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

  1. Overview

  2. Performance Plots

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

  4. Performance of Vsfold5 - scored lower in this pairwise comparison

  5. Compile and download dataset for Murlet(seed) & Vsfold5 [.zip] - may take several seconds...


Overview

Metric Murlet(seed) Vsfold5
MCC 0.522 > 0.518
Average MCC ± 95% Confidence Intervals 0.528 ± 0.072 < 0.565 ± 0.134
Sensitivity 0.325 < 0.452
Positive Predictive Value 0.843 > 0.601
Total TP 290 < 403
Total TN 117845 > 117519
Total FP 60 < 306
Total FP CONTRA 6 < 34
Total FP INCONS 48 < 233
Total FP COMP 6 < 39
Total FN 601 > 488
P-value 0.309965267453

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Performance plots


  1. Comparison of performance of Murlet(seed) and Vsfold5. 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 Murlet(seed) and Vsfold5).

  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 Murlet(seed) and Vsfold5).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(seed) and Vsfold5. 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 Murlet(seed) and Vsfold5).

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

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

Total Base Pair Counts
Total TP 290
Total TN 117845
Total FP 60
Total FP CONTRA 6
Total FP INCONS 48
Total FP COMP 6
Total FN 601
Total Scores
MCC 0.522
Average MCC ± 95% Confidence Intervals 0.528 ± 0.072
Sensitivity 0.325
Positive Predictive Value 0.843
Nr of predictions 29

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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 0.52 0.27 1.00 3 403 0 0 0 0 8
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
3A3A_A 0.57 0.32 1.00 12 3643 0 0 0 0 25
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
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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Performance of Vsfold5 - scored lower in this pairwise comparison

1. Total counts & total scores for Vsfold5

Total Base Pair Counts
Total TP 403
Total TN 117519
Total FP 306
Total FP CONTRA 34
Total FP INCONS 233
Total FP COMP 39
Total FN 488
Total Scores
MCC 0.518
Average MCC ± 95% Confidence Intervals 0.565 ± 0.134
Sensitivity 0.452
Positive Predictive Value 0.601
Nr of predictions 29

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2. Individual counts for Vsfold5 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.90 0.82 1.00 9 397 0 0 0 0 2
2KE6_A 0.97 0.95 1.00 18 1110 1 0 0 1 1
2KUR_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2KUU_A 0.92 0.86 1.00 18 1110 1 0 0 1 3
2KUV_A 0.93 0.86 1.00 19 1109 0 0 0 0 3
2KUW_A 0.95 0.90 1.00 19 1109 0 0 0 0 2
2L1F_A 0.69 0.58 0.82 14 2063 3 0 3 0 10
2L1F_B 0.70 0.60 0.83 15 2127 3 0 3 0 10
2L94_A 0.95 0.90 1.00 18 972 0 0 0 0 2
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
2XKV_B -0.01 0.00 0.00 0 4528 32 12 20 0 20
2XXA_G -0.01 0.00 0.00 0 5120 31 2 29 0 42
3A3A_A 0.85 0.73 1.00 27 3628 0 0 0 0 10
3GX2_A 0.51 0.40 0.67 16 4347 9 0 8 1 24
3IVN_B 0.76 0.58 1.00 18 2328 0 0 0 0 13
3JYX_4 0.31 0.30 0.31 10 12214 32 3 19 10 23
3LA5_A -0.01 0.00 0.00 0 2469 16 0 16 0 34
3NPB_A 0.57 0.46 0.72 21 6992 9 1 7 1 25
3O58_3 0.39 0.37 0.41 13 12371 28 7 12 9 22
3PDR_A 0.57 0.44 0.74 32 12837 13 0 11 2 40
3RKF_A 0.75 0.65 0.88 22 2186 3 0 3 0 12
3SD1_A 0.11 0.10 0.15 4 3890 22 0 22 0 38
3W3S_B 0.76 0.70 0.82 28 4719 7 1 5 1 12
4A1C_2 0.24 0.24 0.24 8 11748 37 3 22 12 25
4AOB_A 0.18 0.14 0.25 6 4347 19 1 17 1 36
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17
4FRN_A 0.13 0.11 0.17 4 5128 19 2 17 0 32

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