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

  1. Overview

  2. Performance Plots

  3. Performance of Carnac(20) - scored higher in this pairwise comparison

  4. Performance of RNAsubopt - scored lower in this pairwise comparison

  5. Compile and download dataset for Carnac(20) & RNAsubopt [.zip] - may take several seconds...


Overview

Metric Carnac(20) RNAsubopt
MCC 0.696 > 0.663
Average MCC ± 95% Confidence Intervals 0.652 ± 0.113 < 0.680 ± 0.104
Sensitivity 0.518 < 0.686
Positive Predictive Value 0.941 > 0.647
Total TP 380 < 503
Total TN 77735 > 77362
Total FP 75 < 407
Total FP CONTRA 6 < 94
Total FP INCONS 18 < 180
Total FP COMP 51 < 133
Total FN 353 > 230
P-value 5.06544643719e-08

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Performance plots


  1. Comparison of performance of Carnac(20) and RNAsubopt. 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 Carnac(20) and RNAsubopt).

  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 Carnac(20) and RNAsubopt).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Carnac(20) and RNAsubopt. 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 Carnac(20) and RNAsubopt).

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Performance of Carnac(20) - scored higher in this pairwise comparison

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

Total Base Pair Counts
Total TP 380
Total TN 77735
Total FP 75
Total FP CONTRA 6
Total FP INCONS 18
Total FP COMP 51
Total FN 353
Total Scores
MCC 0.696
Average MCC ± 95% Confidence Intervals 0.652 ± 0.113
Sensitivity 0.518
Positive Predictive Value 0.941
Nr of predictions 28

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.77 0.60 1.00 6 168 0 0 0 0 4
2L94_A 0.00 0.00 0.00 0 357 0 0 0 0 18
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.43 0.18 1.00 2 1833 1 0 0 1 9
2XQD_Y 0.87 0.76 1.00 16 1113 1 0 0 1 5
2XXA_G 0.29 0.09 1.00 3 2042 0 0 0 0 32
3A2K_C 0.88 0.77 1.00 17 1091 0 0 0 0 5
3AMU_B 0.79 0.79 0.79 15 1138 7 0 4 3 4
3G4S_9 0.73 0.54 1.00 14 2722 4 0 0 4 12
3GX2_A 0.68 0.46 1.00 13 1436 0 0 0 0 15
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.31 0.88 29 25503 4 3 1 0 66
3IZF_C 0.91 0.83 1.00 29 2611 2 0 0 2 6
3JYV_7 0.81 0.70 0.93 14 1096 3 0 1 2 6
3JYX_3 0.83 0.80 0.86 12 2364 13 0 2 11 3
3JYX_4 0.76 0.58 1.00 7 4749 2 0 0 2 5
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.46 0.22 1.00 8 2270 3 0 0 3 29
3O58_2 0.93 0.87 1.00 27 2727 2 0 0 2 4
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
3PDR_A 0.75 0.58 0.97 29 4810 3 1 0 2 21
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
4A1C_3 0.79 0.73 0.87 27 2732 5 0 4 1 10
4A1C_2 0.42 0.25 0.71 5 4509 3 0 2 1 15
4AOB_A 0.59 0.48 0.74 14 1418 6 2 3 1 15
4ENB_A 0.00 0.00 0.00 0 472 0 0 0 0 15
4ENC_A 0.00 0.00 0.00 0 496 0 0 0 0 15

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Performance of RNAsubopt - scored lower in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 503
Total TN 77362
Total FP 407
Total FP CONTRA 94
Total FP INCONS 180
Total FP COMP 133
Total FN 230
Total Scores
MCC 0.663
Average MCC ± 95% Confidence Intervals 0.680 ± 0.104
Sensitivity 0.686
Positive Predictive Value 0.647
Nr of predictions 28

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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
2L94_A 1.00 1.00 1.00 18 339 1 0 0 1 0
2WRQ_Y 1.00 1.00 1.00 9 1143 13 0 0 13 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
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3AMU_B 0.81 0.79 0.83 15 1139 6 0 3 3 4
3G4S_9 0.41 0.46 0.38 12 2704 25 7 13 5 14
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
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
3JYV_7 -0.02 0.00 0.00 0 1090 21 4 17 0 20
3JYX_3 0.77 0.80 0.75 12 2362 26 0 4 22 3
3JYX_4 0.34 0.58 0.21 7 4722 38 20 7 11 5
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
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

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