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 0.667 > 0.316
Average MCC ± 95% Confidence Intervals 0.679 ± 0.073 > 0.246 ± 0.085
Sensitivity 0.701 > 0.179
Positive Predictive Value 0.642 > 0.572
Total TP 1040 > 265
Total TN 146249 < 147405
Total FP 823 > 228
Total FP CONTRA 200 > 37
Total FP INCONS 379 > 161
Total FP COMP 244 > 30
Total FN 444 < 1219
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 1040
Total TN 146249
Total FP 823
Total FP CONTRA 200
Total FP INCONS 379
Total FP COMP 244
Total FN 444
Total Scores
MCC 0.667
Average MCC ± 95% Confidence Intervals 0.679 ± 0.073
Sensitivity 0.701
Positive Predictive Value 0.642
Nr of predictions 60

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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_B 0.96 0.92 1.00 22 769 0 0 0 0 2
2L1F_A 0.95 0.91 1.00 21 742 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
3J20_1 1.00 1.00 1.00 20 1092 3 0 0 3 0
3J20_0 0.51 0.57 0.48 12 1194 14 2 11 1 9
3J2L_3 0.80 0.82 0.78 28 2984 13 1 7 5 6
3J3D_C 0.65 0.74 0.58 14 944 10 5 5 0 5
3J3E_8 0.25 0.33 0.20 5 2717 32 7 13 12 10
3J3E_7 0.79 0.79 0.79 27 2707 12 2 5 5 7
3J3F_8 0.35 0.47 0.26 9 4726 42 13 13 16 10
3J3F_7 0.96 0.97 0.95 35 2897 4 1 1 2 1
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
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.95 0.94 0.97 31 1957 2 0 1 1 2
3ZEX_D 0.91 0.89 0.94 31 2763 6 0 2 4 4
3ZEX_C 0.30 0.34 0.26 10 5336 43 5 23 15 19
3ZND_W 0.24 0.38 0.16 3 1172 25 9 7 9 5
4A1C_3 0.85 0.84 0.86 31 2727 8 0 5 3 6
4A1C_2 0.18 0.25 0.14 5 4481 43 13 17 13 15
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
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15
4FRN_A 0.58 0.57 0.59 16 1821 11 3 8 0 12
4JF2_A 0.69 0.67 0.73 16 1060 6 4 2 0 8

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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 265
Total TN 147405
Total FP 228
Total FP CONTRA 37
Total FP INCONS 161
Total FP COMP 30
Total FN 1219
Total Scores
MCC 0.316
Average MCC ± 95% Confidence Intervals 0.246 ± 0.085
Sensitivity 0.179
Positive Predictive Value 0.572
Nr of predictions 60

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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_B 0.87 0.83 0.91 20 769 2 0 2 0 4
2L1F_A 0.81 0.78 0.86 18 742 3 0 3 0 5
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
3J20_1 -0.01 0.00 0.00 0 1108 5 0 4 1 20
3J20_0 -0.01 0.00 0.00 0 1215 4 0 4 0 21
3J2L_3 0.00 0.00 0.00 0 3015 5 0 5 0 34
3J3D_C -0.01 0.00 0.00 0 964 4 1 3 0 19
3J3E_8 0.00 0.00 0.00 0 2742 0 0 0 0 15
3J3E_7 -0.01 0.00 0.00 0 2733 8 1 7 0 34
3J3F_8 0.19 0.11 0.33 2 4755 5 3 1 1 17
3J3F_7 0.00 0.00 0.00 0 2930 4 1 3 0 36
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
3W1K_J 0.57 0.35 0.92 11 1666 1 0 1 0 20
3W3S_B 0.45 0.36 0.57 12 1968 10 1 8 1 21
3ZEX_D 0.00 0.00 0.00 0 2794 2 0 2 0 35
3ZEX_C 0.13 0.07 0.25 2 5366 6 2 4 0 27
3ZND_W 0.00 0.00 0.00 0 1189 4 0 2 2 8
4A1C_3 0.00 0.00 0.00 0 2759 4 2 2 0 37
4A1C_2 0.00 0.00 0.00 0 4512 5 2 2 1 20
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
4FRG_B -0.01 0.00 0.00 0 1200 2 0 2 0 24
4FRN_A 0.00 0.00 0.00 0 1845 3 0 3 0 28
4JF2_A -0.01 0.00 0.00 0 1078 4 0 4 0 24

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