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 0.764 > 0.709
Average MCC ± 95% Confidence Intervals 0.606 ± 0.142 < 0.640 ± 0.152
Sensitivity 0.667 < 0.690
Positive Predictive Value 0.876 > 0.729
Total TP 510 < 528
Total TN 452310 > 452168
Total FP 135 < 295
Total FP CONTRA 16 < 52
Total FP INCONS 56 < 144
Total FP COMP 63 < 99
Total FN 255 > 237
P-value 5.81039766894e-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 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 IPknot - scored lower in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 528
Total TN 452168
Total FP 295
Total FP CONTRA 52
Total FP INCONS 144
Total FP COMP 99
Total FN 237
Total Scores
MCC 0.709
Average MCC ± 95% Confidence Intervals 0.640 ± 0.152
Sensitivity 0.690
Positive Predictive Value 0.729
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 0.41 0.33 0.55 6 517 5 1 4 0 12
3J20_2 0.75 0.74 0.76 305 421966 159 17 80 62 107
3J3E_8 -0.01 0.00 0.00 0 2723 25 5 14 6 15
3J3F_8 0.36 0.47 0.28 9 4729 40 11 12 17 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.74 0.69 0.80 20 1508 5 0 5 0 9
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.94 0.91 0.97 30 1958 2 0 1 1 3
3ZEX_C 0.51 0.34 0.77 10 5361 7 1 2 4 19
4A1C_2 0.23 0.25 0.22 5 4493 26 8 10 8 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.59 0.53 0.67 8 484 4 0 4 0 7
4FRG_B 0.75 0.71 0.81 17 1181 4 3 1 0 7
4FRN_A 0.79 0.71 0.87 20 1825 3 1 2 0 8
4JF2_A 0.96 0.96 0.96 23 1058 1 1 0 0 1

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