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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAalifold(seed) UNAFold
MCC 0.634 > 0.619
Average MCC ± 95% Confidence Intervals 0.634 ± 0.121 < 0.643 ± 0.168
Sensitivity 0.479 < 0.646
Positive Predictive Value 0.842 > 0.599
Total TP 245 < 330
Total TN 74221 > 73961
Total FP 62 < 282
Total FP CONTRA 25 < 88
Total FP INCONS 21 < 133
Total FP COMP 16 < 61
Total FN 266 > 181
P-value 6.77735941577e-06

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Performance plots


  1. Comparison of performance of RNAalifold(seed) and UNAFold. 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 RNAalifold(seed) and UNAFold).

  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 RNAalifold(seed) and UNAFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) and UNAFold. 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 RNAalifold(seed) and UNAFold).

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

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

Total Base Pair Counts
Total TP 245
Total TN 74221
Total FP 62
Total FP CONTRA 25
Total FP INCONS 21
Total FP COMP 16
Total FN 266
Total Scores
MCC 0.634
Average MCC ± 95% Confidence Intervals 0.634 ± 0.121
Sensitivity 0.479
Positive Predictive Value 0.842
Nr of predictions 16

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2. Individual counts for RNAalifold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
3A3A_A 0.79 0.63 1.00 19 1481 0 0 0 0 11
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.71 0.65 0.79 15 884 4 2 2 0 8
3IYQ_A 0.36 0.27 0.48 14 22411 19 13 2 4 37
3IZ4_A 0.46 0.26 0.81 25 25505 8 6 0 2 70
3LA5_A 0.73 0.64 0.84 16 935 3 1 2 0 9
3NPB_A 0.77 0.59 1.00 22 2256 3 0 0 3 15
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.81 0.66 1.00 33 4807 1 0 0 1 17
3RKF_A 0.74 0.67 0.84 16 847 3 1 2 0 8
3SD1_A 0.70 0.59 0.85 17 1513 3 2 1 0 12
4A1C_2 0.50 0.25 1.00 5 4511 2 0 0 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
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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Performance of UNAFold - scored lower in this pairwise comparison

1. Total counts & total scores for UNAFold

Total Base Pair Counts
Total TP 330
Total TN 73961
Total FP 282
Total FP CONTRA 88
Total FP INCONS 133
Total FP COMP 61
Total FN 181
Total Scores
MCC 0.619
Average MCC ± 95% Confidence Intervals 0.643 ± 0.168
Sensitivity 0.646
Positive Predictive Value 0.599
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3GX2_A 0.81 0.79 0.85 22 1423 5 2 2 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.23 0.33 0.17 17 22339 96 46 38 12 34
3IZ4_A 0.58 0.60 0.57 57 25436 53 12 31 10 38
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.85 0.78 0.94 29 2247 6 0 2 4 8
3O58_3 0.42 0.50 0.35 11 4733 34 5 15 14 11
3PDR_A 0.93 0.92 0.94 46 4791 5 1 2 2 4
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.77 0.76 0.79 22 1505 6 4 2 0 7
4A1C_2 0.19 0.25 0.15 5 4483 42 11 17 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.37 0.33 0.45 5 485 7 0 6 1 10

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