CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of IPknot - scored higher in this pairwise comparison

  4. Performance of Carnac(seed) - scored lower in this pairwise comparison

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


Overview

Metric IPknot Carnac(seed)
MCC 0.726 > 0.553
Average MCC ± 95% Confidence Intervals 0.677 ± 0.128 > 0.091 ± 0.138
Sensitivity 0.696 > 0.330
Positive Predictive Value 0.760 < 0.929
Total TP 496 > 235
Total TN 444739 < 445139
Total FP 235 > 56
Total FP CONTRA 34 > 6
Total FP INCONS 123 > 12
Total FP COMP 78 > 38
Total FN 217 < 478
P-value 2.12160100812e-08

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Performance plots


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

  2. Comparison of performance of IPknot and Carnac(seed). 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 IPknot and Carnac(seed)).

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

  4. Comparison of average Matthews Correlation Coefficients (MCCs) for IPknot and Carnac(seed). 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 IPknot and Carnac(seed)).

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Performance of IPknot - scored higher in this pairwise comparison

1. Total counts & total scores for IPknot

Total Base Pair Counts
Total TP 496
Total TN 444739
Total FP 235
Total FP CONTRA 34
Total FP INCONS 123
Total FP COMP 78
Total FN 217
Total Scores
MCC 0.726
Average MCC ± 95% Confidence Intervals 0.677 ± 0.128
Sensitivity 0.696
Positive Predictive Value 0.760
Nr of predictions 13

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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
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
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_3 0.83 0.81 0.86 30 2728 7 0 5 2 7
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

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Performance of Carnac(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for Carnac(seed)

Total Base Pair Counts
Total TP 235
Total TN 445139
Total FP 56
Total FP CONTRA 6
Total FP INCONS 12
Total FP COMP 38
Total FN 478
Total Scores
MCC 0.553
Average MCC ± 95% Confidence Intervals 0.091 ± 0.138
Sensitivity 0.330
Positive Predictive Value 0.929
Nr of predictions 13

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2. Individual counts for Carnac(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.47 0.22 1.00 4 524 0 0 0 0 14
3J20_2 0.72 0.56 0.93 231 422119 56 6 12 38 181
3RKF_A 0.00 0.00 0.00 0 866 0 0 0 0 24
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3W3S_B 0.00 0.00 0.00 0 1989 0 0 0 0 33
3ZEX_C 0.00 0.00 0.00 0 5374 0 0 0 0 29
4A1C_3 0.00 0.00 0.00 0 2763 0 0 0 0 37
4A1C_2 0.00 0.00 0.00 0 4516 0 0 0 0 20
4AOB_A 0.00 0.00 0.00 0 1437 0 0 0 0 29
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15
4FRG_B 0.00 0.00 0.00 0 1202 0 0 0 0 24
4FRN_A 0.00 0.00 0.00 0 1848 0 0 0 0 28

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