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 0.546 > 0.519
Average MCC ± 95% Confidence Intervals 0.591 ± 0.128 > 0.526 ± 0.075
Sensitivity 0.465 > 0.323
Positive Predictive Value 0.648 < 0.841
Total TP 398 > 276
Total TN 112424 < 112710
Total FP 254 > 58
Total FP CONTRA 19 > 5
Total FP INCONS 197 > 47
Total FP COMP 38 > 6
Total FN 457 < 579
P-value 5.02343278931e-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. 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)).

  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 Vsfold4 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 Vsfold4 and Murlet(seed)).

  5. 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)).

  6. 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 398
Total TN 112424
Total FP 254
Total FP CONTRA 19
Total FP INCONS 197
Total FP COMP 38
Total FN 457
Total Scores
MCC 0.546
Average MCC ± 95% Confidence Intervals 0.591 ± 0.128
Sensitivity 0.465
Positive Predictive Value 0.648
Nr of predictions 28

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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
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 0.66 0.54 0.81 13 2064 3 0 3 0 11
2L1F_B 0.68 0.56 0.82 14 2128 3 0 3 0 11
2L94_A 0.92 0.85 1.00 17 973 0 0 0 0 3
2LC8_A -0.01 0.00 0.00 0 1527 13 0 13 0 20
2XKV_B -0.01 0.00 0.00 0 4533 27 8 19 0 20
2XXA_G -0.01 0.00 0.00 0 5122 29 1 28 0 42
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
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

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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 276
Total TN 112710
Total FP 58
Total FP CONTRA 5
Total FP INCONS 47
Total FP COMP 6
Total FN 579
Total Scores
MCC 0.519
Average MCC ± 95% Confidence Intervals 0.526 ± 0.075
Sensitivity 0.323
Positive Predictive Value 0.841
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
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

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