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

  1. Overview

  2. Performance Plots

  3. Performance of RSpredict(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric RSpredict(seed) Carnac(seed)
MCC 0.467 > 0.299
Average MCC ± 95% Confidence Intervals 0.425 ± 0.135 > 0.169 ± 0.121
Sensitivity 0.309 > 0.090
Positive Predictive Value 0.718 < 1.000
Total TP 219 > 64
Total TN 49777 < 50018
Total FP 96 > 1
Total FP CONTRA 11 > 0
Total FP INCONS 75 > 0
Total FP COMP 10 > 1
Total FN 489 < 644
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of RSpredict(seed) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 219
Total TN 49777
Total FP 96
Total FP CONTRA 11
Total FP INCONS 75
Total FP COMP 10
Total FN 489
Total Scores
MCC 0.467
Average MCC ± 95% Confidence Intervals 0.425 ± 0.135
Sensitivity 0.309
Positive Predictive Value 0.718
Nr of predictions 30

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2KE6_A 0.85 0.78 0.93 14 452 2 0 1 1 4
2KUR_A 0.86 0.79 0.94 15 451 1 0 1 0 4
2KUU_A 0.85 0.78 0.93 14 432 2 0 1 1 4
2KUV_A 0.85 0.79 0.94 15 423 1 0 1 0 4
2KUW_A 0.75 0.67 0.86 12 456 3 0 2 1 6
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
2L1F_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2XKV_B 0.38 0.36 0.40 4 1825 8 4 2 2 7
2XXA_G 0.37 0.20 0.70 7 2035 3 0 3 0 28
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IZF_C 0.00 0.00 0.00 0 2635 5 0 5 0 35
3JYX_3 0.00 0.00 0.00 0 2373 5 1 4 0 15
3JYX_4 0.00 0.00 0.00 0 4754 5 0 2 3 12
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_2 0.00 0.00 0.00 0 2751 3 0 3 0 31
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12

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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 64
Total TN 50018
Total FP 1
Total FP CONTRA 0
Total FP INCONS 0
Total FP COMP 1
Total FN 644
Total Scores
MCC 0.299
Average MCC ± 95% Confidence Intervals 0.169 ± 0.121
Sensitivity 0.090
Positive Predictive Value 1.000
Nr of predictions 30

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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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.00 0.00 0.00 0 467 0 0 0 0 18
2KUR_A 0.60 0.37 1.00 7 460 0 0 0 0 12
2KUU_A 0.62 0.39 1.00 7 440 0 0 0 0 11
2KUV_A 0.68 0.47 1.00 9 430 0 0 0 0 10
2KUW_A 0.70 0.50 1.00 9 461 0 0 0 0 9
2L1F_A 0.00 0.00 0.00 0 763 0 0 0 0 23
2L1F_B 0.00 0.00 0.00 0 791 0 0 0 0 24
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.47 0.22 1.00 4 524 0 0 0 0 14
2XKV_B 0.00 0.00 0.00 0 1835 0 0 0 0 11
2XXA_G 0.00 0.00 0.00 0 2045 0 0 0 0 35
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
3IZF_C 0.00 0.00 0.00 0 2640 0 0 0 0 35
3JYX_3 0.00 0.00 0.00 0 2378 0 0 0 0 15
3JYX_4 0.00 0.00 0.00 0 4756 0 0 0 0 12
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_2 0.00 0.00 0.00 0 2754 0 0 0 0 31
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_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

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