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 RNAwolf - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) RNAwolf
MCC 0.764 > 0.494
Average MCC ± 95% Confidence Intervals 0.606 ± 0.142 > 0.427 ± 0.153
Sensitivity 0.667 > 0.497
Positive Predictive Value 0.876 > 0.493
Total TP 510 > 380
Total TN 452310 > 452121
Total FP 135 < 498
Total FP CONTRA 16 < 85
Total FP INCONS 56 < 306
Total FP COMP 63 < 107
Total FN 255 < 385
P-value 2.86595104665e-08

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Performance plots


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

  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 RNAwolf).

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

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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 510
Total TN 452310
Total FP 135
Total FP CONTRA 16
Total FP INCONS 56
Total FP COMP 63
Total FN 255
Total Scores
MCC 0.764
Average MCC ± 95% Confidence Intervals 0.606 ± 0.142
Sensitivity 0.667
Positive Predictive Value 0.876
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
3J20_2 0.85 0.83 0.87 343 421974 104 11 40 53 69
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
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 RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 380
Total TN 452121
Total FP 498
Total FP CONTRA 85
Total FP INCONS 306
Total FP COMP 107
Total FN 385
Total Scores
MCC 0.494
Average MCC ± 95% Confidence Intervals 0.427 ± 0.153
Sensitivity 0.497
Positive Predictive Value 0.493
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 9 512 7 0 7 0 9
3J20_2 0.55 0.55 0.56 228 421959 243 27 154 62 184
3J3E_8 -0.01 0.00 0.00 0 2719 37 6 17 14 15
3J3F_8 0.28 0.37 0.23 7 4730 39 9 15 15 12
3RKF_A 0.89 0.83 0.95 20 845 1 0 1 0 4
3SD1_A 0.58 0.59 0.59 17 1504 12 2 10 0 12
3W1K_J 0.81 0.77 0.86 24 1650 5 0 4 1 7
3W3S_B 0.70 0.70 0.72 23 1957 10 0 9 1 10
3ZEX_C 0.08 0.10 0.07 3 5328 43 18 25 0 26
4A1C_2 0.12 0.15 0.10 3 4487 38 12 14 12 17
4AOB_A 0.26 0.24 0.30 7 1414 17 2 14 1 22
4ENB_A 0.45 0.40 0.55 6 461 5 1 4 0 9
4ENC_A 0.34 0.33 0.38 5 483 9 0 8 1 10
4FRG_B 0.54 0.50 0.60 12 1182 8 3 5 0 12
4FRN_A -0.01 0.00 0.00 0 1828 20 1 19 0 28
4JF2_A 0.72 0.67 0.80 16 1062 4 4 0 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.