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 0.418 > 0.348
Average MCC ± 95% Confidence Intervals 0.418 ± 0.094 > 0.372 ± 0.148
Sensitivity 0.227 < 0.331
Positive Predictive Value 0.777 > 0.373
Total TP 115 < 168
Total TN 80643 > 80341
Total FP 37 < 315
Total FP CONTRA 2 < 38
Total FP INCONS 31 < 244
Total FP COMP 4 < 33
Total FN 392 > 339
P-value 2.08252958266e-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 115
Total TN 80643
Total FP 37
Total FP CONTRA 2
Total FP INCONS 31
Total FP COMP 4
Total FN 392
Total Scores
MCC 0.418
Average MCC ± 95% Confidence Intervals 0.418 ± 0.094
Sensitivity 0.227
Positive Predictive Value 0.777
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 -0.01 0.00 0.00 0 1528 12 0 12 0 20
3J3E_8 0.25 0.06 1.00 2 7501 2 0 0 2 31
3J3F_8 0.44 0.19 1.00 7 12239 0 0 0 0 29
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
3W1K_J 0.43 0.21 0.89 8 4177 1 0 1 0 30
3W3S_B 0.41 0.23 0.75 9 4741 3 0 3 0 31
3ZEX_C 0.37 0.13 1.00 7 14189 0 0 0 0 45
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
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 0.15 0.09 0.25 3 3474 9 0 9 0 29
4FRN_A 0.58 0.39 0.88 14 5135 2 1 1 0 22
4JF2_A 0.51 0.29 0.90 9 2840 2 0 1 1 22

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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 168
Total TN 80341
Total FP 315
Total FP CONTRA 38
Total FP INCONS 244
Total FP COMP 33
Total FN 339
Total Scores
MCC 0.348
Average MCC ± 95% Confidence Intervals 0.372 ± 0.148
Sensitivity 0.331
Positive Predictive Value 0.373
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 10 1522 8 0 8 0 10
3J3E_8 0.00 0.00 0.00 0 7470 42 4 29 9 33
3J3F_8 0.23 0.25 0.21 9 12204 45 5 28 12 27
3RKF_A 0.72 0.62 0.84 21 2186 4 0 4 0 13
3SD1_A 0.46 0.43 0.50 18 3880 18 0 18 0 24
3W1K_J 0.71 0.66 0.78 25 4154 7 0 7 0 13
3W3S_B 0.68 0.63 0.74 25 4719 10 0 9 1 15
3ZEX_C 0.05 0.06 0.06 3 14144 49 12 37 0 49
4A1C_2 0.08 0.09 0.08 3 11741 46 10 27 9 30
4AOB_A 0.23 0.19 0.30 8 4344 20 1 18 1 34
4ENB_A 0.35 0.32 0.40 6 1260 9 1 8 0 13
4ENC_A 0.34 0.32 0.38 6 1310 10 1 9 0 13
4FRG_B 0.56 0.50 0.64 16 3461 10 1 8 1 16
4FRN_A -0.01 0.00 0.00 0 5119 32 0 32 0 36
4JF2_A 0.67 0.58 0.78 18 2827 5 3 2 0 13

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