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 IPknot - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) IPknot
MCC 0.635 > 0.587
Average MCC ± 95% Confidence Intervals 0.526 ± 0.123 < 0.559 ± 0.136
Sensitivity 0.475 < 0.489
Positive Predictive Value 0.849 > 0.706
Total TP 541 < 557
Total TN 1196919 > 1196767
Total FP 104 < 266
Total FP CONTRA 8 < 25
Total FP INCONS 88 < 207
Total FP COMP 8 < 34
Total FN 599 > 583
P-value 4.61330405444e-08

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Performance plots


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

  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 IPknot).

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

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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 541
Total TN 1196919
Total FP 104
Total FP CONTRA 8
Total FP INCONS 88
Total FP COMP 8
Total FN 599
Total Scores
MCC 0.635
Average MCC ± 95% Confidence Intervals 0.526 ± 0.123
Sensitivity 0.475
Positive Predictive Value 0.849
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 -0.01 0.00 0.00 0 1528 12 0 12 0 20
3J20_2 0.69 0.58 0.83 367 1116322 80 5 71 4 266
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.50 0.25 1.00 9 12237 0 0 0 0 27
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3SD1_A 0.58 0.40 0.85 17 3896 3 1 2 0 25
3W1K_J 0.71 0.50 1.00 19 4167 0 0 0 0 19
3W3S_B 0.67 0.45 1.00 18 4735 1 0 0 1 22
3ZEX_C 0.42 0.17 1.00 9 14187 0 0 0 0 43
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.73 0.53 1.00 17 3469 0 0 0 0 15
4FRN_A 0.69 0.53 0.90 19 5130 2 1 1 0 17
4JF2_A 0.59 0.35 1.00 11 2839 0 0 0 0 20

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Performance of IPknot - scored lower in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 557
Total TN 1196767
Total FP 266
Total FP CONTRA 25
Total FP INCONS 207
Total FP COMP 34
Total FN 583
Total Scores
MCC 0.587
Average MCC ± 95% Confidence Intervals 0.559 ± 0.136
Sensitivity 0.489
Positive Predictive Value 0.706
Nr of predictions 16

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.40 0.30 0.55 6 1529 5 1 4 0 14
3J20_2 0.61 0.52 0.72 329 1116306 135 8 122 5 304
3J3E_8 0.00 0.00 0.00 0 7484 25 2 17 6 33
3J3F_8 0.33 0.33 0.33 12 12210 37 4 20 13 24
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.48 0.80 20 3891 5 0 5 0 22
3W1K_J 0.87 0.79 0.97 30 4155 1 1 0 0 8
3W3S_B 0.85 0.75 0.97 30 4722 2 0 1 1 10
3ZEX_C 0.41 0.21 0.79 11 14182 6 1 2 3 41
4A1C_2 0.17 0.15 0.19 5 11755 26 4 17 5 28
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.52 0.42 0.67 8 1314 4 0 4 0 11
4FRG_B 0.69 0.56 0.86 18 3465 3 1 2 0 14
4FRN_A 0.69 0.56 0.87 20 5128 3 1 2 0 16
4JF2_A 0.84 0.74 0.96 23 2826 1 1 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.