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

  1. Overview

  2. Performance Plots

  3. Performance of Murlet(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric Murlet(seed) RNAwolf
MCC 0.493 > 0.418
Average MCC ± 95% Confidence Intervals 0.491 ± 0.109 > 0.418 ± 0.164
Sensitivity 0.320 < 0.431
Positive Predictive Value 0.769 > 0.420
Total TP 113 < 152
Total TN 30377 > 30162
Total FP 39 < 255
Total FP CONTRA 3 < 58
Total FP INCONS 31 < 152
Total FP COMP 5 < 45
Total FN 240 > 201
P-value 2.86595104665e-08

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Performance plots


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

  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 Murlet(seed) and RNAwolf).

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

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Performance of Murlet(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 113
Total TN 30377
Total FP 39
Total FP CONTRA 3
Total FP INCONS 31
Total FP COMP 5
Total FN 240
Total Scores
MCC 0.493
Average MCC ± 95% Confidence Intervals 0.491 ± 0.109
Sensitivity 0.320
Positive Predictive Value 0.769
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
3J3E_8 0.36 0.13 1.00 2 2740 2 0 0 2 13
3J3F_8 0.61 0.37 1.00 7 4754 0 0 0 0 12
3RKF_A 0.62 0.50 0.80 12 851 3 1 2 0 12
3SD1_A 0.56 0.38 0.85 11 1520 2 0 2 0 18
3W1K_J 0.47 0.26 0.89 8 1669 1 0 1 0 23
3W3S_B 0.45 0.27 0.75 9 1977 3 0 3 0 24
3ZEX_C 0.49 0.24 1.00 7 5367 0 0 0 0 22
4A1C_2 0.59 0.35 1.00 7 4509 0 0 0 0 13
4AOB_A 0.69 0.48 1.00 14 1423 1 0 0 1 15
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.17 0.13 0.25 3 1190 9 0 9 0 21
4FRN_A 0.66 0.50 0.88 14 1832 2 1 1 0 14
4JF2_A 0.47 0.29 0.78 7 1073 4 1 1 2 17

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Performance of RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 152
Total TN 30162
Total FP 255
Total FP CONTRA 58
Total FP INCONS 152
Total FP COMP 45
Total FN 201
Total Scores
MCC 0.418
Average MCC ± 95% Confidence Intervals 0.418 ± 0.164
Sensitivity 0.431
Positive Predictive Value 0.420
Nr of predictions 15

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