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(20) - scored higher in this pairwise comparison

  4. Performance of RDfolder - scored lower in this pairwise comparison

  5. Compile and download dataset for Murlet(20) & RDfolder [.zip] - may take several seconds...


Overview

Metric Murlet(20) RDfolder
MCC 0.646 > 0.541
Average MCC ± 95% Confidence Intervals 0.630 ± 0.062 > 0.557 ± 0.164
Sensitivity 0.488 > 0.440
Positive Predictive Value 0.862 > 0.675
Total TP 231 > 208
Total TN 45318 > 45278
Total FP 45 < 109
Total FP CONTRA 7 < 14
Total FP INCONS 30 < 86
Total FP COMP 8 < 9
Total FN 242 < 265
P-value 2.41358941668e-08

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Performance plots


  1. Comparison of performance of Murlet(20) and RDfolder. 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(20) and RDfolder).

  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(20) and RDfolder).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) and RDfolder. 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(20) and RDfolder).

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Performance of Murlet(20) - scored higher in this pairwise comparison

1. Total counts & total scores for Murlet(20)

Total Base Pair Counts
Total TP 231
Total TN 45318
Total FP 45
Total FP CONTRA 7
Total FP INCONS 30
Total FP COMP 8
Total FN 242
Total Scores
MCC 0.646
Average MCC ± 95% Confidence Intervals 0.630 ± 0.062
Sensitivity 0.488
Positive Predictive Value 0.862
Nr of predictions 17

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2. Individual counts for Murlet(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.67 0.45 1.00 5 401 0 0 0 0 6
2L94_A 0.53 0.50 0.59 10 973 7 0 7 0 10
2WRQ_Y 0.41 0.41 0.41 7 2833 12 6 4 2 10
2XKV_B 0.45 0.20 1.00 4 4556 3 0 0 3 16
2XQD_Y 0.80 0.70 0.90 19 2829 2 0 2 0 8
3A2K_C 0.78 0.68 0.90 19 2905 2 0 2 0 9
3AMU_B 0.77 0.67 0.90 18 2983 3 0 2 1 9
3GX2_A 0.61 0.38 1.00 15 4356 1 0 0 1 25
3IVN_B 0.69 0.48 1.00 15 2331 0 0 0 0 16
3J20_0 0.58 0.47 0.74 14 2831 5 0 5 0 16
3JYV_7 0.67 0.53 0.85 17 2830 3 0 3 0 15
3LA5_A 0.68 0.47 1.00 16 2469 0 0 0 0 18
3RKF_A 0.68 0.47 1.00 16 2195 0 0 0 0 18
3SD1_A 0.68 0.57 0.83 24 3887 5 1 4 0 18
4AOB_A 0.72 0.55 0.96 23 4347 2 0 1 1 19
4ENB_A 0.46 0.21 1.00 4 1271 0 0 0 0 15
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14

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Performance of RDfolder - scored lower in this pairwise comparison

1. Total counts & total scores for RDfolder

Total Base Pair Counts
Total TP 208
Total TN 45278
Total FP 109
Total FP CONTRA 14
Total FP INCONS 86
Total FP COMP 9
Total FN 265
Total Scores
MCC 0.541
Average MCC ± 95% Confidence Intervals 0.557 ± 0.164
Sensitivity 0.440
Positive Predictive Value 0.675
Nr of predictions 17

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2XKV_B 0.00 0.00 0.00 0 4538 22 5 17 0 20
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.18 0.15 0.22 4 2985 16 2 12 2 23
3GX2_A 0.50 0.40 0.64 16 4346 10 1 8 1 24
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3J20_0 0.73 0.57 0.94 17 2832 2 0 1 1 13
3JYV_7 -0.01 0.00 0.00 0 2830 20 0 20 0 32
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.30 0.17 0.54 7 3903 6 0 6 0 35
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ENB_A 0.43 0.32 0.60 6 1265 4 0 4 0 13
4ENC_A 0.43 0.32 0.60 6 1316 4 0 4 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.