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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric MaxExpect Murlet(seed)
MCC 0.613 > 0.512
Average MCC ± 95% Confidence Intervals 0.632 ± 0.111 > 0.521 ± 0.076
Sensitivity 0.533 > 0.315
Positive Predictive Value 0.711 < 0.839
Total TP 477 > 282
Total TN 127653 < 127988
Total FP 263 > 60
Total FP CONTRA 22 > 6
Total FP INCONS 172 > 48
Total FP COMP 69 > 6
Total FN 418 < 613
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of MaxExpect - scored higher in this pairwise comparison

1. Total counts & total scores for MaxExpect

Total Base Pair Counts
Total TP 477
Total TN 127653
Total FP 263
Total FP CONTRA 22
Total FP INCONS 172
Total FP COMP 69
Total FN 418
Total Scores
MCC 0.613
Average MCC ± 95% Confidence Intervals 0.632 ± 0.111
Sensitivity 0.533
Positive Predictive Value 0.711
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KE6_A 0.92 0.89 0.94 17 1110 2 0 1 1 2
2KUR_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2KUU_A 0.87 0.81 0.94 17 1110 2 0 1 1 4
2KUV_A 0.88 0.82 0.95 18 1109 1 0 1 0 4
2KUW_A 0.90 0.86 0.95 18 1109 1 0 1 0 3
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2XKV_B 0.51 0.50 0.53 10 4541 24 0 9 15 10
2XXA_G 0.25 0.24 0.27 10 5114 27 1 26 0 32
3GX2_A 0.77 0.63 0.96 25 4345 2 0 1 1 15
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3JYX_4 0.31 0.30 0.31 10 12214 34 4 18 12 23
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.71 0.61 0.82 28 6987 9 0 6 3 18
3O58_3 0.35 0.34 0.35 12 12369 35 2 20 13 23
3PDR_A 0.76 0.63 0.94 45 12832 5 0 3 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.58 0.48 0.71 20 3888 8 1 7 0 22
3W3S_B 0.88 0.78 1.00 31 4722 1 0 0 1 9
3ZEX_C 0.41 0.27 0.64 14 14174 16 2 6 8 38
4A1C_2 0.14 0.15 0.14 5 11746 41 4 26 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.31 0.26 0.38 5 1313 8 1 7 0 14
4FRG_B 0.30 0.22 0.41 7 3469 10 1 9 0 25
4FRN_A 0.45 0.36 0.57 13 5128 10 2 8 0 23

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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 282
Total TN 127988
Total FP 60
Total FP CONTRA 6
Total FP INCONS 48
Total FP COMP 6
Total FN 613
Total Scores
MCC 0.512
Average MCC ± 95% Confidence Intervals 0.521 ± 0.076
Sensitivity 0.315
Positive Predictive Value 0.839
Nr of predictions 28

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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
2KE6_A 0.66 0.53 0.83 10 1116 2 0 2 0 9
2KUR_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUU_A 0.63 0.48 0.83 10 1116 2 0 2 0 11
2KUV_A 0.85 0.73 1.00 16 1112 0 0 0 0 6
2KUW_A 0.84 0.76 0.94 16 1111 1 0 1 0 5
2L1F_A 0.82 0.75 0.90 18 2060 2 0 2 0 6
2L1F_B 0.80 0.72 0.90 18 2125 2 0 2 0 7
2L94_A 0.59 0.40 0.89 8 981 1 0 1 0 12
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
2XKV_B 0.45 0.20 1.00 4 4556 2 0 0 2 16
2XXA_G 0.38 0.14 1.00 6 5145 0 0 0 0 36
3GX2_A 0.59 0.35 1.00 14 4357 1 0 0 1 26
3IVN_B 0.53 0.39 0.75 12 2330 4 2 2 0 19
3JYX_4 0.23 0.09 0.60 3 12241 4 0 2 2 30
3LA5_A 0.58 0.41 0.82 14 2468 3 1 2 0 20
3NPB_A 0.49 0.28 0.87 13 7006 2 1 1 0 33
3O58_3 0.45 0.20 1.00 7 12396 0 0 0 0 28
3PDR_A 0.44 0.19 1.00 14 12866 0 0 0 0 58
3RKF_A 0.53 0.35 0.80 12 2196 3 1 2 0 22
3SD1_A 0.47 0.26 0.85 11 3903 2 0 2 0 31
3W3S_B 0.41 0.23 0.75 9 4741 3 0 3 0 31
3ZEX_C 0.37 0.13 1.00 7 14189 0 0 0 0 45
4A1C_2 0.46 0.21 1.00 7 11774 0 0 0 0 26
4AOB_A 0.58 0.33 1.00 14 4357 1 0 0 1 28
4ENB_A 0.56 0.32 1.00 6 1269 0 0 0 0 13
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13
4FRG_B 0.15 0.09 0.25 3 3474 9 0 9 0 29
4FRN_A 0.58 0.39 0.88 14 5135 2 1 1 0 22

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