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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAsubopt RSpredict(seed)
MCC 0.664 > 0.372
Average MCC ± 95% Confidence Intervals 0.692 ± 0.087 > 0.306 ± 0.107
Sensitivity 0.693 > 0.222
Positive Predictive Value 0.643 > 0.636
Total TP 744 > 238
Total TN 110054 < 110837
Total FP 584 > 161
Total FP CONTRA 145 > 28
Total FP INCONS 268 > 108
Total FP COMP 171 > 25
Total FN 330 < 836
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of RNAsubopt and RSpredict(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 RNAsubopt and RSpredict(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 RNAsubopt and RSpredict(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAsubopt and RSpredict(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 RNAsubopt and RSpredict(seed)).

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Performance of RNAsubopt - scored higher in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 744
Total TN 110054
Total FP 584
Total FP CONTRA 145
Total FP INCONS 268
Total FP COMP 171
Total FN 330
Total Scores
MCC 0.664
Average MCC ± 95% Confidence Intervals 0.692 ± 0.087
Sensitivity 0.693
Positive Predictive Value 0.643
Nr of predictions 44

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2KE6_A 0.88 0.89 0.89 16 449 3 0 2 1 2
2KUR_A 0.89 0.89 0.89 17 448 2 0 2 0 2
2KUU_A 0.88 0.89 0.89 16 429 3 0 2 1 2
2KUV_A 0.89 0.89 0.89 17 420 2 0 2 0 2
2KUW_A 0.94 0.94 0.94 17 452 2 0 1 1 1
2KX8_A 0.97 0.94 1.00 15 356 0 0 0 0 1
2L1F_A 0.95 0.91 1.00 21 742 0 0 0 0 2
2L1F_B 0.96 0.92 1.00 22 769 0 0 0 0 2
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 0
2WWQ_V 1.00 1.00 1.00 19 1185 5 0 0 5 0
2XKV_B 0.64 0.73 0.57 8 1821 25 0 6 19 3
2XQD_Y 0.83 0.81 0.85 17 1109 4 0 3 1 4
2XXA_G 0.49 0.49 0.52 17 2012 17 1 15 1 18
2ZZM_B 0.29 0.33 0.26 5 1339 22 5 9 8 10
2ZZN_D 0.52 0.55 0.52 12 961 11 3 8 0 10
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3AKZ_H 0.43 0.45 0.43 9 1106 14 3 9 2 11
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3GX2_A 0.53 0.54 0.54 15 1421 14 4 9 1 13
3IVN_B 0.88 0.78 1.00 18 885 0 0 0 0 5
3IYQ_A 0.28 0.39 0.20 20 22342 96 41 37 18 31
3IZ4_A 0.56 0.60 0.53 57 25429 54 26 24 4 38
3IZF_C 0.89 0.91 0.86 32 2603 9 0 5 4 3
3J16_L 0.49 0.52 0.48 11 1136 12 3 9 0 10
3JYV_7 -0.02 0.00 0.00 0 1090 21 4 17 0 20
3JYX_4 0.34 0.58 0.21 7 4722 38 20 7 11 5
3JYX_3 0.77 0.80 0.75 12 2362 26 0 4 22 3
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.84 0.78 0.91 29 2246 8 0 3 5 8
3O58_2 0.87 0.90 0.85 28 2721 13 0 5 8 3
3O58_3 0.41 0.50 0.34 11 4732 35 6 15 14 11
3PDR_A 0.90 0.90 0.90 45 4790 7 2 3 2 5
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.73 0.72 0.75 21 1505 7 4 3 0 8
3UZL_B 0.49 0.50 0.50 8 1277 15 0 8 7 8
4A1C_2 0.18 0.25 0.14 5 4481 43 13 17 13 15
4A1C_3 0.85 0.84 0.86 31 2727 8 0 5 3 6
4AOB_A 0.62 0.62 0.64 18 1409 11 4 6 1 11
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.36 0.33 0.42 5 484 7 0 7 0 10

