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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Pknots Mastr(seed)
MCC 0.710 > 0.000
Average MCC ± 95% Confidence Intervals 0.742 ± 0.136 > 0.000 ± 0.000
Sensitivity 0.727 > 0.000
Positive Predictive Value 0.701 > 0.000
Total TP 312 > 0
Total TN 29294 < 29739
Total FP 169 > 0
Total FP CONTRA 46 > 0
Total FP INCONS 87 > 0
Total FP COMP 36 > 0
Total FN 117 < 429
P-value 2.43573297697e-08

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Performance plots


  1. Comparison of performance of Pknots and Mastr(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 Pknots and Mastr(seed)).

  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 Pknots and Mastr(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Pknots and Mastr(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 Pknots and Mastr(seed)).

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Performance of Pknots - scored higher in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 312
Total TN 29294
Total FP 169
Total FP CONTRA 46
Total FP INCONS 87
Total FP COMP 36
Total FN 117
Total Scores
MCC 0.710
Average MCC ± 95% Confidence Intervals 0.742 ± 0.136
Sensitivity 0.727
Positive Predictive Value 0.701
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.83 0.83 0.83 15 510 3 2 1 0 3
2ZZN_D 0.95 0.95 0.95 21 962 1 1 0 0 1
3A2K_C 0.50 0.55 0.48 12 1083 13 3 10 0 10
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3GX2_A 0.55 0.57 0.55 16 1420 14 4 9 1 12
3IVN_B 0.91 0.87 0.95 20 882 1 0 1 0 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3LA5_A 0.94 0.88 1.00 22 932 0 0 0 0 3
3NPB_A 0.84 0.81 0.88 30 2244 9 0 4 5 7
3O58_3 0.32 0.45 0.24 10 4722 39 18 14 7 12
3PDR_A 0.64 0.64 0.65 32 4791 19 4 13 2 18
3RKF_A 0.91 0.88 0.95 21 844 1 0 1 0 3
3SD1_A 0.78 0.76 0.81 22 1506 5 1 4 0 7
4A1C_2 0.33 0.40 0.29 8 4488 36 9 11 16 12
4AOB_A 0.19 0.21 0.21 6 1409 23 3 19 1 23
4ENB_A 1.00 1.00 1.00 15 457 2 0 0 2 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0

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

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

Total Base Pair Counts
Total TP 0
Total TN 29739
Total FP 0
Total FP CONTRA 0
Total FP INCONS 0
Total FP COMP 0
Total FN 429
Total Scores
MCC 0.000
Average MCC ± 95% Confidence Intervals 0.000 ± 0.000
Sensitivity 0.000
Positive Predictive Value 0.000
Nr of predictions 17

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.00 0.00 0.00 0 528 0 0 0 0 18
2ZZN_D 0.00 0.00 0.00 0 984 0 0 0 0 22
3A2K_C 0.00 0.00 0.00 0 1108 0 0 0 0 22
3A3A_A 0.00 0.00 0.00 0 1500 0 0 0 0 30
3GX2_A 0.00 0.00 0.00 0 1449 0 0 0 0 28
3IVN_B 0.00 0.00 0.00 0 903 0 0 0 0 23
3JYV_7 0.00 0.00 0.00 0 1111 0 0 0 0 20
3LA5_A 0.00 0.00 0.00 0 954 0 0 0 0 25
3NPB_A 0.00 0.00 0.00 0 2278 0 0 0 0 37
3O58_3 0.00 0.00 0.00 0 4764 0 0 0 0 22
3PDR_A 0.00 0.00 0.00 0 4840 0 0 0 0 50
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
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

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