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Table of contents:

  1. Overview

  2. Performance Plots

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

  4. Performance of Murlet(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for CentroidAlifold(seed) & Murlet(20) [.zip] - may take several seconds...


Overview

Metric CentroidAlifold(seed) Murlet(20)
MCC 0.728 > 0.698
Average MCC ± 95% Confidence Intervals 0.708 ± 0.063 > 0.701 ± 0.077
Sensitivity 0.580 < 0.591
Positive Predictive Value 0.918 > 0.831
Total TP 404 < 412
Total TN 74789 > 74733
Total FP 89 < 150
Total FP CONTRA 17 < 21
Total FP INCONS 19 < 63
Total FP COMP 53 < 66
Total FN 293 > 285
P-value 5.23657817852e-08

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Performance plots


  1. Comparison of performance of CentroidAlifold(seed) and Murlet(20). 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 CentroidAlifold(seed) and Murlet(20)).

  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 CentroidAlifold(seed) and Murlet(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for CentroidAlifold(seed) and Murlet(20). 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 CentroidAlifold(seed) and Murlet(20)).

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

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

Total Base Pair Counts
Total TP 404
Total TN 74789
Total FP 89
Total FP CONTRA 17
Total FP INCONS 19
Total FP COMP 53
Total FN 293
Total Scores
MCC 0.728
Average MCC ± 95% Confidence Intervals 0.708 ± 0.063
Sensitivity 0.580
Positive Predictive Value 0.918
Nr of predictions 26

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2. Individual counts for CentroidAlifold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.47 0.22 1.00 2 1150 4 0 0 4 7
2XKV_B 0.67 0.73 0.62 8 1822 22 0 5 17 3
2XQD_Y 0.48 0.24 1.00 5 1124 1 0 0 1 16
2XXA_G 0.83 0.74 0.93 26 2017 4 0 2 2 9
3A2K_C 0.52 0.27 1.00 6 1102 0 0 0 0 16
3AMU_B 0.51 0.26 1.00 5 1152 1 0 0 1 14
3GX2_A 0.92 0.86 1.00 24 1425 1 0 0 1 4
3IVN_B 0.86 0.83 0.90 19 882 2 2 0 0 4
3IZ4_A 0.58 0.43 0.77 41 25483 17 12 0 5 54
3IZF_C 0.67 0.46 1.00 16 2624 0 0 0 0 19
3JYV_7 0.50 0.25 1.00 5 1106 1 0 0 1 15
3JYX_3 0.65 0.53 0.80 8 2368 8 0 2 6 7
3JYX_4 0.91 0.83 1.00 10 4746 3 0 0 3 2
3LA5_A 0.87 0.80 0.95 20 933 1 1 0 0 5
3NPB_A 0.79 0.65 0.96 24 2253 5 0 1 4 13
3O58_2 0.72 0.52 1.00 16 2738 0 0 0 0 15
3O58_3 0.68 0.50 0.92 11 4752 2 1 0 1 11
3PDR_A 0.93 0.88 0.98 44 4795 3 0 1 2 6
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.85 0.76 0.96 22 1510 1 0 1 0 7
4A1C_2 0.60 0.40 0.89 8 4507 3 1 0 2 12
4A1C_3 0.66 0.43 1.00 16 2747 0 0 0 0 21
4AOB_A 0.89 0.79 1.00 23 1414 2 0 0 2 6
4ENB_A 0.72 0.53 1.00 8 464 0 0 0 0 7
4ENC_A 0.73 0.53 1.00 8 488 0 0 0 0 7

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Performance of Murlet(20) - scored lower in this pairwise comparison

1. Total counts & total scores for Murlet(20)

Total Base Pair Counts
Total TP 412
Total TN 74733
Total FP 150
Total FP CONTRA 21
Total FP INCONS 63
Total FP COMP 66
Total FN 285
Total Scores
MCC 0.698
Average MCC ± 95% Confidence Intervals 0.701 ± 0.077
Sensitivity 0.591
Positive Predictive Value 0.831
Nr of predictions 26

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2. Individual counts for Murlet(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
2WRQ_Y 0.63 0.67 0.60 6 1142 13 1 3 9 3
2XKV_B 0.60 0.36 1.00 4 1831 3 0 0 3 7
2XQD_Y 0.88 0.86 0.90 18 1109 3 0 2 1 3
2XXA_G 0.44 0.20 1.00 7 2038 0 0 0 0 28
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.89 0.89 0.89 17 1138 4 0 2 2 2
3GX2_A 0.73 0.54 1.00 15 1434 1 0 0 1 13
3IVN_B 0.80 0.65 1.00 15 888 0 0 0 0 8
3IZ4_A 0.46 0.33 0.66 31 25489 22 3 13 6 64
3IZF_C 0.88 0.83 0.94 29 2609 5 0 2 3 6
3JYV_7 0.84 0.80 0.89 16 1093 4 0 2 2 4
3JYX_3 0.76 0.73 0.79 11 2364 14 0 3 11 4
3JYX_4 0.72 0.75 0.69 9 4743 15 3 1 11 3
3LA5_A 0.80 0.64 1.00 16 938 0 0 0 0 9
3NPB_A 0.65 0.43 1.00 16 2262 2 0 0 2 21
3O58_2 1.00 1.00 1.00 31 2723 2 0 0 2 0
3O58_3 0.37 0.32 0.44 7 4748 13 4 5 4 15
3PDR_A 0.84 0.76 0.93 38 4799 3 1 2 0 12
3RKF_A 0.81 0.67 1.00 16 850 0 0 0 0 8
3SD1_A 0.82 0.83 0.83 24 1504 5 4 1 0 5
4A1C_2 0.22 0.25 0.20 5 4491 24 5 15 4 15
4A1C_3 0.72 0.59 0.88 22 2738 4 0 3 1 15
4AOB_A 0.87 0.76 1.00 22 1415 3 0 0 3 7
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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