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 RNAsubopt - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) RNAsubopt
MCC 0.634 > 0.601
Average MCC ± 95% Confidence Intervals 0.634 ± 0.121 > 0.620 ± 0.163
Sensitivity 0.479 < 0.634
Positive Predictive Value 0.842 > 0.575
Total TP 245 < 324
Total TN 74221 > 73949
Total FP 62 < 299
Total FP CONTRA 25 < 103
Total FP INCONS 21 < 136
Total FP COMP 16 < 60
Total FN 266 > 187
P-value 1.89649746203e-08

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Performance plots


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

  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 RNAsubopt).

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

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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 RNAsubopt - scored lower in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 324
Total TN 73949
Total FP 299
Total FP CONTRA 103
Total FP INCONS 136
Total FP COMP 60
Total FN 187
Total Scores
MCC 0.601
Average MCC ± 95% Confidence Intervals 0.620 ± 0.163
Sensitivity 0.634
Positive Predictive Value 0.575
Nr of predictions 16

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2. Individual counts for RNAsubopt [ 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 0.53 0.54 0.54 15 1421 14 4 9 1 13
3IVN_B 0.88 0.78 1.00 18 885 0 0 0 0 5
3IYQ_A 0.28 0.39 0.20 20 22342 96 41 37 18 31
3IZ4_A 0.56 0.60 0.53 57 25429 54 26 24 4 38
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.84 0.78 0.91 29 2246 8 0 3 5 8
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
4A1C_2 0.18 0.25 0.14 5 4481 43 13 17 13 15
4AOB_A 0.62 0.62 0.64 18 1409 11 4 6 1 11
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.36 0.33 0.42 5 484 7 0 7 0 10

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