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 Vsfold5 - scored lower in this pairwise comparison

  5. Compile and download dataset for Murlet(seed) & Vsfold5 [.zip] - may take several seconds...


Overview

Metric Murlet(seed) Vsfold5
MCC 0.475 > 0.469
Average MCC ± 95% Confidence Intervals 0.471 ± 0.083 < 0.493 ± 0.174
Sensitivity 0.270 < 0.394
Positive Predictive Value 0.841 > 0.565
Total TP 148 < 216
Total TN 84057 > 83851
Total FP 32 < 202
Total FP CONTRA 5 < 16
Total FP INCONS 23 < 150
Total FP COMP 4 < 36
Total FN 400 > 332
P-value 0.00964022676679

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Performance plots


  1. Comparison of performance of Murlet(seed) and Vsfold5. 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 Vsfold5).

  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 Vsfold5).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(seed) and Vsfold5. 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 Vsfold5).

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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 Vsfold5 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold5

Total Base Pair Counts
Total TP 216
Total TN 83851
Total FP 202
Total FP CONTRA 16
Total FP INCONS 150
Total FP COMP 36
Total FN 332
Total Scores
MCC 0.469
Average MCC ± 95% Confidence Intervals 0.493 ± 0.174
Sensitivity 0.394
Positive Predictive Value 0.565
Nr of predictions 16

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2. Individual counts for Vsfold5 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.90 0.82 1.00 9 397 0 0 0 0 2
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3A3A_A 0.85 0.73 1.00 27 3628 0 0 0 0 10
3GX2_A 0.51 0.40 0.67 16 4347 9 0 8 1 24
3IVN_B 0.76 0.58 1.00 18 2328 0 0 0 0 13
3JYX_4 0.31 0.30 0.31 10 12214 32 3 19 10 23
3LA5_A -0.01 0.00 0.00 0 2469 16 0 16 0 34
3NPB_A 0.57 0.46 0.72 21 6992 9 1 7 1 25
3O58_3 0.39 0.37 0.41 13 12371 28 7 12 9 22
3PDR_A 0.57 0.44 0.74 32 12837 13 0 11 2 40
3RKF_A 0.75 0.65 0.88 22 2186 3 0 3 0 12
3SD1_A 0.11 0.10 0.15 4 3890 22 0 22 0 38
4A1C_2 0.24 0.24 0.24 8 11748 37 3 22 12 25
4AOB_A 0.18 0.14 0.25 6 4347 19 1 17 1 36
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4

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