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 Mastr(seed) - scored lower in this pairwise comparison

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


Overview

Metric Murlet(seed) Mastr(seed)
MCC 0.475 > 0.000
Average MCC ± 95% Confidence Intervals 0.471 ± 0.083 > 0.000 ± 0.000
Sensitivity 0.270 > 0.000
Positive Predictive Value 0.841 > 0.000
Total TP 148 > 0
Total TN 84057 < 84233
Total FP 32 > 0
Total FP CONTRA 5 > 0
Total FP INCONS 23 > 0
Total FP COMP 4 > 0
Total FN 400 < 548
P-value 2.50323628132e-08

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Performance plots


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

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

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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 148
Total TN 84057
Total FP 32
Total FP CONTRA 5
Total FP INCONS 23
Total FP COMP 4
Total FN 400
Total Scores
MCC 0.475
Average MCC ± 95% Confidence Intervals 0.471 ± 0.083
Sensitivity 0.270
Positive Predictive Value 0.841
Nr of predictions 16

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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
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
3A3A_A 0.57 0.32 1.00 12 3643 0 0 0 0 25
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3NPB_A 0.49 0.28 0.87 13 7006 2 1 1 0 33
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
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
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

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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 0
Total TN 84233
Total FP 0
Total FP CONTRA 0
Total FP INCONS 0
Total FP COMP 0
Total FN 548
Total Scores
MCC 0.000
Average MCC ± 95% Confidence Intervals 0.000 ± 0.000
Sensitivity 0.000
Positive Predictive Value 0.000
Nr of predictions 16

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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
2KDQ_B 0.00 0.00 0.00 0 406 0 0 0 0 11
2LC8_A 0.00 0.00 0.00 0 1540 0 0 0 0 20
3A3A_A 0.00 0.00 0.00 0 3655 0 0 0 0 37
3GX2_A 0.00 0.00 0.00 0 4371 0 0 0 0 40
3IVN_B 0.00 0.00 0.00 0 2346 0 0 0 0 31
3JYX_4 0.00 0.00 0.00 0 12246 0 0 0 0 33
3LA5_A 0.00 0.00 0.00 0 2485 0 0 0 0 34
3NPB_A 0.00 0.00 0.00 0 7021 0 0 0 0 46
3O58_3 0.00 0.00 0.00 0 12403 0 0 0 0 35
3PDR_A 0.00 0.00 0.00 0 12880 0 0 0 0 72
3RKF_A 0.00 0.00 0.00 0 2211 0 0 0 0 34
3SD1_A 0.00 0.00 0.00 0 3916 0 0 0 0 42
4A1C_2 0.00 0.00 0.00 0 11781 0 0 0 0 33
4AOB_A 0.00 0.00 0.00 0 4371 0 0 0 0 42
4ENB_A 0.00 0.00 0.00 0 1275 0 0 0 0 19
4ENC_A 0.00 0.00 0.00 0 1326 0 0 0 0 19

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