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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNAshapes RSpredict(seed)
MCC 0.680 > 0.316
Average MCC ± 95% Confidence Intervals 0.704 ± 0.070 > 0.246 ± 0.085
Sensitivity 0.703 > 0.179
Positive Predictive Value 0.663 > 0.572
Total TP 1043 > 265
Total TN 146296 < 147405
Total FP 775 > 228
Total FP CONTRA 160 > 37
Total FP INCONS 369 > 161
Total FP COMP 246 > 30
Total FN 441 < 1219
P-value 3.56938820447e-08

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Performance plots


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

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

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Performance of RNAshapes - scored higher in this pairwise comparison

1. Total counts & total scores for RNAshapes

Total Base Pair Counts
Total TP 1043
Total TN 146296
Total FP 775
Total FP CONTRA 160
Total FP INCONS 369
Total FP COMP 246
Total FN 441
Total Scores
MCC 0.680
Average MCC ± 95% Confidence Intervals 0.704 ± 0.070
Sensitivity 0.703
Positive Predictive Value 0.663
Nr of predictions 60

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2. Individual counts for RNAshapes [ 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 1.00 1.00 1.00 18 449 1 0 0 1 0
2KUR_A 1.00 1.00 1.00 19 448 0 0 0 0 0
2KUU_A 1.00 1.00 1.00 18 429 1 0 0 1 0
2KUV_A 1.00 1.00 1.00 19 420 0 0 0 0 0
2KUW_A 1.00 1.00 1.00 18 452 1 0 0 1 0
2KX8_A 0.97 0.94 1.00 15 356 0 0 0 0 1
2L1F_B 0.98 0.96 1.00 23 768 0 0 0 0 1
2L1F_A 0.89 0.87 0.91 20 741 2 0 2 0 3
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 0 7
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 24 0 6 18 3
2XQD_Y 0.70 0.67 0.74 14 1110 6 0 5 1 7
2XXA_G 1.00 1.00 1.00 35 2010 1 0 0 1 0
2ZZM_B 0.05 0.07 0.06 1 1340 25 4 13 8 14
2ZZN_D 0.77 0.77 0.77 17 962 5 1 4 0 5
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.84 0.80 0.89 24 1473 3 0 3 0 6
3AKZ_H 0.78 0.80 0.76 16 1106 7 2 3 2 4
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3GX2_A 0.91 0.89 0.93 25 1422 3 1 1 1 3
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IYQ_A 0.19 0.27 0.14 14 22340 95 43 43 9 37
3IZ4_A 0.57 0.58 0.56 55 25437 50 16 28 6 40
3IZF_C 0.76 0.77 0.75 27 2604 14 0 9 5 8
3J16_L 0.59 0.57 0.63 12 1140 7 0 7 0 9
3J20_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J20_0 0.51 0.57 0.48 12 1194 14 3 10 1 9
3J2L_3 0.77 0.79 0.75 27 2984 14 1 8 5 7
3J3D_C 0.63 0.68 0.59 13 946 9 3 6 0 6
3J3E_8 0.26 0.33 0.21 5 2718 29 6 13 10 10
3J3E_7 0.64 0.65 0.65 22 2707 16 1 11 4 12
3J3F_8 0.33 0.42 0.26 8 4730 42 11 12 19 11
3J3F_7 0.83 0.81 0.85 29 2900 7 0 5 2 7
3JYV_7 -0.02 0.00 0.00 0 1092 20 1 18 1 20
3JYX_4 0.61 0.83 0.45 10 4734 35 10 2 23 2
3JYX_3 0.77 0.80 0.75 12 2362 26 0 4 22 3
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.84 0.76 0.93 28 2248 5 1 1 3 9
3O58_2 0.73 0.74 0.72 23 2722 18 0 9 9 8
3O58_3 0.41 0.50 0.34 11 4732 38 6 15 17 11
3PDR_A 0.80 0.80 0.80 40 4790 12 3 7 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.77 0.76 0.79 22 1505 6 4 2 0 7
3UZL_B 0.43 0.50 0.38 8 1272 17 4 9 4 8
3W1K_J 0.97 0.97 0.97 30 1647 1 1 0 0 1
3W3S_B 0.60 0.58 0.63 19 1959 12 2 9 1 14
3ZEX_D 0.86 0.80 0.93 28 2766 6 0 2 4 7
3ZEX_C 0.29 0.34 0.26 10 5335 42 5 24 13 19
3ZND_W 0.24 0.38 0.16 3 1172 24 9 7 8 5
4A1C_3 0.86 0.84 0.89 31 2728 7 0 4 3 6
4A1C_2 0.19 0.25 0.16 5 4484 41 11 16 14 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 0.85 0.73 1.00 11 461 2 0 0 2 4
4ENC_A 0.37 0.33 0.45 5 485 7 0 6 1 10
4FRG_B 0.36 0.38 0.38 9 1178 15 2 13 0 15
4FRN_A 0.59 0.57 0.62 16 1822 10 2 8 0 12
4JF2_A 0.89 0.79 1.00 19 1063 0 0 0 0 5

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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.