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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Contrafold Murlet(seed)
MCC 0.599 > 0.475
Average MCC ± 95% Confidence Intervals 0.618 ± 0.129 > 0.471 ± 0.083
Sensitivity 0.516 > 0.270
Positive Predictive Value 0.700 < 0.841
Total TP 283 > 148
Total TN 83829 < 84057
Total FP 142 > 32
Total FP CONTRA 23 > 5
Total FP INCONS 98 > 23
Total FP COMP 21 > 4
Total FN 265 < 400
P-value 3.02344513449e-08

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Performance plots


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

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

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Performance of Contrafold - scored higher in this pairwise comparison

1. Total counts & total scores for Contrafold

Total Base Pair Counts
Total TP 283
Total TN 83829
Total FP 142
Total FP CONTRA 23
Total FP INCONS 98
Total FP COMP 21
Total FN 265
Total Scores
MCC 0.599
Average MCC ± 95% Confidence Intervals 0.618 ± 0.129
Sensitivity 0.516
Positive Predictive Value 0.700
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2LC8_A 0.45 0.35 0.58 7 1528 5 2 3 0 13
3A3A_A 0.87 0.76 1.00 28 3627 0 0 0 0 9
3GX2_A 0.77 0.63 0.96 25 4345 2 0 1 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.20 0.21 0.20 7 12211 35 6 22 7 26
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.76 0.70 0.84 32 6983 8 1 5 2 14
3O58_3 0.28 0.26 0.31 9 12374 20 3 17 0 26
3PDR_A 0.69 0.60 0.80 43 12826 13 0 11 2 29
3RKF_A 0.73 0.59 0.91 20 2189 2 1 1 0 14
3SD1_A 0.57 0.48 0.69 20 3887 9 2 7 0 22
4A1C_2 0.16 0.15 0.17 5 11751 33 5 20 8 28
4AOB_A 0.44 0.36 0.56 15 4344 13 1 11 1 27
4ENB_A 0.73 0.58 0.92 11 1263 1 1 0 0 8
4ENC_A 0.73 0.58 0.92 11 1314 1 1 0 0 8

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Performance of Murlet(seed) - scored lower 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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.