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

  1. Overview

  2. Performance Plots

  3. Performance of Vsfold4 - scored higher in this pairwise comparison

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

  5. Compile and download dataset for Vsfold4 & Murlet(seed) [.zip] - may take several seconds...


Overview

Metric Vsfold4 Murlet(seed)
MCC 0.488 > 0.447
Average MCC ± 95% Confidence Intervals 0.506 ± 0.132 > 0.442 ± 0.072
Sensitivity 0.403 > 0.247
Positive Predictive Value 0.597 < 0.813
Total TP 290 > 178
Total TN 114585 < 114852
Total FP 252 > 48
Total FP CONTRA 16 > 5
Total FP INCONS 180 > 36
Total FP COMP 56 > 7
Total FN 430 < 542
P-value 4.85839946686e-08

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Performance plots


  1. Comparison of performance of Vsfold4 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 Vsfold4 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 Vsfold4 and Murlet(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Vsfold4 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 Vsfold4 and Murlet(seed)).

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Performance of Vsfold4 - scored higher in this pairwise comparison

1. Total counts & total scores for Vsfold4

Total Base Pair Counts
Total TP 290
Total TN 114585
Total FP 252
Total FP CONTRA 16
Total FP INCONS 180
Total FP COMP 56
Total FN 430
Total Scores
MCC 0.488
Average MCC ± 95% Confidence Intervals 0.506 ± 0.132
Sensitivity 0.403
Positive Predictive Value 0.597
Nr of predictions 21

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2. Individual counts for Vsfold4 [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
3A3A_A 0.85 0.73 1.00 27 3628 0 0 0 0 10
3GX2_A 0.50 0.40 0.64 16 4346 10 0 9 1 24
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3J3E_8 0.07 0.06 0.09 2 7481 32 2 18 12 31
3J3F_8 0.33 0.31 0.37 11 12216 27 4 15 8 25
3JYX_4 0.10 0.09 0.12 3 12220 33 2 21 10 30
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.61 0.50 0.74 23 6990 9 0 8 1 23
3O58_3 0.09 0.09 0.10 3 12373 35 5 22 8 32
3PDR_A 0.57 0.44 0.74 32 12837 13 0 11 2 40
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.19 0.17 0.24 7 3887 22 1 21 0 35
3W3S_B 0.67 0.58 0.79 23 4724 7 0 6 1 17
4A1C_2 0.28 0.24 0.33 8 11757 28 0 16 12 25
4AOB_A 0.42 0.33 0.54 14 4345 13 1 11 1 28
4ENB_A 0.76 0.58 1.00 11 1264 0 0 0 0 8
4ENC_A 0.69 0.47 1.00 9 1317 0 0 0 0 10
4FRG_B 0.56 0.47 0.68 15 3464 7 1 6 0 17
4JF2_A 0.66 0.52 0.84 16 2831 3 0 3 0 15

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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 178
Total TN 114852
Total FP 48
Total FP CONTRA 5
Total FP INCONS 36
Total FP COMP 7
Total FN 542
Total Scores
MCC 0.447
Average MCC ± 95% Confidence Intervals 0.442 ± 0.072
Sensitivity 0.247
Positive Predictive Value 0.813
Nr of predictions 21

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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
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
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
3J3E_8 0.25 0.06 1.00 2 7501 2 0 0 2 31
3J3F_8 0.44 0.19 1.00 7 12239 0 0 0 0 29
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
4JF2_A 0.51 0.29 0.90 9 2840 2 0 1 1 22

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