CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNAwolf - scored higher in this pairwise comparison

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

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


Overview

Metric RNAwolf Mastr(seed)
MCC 0.450 > 0.052
Average MCC ± 95% Confidence Intervals 0.455 ± 0.156 > 0.012 ± 0.026
Sensitivity 0.463 > 0.008
Positive Predictive Value 0.449 > 0.375
Total TP 182 > 3
Total TN 32306 < 32703
Total FP 270 > 5
Total FP CONTRA 62 > 0
Total FP INCONS 161 > 5
Total FP COMP 47 > 0
Total FN 211 < 390
P-value 2.78993384543e-08

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Performance plots


  1. Comparison of performance of RNAwolf and Mastr(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 RNAwolf and Mastr(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 RNAwolf and Mastr(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAwolf and Mastr(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 RNAwolf and Mastr(seed)).

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Performance of RNAwolf - scored higher in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 182
Total TN 32306
Total FP 270
Total FP CONTRA 62
Total FP INCONS 161
Total FP COMP 47
Total FN 211
Total Scores
MCC 0.450
Average MCC ± 95% Confidence Intervals 0.455 ± 0.156
Sensitivity 0.463
Positive Predictive Value 0.449
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 9 512 7 0 7 0 9
3J20_0 0.54 0.57 0.52 12 1196 12 2 9 1 9
3J3D_C 0.92 0.95 0.90 18 948 3 2 0 1 1
3J3E_8 -0.01 0.00 0.00 0 2719 37 6 17 14 15
3J3F_8 0.28 0.37 0.23 7 4730 39 9 15 15 12
3RKF_A 0.89 0.83 0.95 20 845 1 0 1 0 4
3SD1_A 0.58 0.59 0.59 17 1504 12 2 10 0 12
3W1K_J 0.81 0.77 0.86 24 1650 5 0 4 1 7
3W3S_B 0.70 0.70 0.72 23 1957 10 0 9 1 10
3ZEX_C 0.08 0.10 0.07 3 5328 43 18 25 0 26
4A1C_2 0.12 0.15 0.10 3 4487 38 12 14 12 17
4AOB_A 0.26 0.24 0.30 7 1414 17 2 14 1 22
4ENB_A 0.45 0.40 0.55 6 461 5 1 4 0 9
4ENC_A 0.34 0.33 0.38 5 483 9 0 8 1 10
4FRG_B 0.54 0.50 0.60 12 1182 8 3 5 0 12
4FRN_A -0.01 0.00 0.00 0 1828 20 1 19 0 28
4JF2_A 0.72 0.67 0.80 16 1062 4 4 0 0 8

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

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

Total Base Pair Counts
Total TP 3
Total TN 32703
Total FP 5
Total FP CONTRA 0
Total FP INCONS 5
Total FP COMP 0
Total FN 390
Total Scores
MCC 0.052
Average MCC ± 95% Confidence Intervals 0.012 ± 0.026
Sensitivity 0.008
Positive Predictive Value 0.375
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.00 0.00 0.00 0 528 0 0 0 0 18
3J20_0 0.00 0.00 0.00 0 1219 0 0 0 0 21
3J3D_C 0.00 0.00 0.00 0 968 0 0 0 0 19
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.00 0.00 0.00 0 4761 0 0 0 0 19
3RKF_A 0.00 0.00 0.00 0 866 0 0 0 0 24
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W1K_J 0.00 0.00 0.00 0 1678 0 0 0 0 31
3W3S_B 0.00 0.00 0.00 0 1989 0 0 0 0 33
3ZEX_C 0.00 0.00 0.00 0 5374 0 0 0 0 29
4A1C_2 0.00 0.00 0.00 0 4516 0 0 0 0 20
4AOB_A 0.00 0.00 0.00 0 1437 0 0 0 0 29
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
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 0 24
4FRN_A 0.00 0.00 0.00 0 1848 0 0 0 0 28
4JF2_A 0.21 0.13 0.38 3 1074 5 0 5 0 21

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