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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(seed) Murlet(seed)
MCC 0.482 > 0.411
Average MCC ± 95% Confidence Intervals 0.494 ± 0.152 > 0.408 ± 0.091
Sensitivity 0.342 > 0.216
Positive Predictive Value 0.684 < 0.789
Total TP 160 > 101
Total TN 91818 < 91924
Total FP 107 > 32
Total FP CONTRA 8 > 3
Total FP INCONS 66 > 24
Total FP COMP 33 > 5
Total FN 308 < 367
P-value 2.7402423548e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 160
Total TN 91818
Total FP 107
Total FP CONTRA 8
Total FP INCONS 66
Total FP COMP 33
Total FN 308
Total Scores
MCC 0.482
Average MCC ± 95% Confidence Intervals 0.494 ± 0.152
Sensitivity 0.342
Positive Predictive Value 0.684
Nr of predictions 14

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2. Individual counts for RNASampler(seed) [ 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 -0.01 0.00 0.00 0 1530 10 0 10 0 20
3A3A_A 0.70 0.49 1.00 18 3637 0 0 0 0 19
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3J3E_8 0.12 0.09 0.17 3 7485 22 2 13 7 30
3J3F_8 0.44 0.33 0.57 12 12225 15 1 8 6 24
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
3W3S_B 0.55 0.30 1.00 12 4741 1 0 0 1 28
3ZEX_C 0.32 0.19 0.53 10 14177 13 1 8 4 42
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25
4JF2_A 0.57 0.32 1.00 10 2840 0 0 0 0 21

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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 101
Total TN 91924
Total FP 32
Total FP CONTRA 3
Total FP INCONS 24
Total FP COMP 5
Total FN 367
Total Scores
MCC 0.411
Average MCC ± 95% Confidence Intervals 0.408 ± 0.091
Sensitivity 0.216
Positive Predictive Value 0.789
Nr of predictions 14

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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
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
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
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
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
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
4JF2_A 0.51 0.29 0.90 9 2840 2 0 1 1 22

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