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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RDfolder Murlet(seed)
MCC 0.660 > 0.655
Average MCC ± 95% Confidence Intervals 0.659 ± 0.169 > 0.644 ± 0.089
Sensitivity 0.606 > 0.512
Positive Predictive Value 0.736 < 0.855
Total TP 251 > 212
Total TN 16007 < 16100
Total FP 95 > 42
Total FP CONTRA 21 > 4
Total FP INCONS 69 > 32
Total FP COMP 5 < 6
Total FN 163 < 202
P-value 0.0625661724175

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Performance plots


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

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

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Performance of RDfolder - scored higher in this pairwise comparison

1. Total counts & total scores for RDfolder

Total Base Pair Counts
Total TP 251
Total TN 16007
Total FP 95
Total FP CONTRA 21
Total FP INCONS 69
Total FP COMP 5
Total FN 163
Total Scores
MCC 0.660
Average MCC ± 95% Confidence Intervals 0.659 ± 0.169
Sensitivity 0.606
Positive Predictive Value 0.736
Nr of predictions 20

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.91 0.83 1.00 15 452 1 0 0 1 3
2KUR_A 0.91 0.84 1.00 16 451 0 0 0 0 3
2KUU_A 0.91 0.83 1.00 15 432 1 0 0 1 3
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.94 0.89 1.00 16 454 0 0 0 0 2
2L1F_A -0.02 0.00 0.00 0 750 13 2 11 0 23
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A -0.03 0.00 0.00 0 514 14 3 11 0 18
2XKV_B -0.01 0.00 0.00 0 1813 22 10 12 0 11
3A3A_A 0.59 0.50 0.71 15 1479 6 0 6 0 15
3GX2_A 0.60 0.57 0.64 16 1424 10 2 7 1 12
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.35 0.24 0.54 7 1520 6 1 5 0 22
4AOB_A 0.42 0.38 0.48 11 1414 13 3 9 1 18
4ENB_A 0.48 0.40 0.60 6 462 4 0 4 0 9
4ENC_A 0.48 0.40 0.60 6 486 4 0 4 0 9

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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 212
Total TN 16100
Total FP 42
Total FP CONTRA 4
Total FP INCONS 32
Total FP COMP 6
Total FN 202
Total Scores
MCC 0.655
Average MCC ± 95% Confidence Intervals 0.644 ± 0.089
Sensitivity 0.512
Positive Predictive Value 0.855
Nr of predictions 20

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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 0.54 0.30 1.00 3 171 0 0 0 0 7
2KE6_A 0.67 0.56 0.83 10 455 2 0 2 0 8
2KUR_A 0.65 0.53 0.83 10 455 2 0 2 0 9
2KUU_A 0.67 0.56 0.83 10 435 2 0 2 0 8
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.88 0.83 0.94 15 454 2 0 1 1 3
2L1F_A 0.83 0.78 0.90 18 743 2 0 2 0 5
2L1F_B 0.82 0.75 0.90 18 771 2 0 2 0 6
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
3A3A_A 0.63 0.40 1.00 12 1488 0 0 0 0 18
3GX2_A 0.70 0.50 1.00 14 1435 1 0 0 1 14
3IVN_B 0.62 0.52 0.75 12 887 4 2 2 0 11
3LA5_A 0.67 0.56 0.82 14 937 3 1 2 0 11
3RKF_A 0.62 0.50 0.80 12 851 3 1 2 0 12
3SD1_A 0.56 0.38 0.85 11 1520 2 0 2 0 18
4AOB_A 0.69 0.48 1.00 14 1423 1 0 0 1 15
4ENB_A 0.63 0.40 1.00 6 466 0 0 0 0 9
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9

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