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 0.635 > 0.408
Average MCC ± 95% Confidence Intervals 0.526 ± 0.123 > 0.377 ± 0.138
Sensitivity 0.475 > 0.381
Positive Predictive Value 0.849 > 0.438
Total TP 541 > 434
Total TN 1196919 > 1196565
Total FP 104 < 598
Total FP CONTRA 8 < 55
Total FP INCONS 88 < 502
Total FP COMP 8 < 41
Total FN 599 < 706
P-value 2.76499031155e-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 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 RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 434
Total TN 1196565
Total FP 598
Total FP CONTRA 55
Total FP INCONS 502
Total FP COMP 41
Total FN 706
Total Scores
MCC 0.408
Average MCC ± 95% Confidence Intervals 0.377 ± 0.138
Sensitivity 0.381
Positive Predictive Value 0.438
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 10 1522 8 0 8 0 10
3J20_2 0.45 0.42 0.49 266 1116224 283 17 258 8 367
3J3E_8 0.00 0.00 0.00 0 7470 42 4 29 9 33
3J3F_8 0.23 0.25 0.21 9 12204 45 5 28 12 27
3RKF_A 0.72 0.62 0.84 21 2186 4 0 4 0 13
3SD1_A 0.46 0.43 0.50 18 3880 18 0 18 0 24
3W1K_J 0.71 0.66 0.78 25 4154 7 0 7 0 13
3W3S_B 0.68 0.63 0.74 25 4719 10 0 9 1 15
3ZEX_C 0.05 0.06 0.06 3 14144 49 12 37 0 49
4A1C_2 0.08 0.09 0.08 3 11741 46 10 27 9 30
4AOB_A 0.23 0.19 0.30 8 4344 20 1 18 1 34
4ENB_A 0.35 0.32 0.40 6 1260 9 1 8 0 13
4ENC_A 0.34 0.32 0.38 6 1310 10 1 9 0 13
4FRG_B 0.56 0.50 0.64 16 3461 10 1 8 1 16
4FRN_A -0.01 0.00 0.00 0 5119 32 0 32 0 36
4JF2_A 0.67 0.58 0.78 18 2827 5 3 2 0 13

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