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 0.644 > 0.593
Average MCC ± 95% Confidence Intervals 0.623 ± 0.100 > 0.598 ± 0.125
Sensitivity 0.478 < 0.630
Positive Predictive Value 0.874 > 0.565
Total TP 341 < 450
Total TN 94798 > 94391
Total FP 71 < 451
Total FP CONTRA 27 < 138
Total FP INCONS 22 < 209
Total FP COMP 22 < 104
Total FN 373 > 264
P-value 5.19332990918e-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 341
Total TN 94798
Total FP 71
Total FP CONTRA 27
Total FP INCONS 22
Total FP COMP 22
Total FN 373
Total Scores
MCC 0.644
Average MCC ± 95% Confidence Intervals 0.623 ± 0.100
Sensitivity 0.478
Positive Predictive Value 0.874
Nr of predictions 24

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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
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3F_8 0.61 0.37 1.00 7 4754 2 0 0 2 12
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
3W1K_J 0.78 0.61 1.00 19 1659 0 0 0 0 12
3W3S_B 0.71 0.52 1.00 17 1972 2 0 0 2 16
3ZEX_C 0.49 0.24 1.00 7 5367 2 0 0 2 22
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
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7
4FRN_A 0.78 0.68 0.90 19 1827 2 1 1 0 9
4JF2_A 0.61 0.42 0.91 10 1071 1 1 0 0 14

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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 450
Total TN 94391
Total FP 451
Total FP CONTRA 138
Total FP INCONS 209
Total FP COMP 104
Total FN 264
Total Scores
MCC 0.593
Average MCC ± 95% Confidence Intervals 0.598 ± 0.125
Sensitivity 0.630
Positive Predictive Value 0.565
Nr of predictions 24

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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
3J3E_8 0.25 0.33 0.20 5 2717 32 7 13 12 10
3J3F_8 0.35 0.47 0.26 9 4726 42 13 13 16 10
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
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.95 0.94 0.97 31 1957 2 0 1 1 2
3ZEX_C 0.30 0.34 0.26 10 5336 43 5 23 15 19
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
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15
4FRN_A 0.58 0.57 0.59 16 1821 11 3 8 0 12
4JF2_A 0.69 0.67 0.73 16 1060 6 4 2 0 8

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