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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric PknotsRG Murlet(seed)
MCC 0.735 > 0.594
Average MCC ± 95% Confidence Intervals 0.762 ± 0.090 > 0.592 ± 0.069
Sensitivity 0.747 > 0.418
Positive Predictive Value 0.730 < 0.855
Total TP 526 > 294
Total TN 49239 < 49616
Total FP 290 > 63
Total FP CONTRA 56 > 5
Total FP INCONS 139 > 45
Total FP COMP 95 > 13
Total FN 178 < 410
P-value 3.56938820447e-08

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Performance plots


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

  2. Comparison of performance of PknotsRG 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 PknotsRG and Murlet(seed)).

  3. 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 PknotsRG and Murlet(seed)).

  4. 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 PknotsRG and Murlet(seed)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for PknotsRG 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 PknotsRG and Murlet(seed)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for PknotsRG 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 PknotsRG and Murlet(seed)).

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Performance of PknotsRG - scored higher in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 526
Total TN 49239
Total FP 290
Total FP CONTRA 56
Total FP INCONS 139
Total FP COMP 95
Total FN 178
Total Scores
MCC 0.735
Average MCC ± 95% Confidence Intervals 0.762 ± 0.090
Sensitivity 0.747
Positive Predictive Value 0.730
Nr of predictions 30

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2. Individual counts for PknotsRG [ 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 0.88 0.89 0.89 16 449 3 0 2 1 2
2KUR_A 0.89 0.89 0.89 17 448 2 0 2 0 2
2KUU_A 0.88 0.89 0.89 16 429 3 0 2 1 2
2KUV_A 0.89 0.89 0.89 17 420 2 0 2 0 2
2KUW_A 0.94 0.94 0.94 17 452 2 0 1 1 1
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 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.66 0.61 0.73 11 513 4 2 2 0 7
2XKV_B 0.64 0.73 0.57 8 1821 24 0 6 18 3
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 1 23
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3GX2_A 0.80 0.79 0.81 22 1422 6 2 3 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.61 0.83 0.45 10 4734 33 10 2 21 2
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.93 0.86 1.00 32 2246 4 0 0 4 5
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
3W3S_B 0.64 0.64 0.66 21 1957 12 4 7 1 12
3ZEX_C 0.30 0.34 0.26 10 5336 44 5 23 16 19
4A1C_2 0.18 0.25 0.14 5 4480 43 11 20 12 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15
4FRN_A 0.59 0.57 0.62 16 1822 10 2 8 0 12

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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 294
Total TN 49616
Total FP 63
Total FP CONTRA 5
Total FP INCONS 45
Total FP COMP 13
Total FN 410
Total Scores
MCC 0.594
Average MCC ± 95% Confidence Intervals 0.592 ± 0.069
Sensitivity 0.418
Positive Predictive Value 0.855
Nr of predictions 30

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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
3W3S_B 0.45 0.27 0.75 9 1977 3 0 3 0 24
3ZEX_C 0.49 0.24 1.00 7 5367 0 0 0 0 22
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
4FRG_B 0.17 0.13 0.25 3 1190 9 0 9 0 21
4FRN_A 0.66 0.50 0.88 14 1832 2 1 1 0 14

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