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Performance of RSpredict(seed) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 238
Total TN 110837
Total FP 161
Total FP CONTRA 28
Total FP INCONS 108
Total FP COMP 25
Total FN 836
Total Scores
MCC 0.372
Average MCC ± 95% Confidence Intervals 0.306 ± 0.107
Sensitivity 0.222
Positive Predictive Value 0.636
Nr of predictions 44

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.89 0.80 1.00 8 166 0 0 0 0 2
2KE6_A 0.85 0.78 0.93 14 452 2 0 1 1 4
2KUR_A 0.86 0.79 0.94 15 451 1 0 1 0 4
2KUU_A 0.85 0.78 0.93 14 432 2 0 1 1 4
2KUV_A 0.85 0.79 0.94 15 423 1 0 1 0 4
2KUW_A 0.75 0.67 0.86 12 456 3 0 2 1 6
2KX8_A -0.01 0.00 0.00 0 370 1 0 1 0 16
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
2L1F_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L94_A 0.55 0.50 0.64 9 343 6 0 5 1 9
2LC8_A -0.03 0.00 0.00 0 515 13 0 13 0 18
2WRQ_Y 0.00 0.00 0.00 0 1150 3 1 1 1 9
2WWQ_V -0.01 0.00 0.00 0 1199 6 0 5 1 19
2XKV_B 0.38 0.36 0.40 4 1825 8 4 2 2 7
2XQD_Y -0.01 0.00 0.00 0 1124 5 0 5 0 21
2XXA_G 0.37 0.20 0.70 7 2035 3 0 3 0 28
2ZZM_B 0.00 0.00 0.00 0 1358 4 0 0 4 15
2ZZN_D 0.38 0.18 0.80 4 979 1 1 0 0 18
3A2K_C -0.01 0.00 0.00 0 1106 2 0 2 0 22
3A3A_A 0.53 0.37 0.79 11 1486 3 0 3 0 19
3AKZ_H -0.01 0.00 0.00 0 1125 2 0 2 0 20
3AMU_B -0.01 0.00 0.00 0 1155 2 0 2 0 19
3GX2_A 0.42 0.21 0.86 6 1442 1 0 1 0 22
3IVN_B 0.81 0.70 0.94 16 886 1 1 0 0 7
3IYQ_A 0.16 0.10 0.26 5 22421 21 10 4 7 46
3IZ4_A 0.26 0.11 0.63 10 25520 7 2 4 1 85
3IZF_C 0.00 0.00 0.00 0 2635 5 0 5 0 35
3J16_L 0.00 0.00 0.00 0 1158 1 0 1 0 21
3JYV_7 -0.01 0.00 0.00 0 1108 4 0 3 1 20
3JYX_4 0.00 0.00 0.00 0 4754 5 0 2 3 12
3JYX_3 0.00 0.00 0.00 0 2373 5 1 4 0 15
3LA5_A 0.82 0.68 1.00 17 937 0 0 0 0 8
3NPB_A -0.01 0.00 0.00 0 2274 4 0 4 0 37
3O58_2 0.00 0.00 0.00 0 2751 3 0 3 0 31
3O58_3 0.28 0.14 0.60 3 4759 2 0 2 0 19
3PDR_A 0.00 0.00 0.00 0 4832 8 0 8 0 50
3RKF_A 0.84 0.75 0.95 18 847 1 1 0 0 6
3SD1_A 0.00 0.00 0.00 0 1533 0 0 0 0 29
3UZL_B -0.01 0.00 0.00 0 1287 6 3 3 0 16
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4AOB_A 0.42 0.21 0.86 6 1430 1 0 1 0 23
4ENB_A 0.34 0.20 0.60 3 467 2 0 2 0 12
4ENC_A 0.34 0.20 0.60 3 491 2 0 2 0 12

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