Predictive Value 0.751
Nr of predictions 9

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.92 0.90 0.95 18 971 1 0 1 0 2
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.59 0.48 0.74 20 3889 7 1 6 0 22
3ZEX_C 0.39 0.27 0.56 14 14171 14 2 9 3 38
4A1C_2 0.18 0.15 0.21 5 11757 28 0 19 9 28
4AOB_A 0.56 0.40 0.77 17 4349 6 1 4 1 25
4ENB_A 0.69 0.47 1.00 9 1266 0 0 0 0 10
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11

^top



Performance of RNAalifold(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 106
Total TN 43439
Total FP 10
Total FP CONTRA 2
Total FP INCONS 5
Total FP COMP 3
Total FN 187
Total Scores
MCC 0.581
Average MCC ± 95% Confidence Intervals 0.575 ± 0.089
Sensitivity 0.362
Positive Predictive Value 0.938
Nr of predictions 9

^top



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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.59 0.40 0.89 8 981 1 0 1 0 12
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3SD1_A 0.58 0.40 0.85 17 3896 3 1 2 0 25
3ZEX_C 0.42 0.17 1.00 9 14187 0 0 0 0 43
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
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 0.73 0.53 1.00 17 3469 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.