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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Contrafold Murlet(seed)
MCC 0.757 > 0.620
Average MCC ± 95% Confidence Intervals 0.779 ± 0.110 > 0.616 ± 0.071
Sensitivity 0.761 > 0.442
Positive Predictive Value 0.761 < 0.879
Total TP 449 > 261
Total TN 38957 < 39250
Total FP 206 > 49
Total FP CONTRA 51 > 4
Total FP INCONS 90 > 32
Total FP COMP 65 > 13
Total FN 141 < 329
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of Contrafold and Murlet(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 Contrafold and Murlet(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 Contrafold and Murlet(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Contrafold and Murlet(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 Contrafold and Murlet(seed)).

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Performance of Contrafold - scored higher in this pairwise comparison

1. Total counts & total scores for Contrafold

Total Base Pair Counts
Total TP 449
Total TN 38957
Total FP 206
Total FP CONTRA 51
Total FP INCONS 90
Total FP COMP 65
Total FN 141
Total Scores
MCC 0.757
Average MCC ± 95% Confidence Intervals 0.779 ± 0.110
Sensitivity 0.761
Positive Predictive Value 0.761
Nr of predictions 26

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2. Individual counts for Contrafold [ 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 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2L1F_A 1.00 1.00 1.00 23 740 0 0 0 0 0
2L1F_B 1.00 1.00 1.00 24 767 0 0 0 0 0
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2LC8_A 0.46 0.39 0.58 7 516 5 3 2 0 11
2XKV_B 0.64 0.73 0.57 8 1821 27 0 6 21 3
2XXA_G 0.10 0.11 0.12 4 2012 30 2 27 1 31
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3GX2_A 0.93 0.89 0.96 25 1423 2 1 0 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.39 0.58 0.27 7 4730 35 13 6 16 5
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.86 0.84 0.89 31 2243 9 1 3 5 6
3O58_3 0.32 0.36 0.29 8 4736 21 7 13 1 14
3PDR_A 0.83 0.86 0.80 43 4786 13 5 6 2 7
3RKF_A 0.87 0.83 0.91 20 844 2 2 0 0 4
3SD1_A 0.68 0.69 0.69 20 1504 9 5 4 0 9
4A1C_2 0.21 0.25 0.19 5 4489 33 9 13 11 15
4AOB_A 0.53 0.52 0.56 15 1410 13 3 9 1 14
4ENB_A 0.85 0.73 1.00 11 461 1 0 0 1 4
4ENC_A 0.85 0.73 1.00 11 485 1 0 0 1 4

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

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

Total Base Pair Counts
Total TP 261
Total TN 39250
Total FP 49
Total FP CONTRA 4
Total FP INCONS 32
Total FP COMP 13
Total FN 329
Total Scores
MCC 0.620
Average MCC ± 95% Confidence Intervals 0.616 ± 0.071
Sensitivity 0.442
Positive Predictive Value 0.879
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.54 0.30 1.00 3 171 0 0 0 0 7
2KE6_A 0.67 0.56 0.83 10 455 2 0 2 0 8
2KUR_A 0.65 0.53 0.83 10 455 2 0 2 0 9
2KUU_A 0.67 0.56 0.83 10 435 2 0 2 0 8
2KUV_A 0.91 0.84 1.00 16 423 0 0 0 0 3
2KUW_A 0.88 0.83 0.94 15 454 2 0 1 1 3
2L1F_A 0.83 0.78 0.90 18 743 2 0 2 0 5
2L1F_B 0.82 0.75 0.90 18 771 2 0 2 0 6
2L94_A 0.57 0.39 0.88 7 349 2 0 1 1 11
2LC8_A -0.03 0.00 0.00 0 516 12 0 12 0 18
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XXA_G 0.41 0.17 1.00 6 2039 0 0 0 0 29
3A3A_A 0.63 0.40 1.00 12 1488 0 0 0 0 18
3GX2_A 0.70 0.50 1.00 14 1435 1 0 0 1 14
3IVN_B 0.62 0.52 0.75 12 887 4 2 2 0 11
3JYX_4 0.50 0.25 1.00 3 4753 4 0 0 4 9
3LA5_A 0.67 0.56 0.82 14 937 3 1 2 0 11
3NPB_A 0.59 0.35 1.00 13 2265 2 0 0 2 24
3O58_3 0.52 0.27 1.00 6 4758 1 0 0 1 16
3PDR_A 0.53 0.28 1.00 14 4826 0 0 0 0 36
3RKF_A 0.62 0.50 0.80 12 851 3 1 2 0 12
3SD1_A 0.56 0.38 0.85 11 1520 2 0 2 0 18
4A1C_2 0.59 0.35 1.00 7 4509 0 0 0 0 13
4AOB_A 0.69 0.48 1.00 14 1423 1 0 0 1 15
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

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