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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(20) RNAsubopt
MCC 0.640 > 0.545
Average MCC ± 95% Confidence Intervals 0.667 ± 0.075 > 0.559 ± 0.098
Sensitivity 0.491 > 0.486
Positive Predictive Value 0.839 > 0.616
Total TP 483 > 478
Total TN 198829 > 198629
Total FP 147 < 346
Total FP CONTRA 21 < 48
Total FP INCONS 72 < 250
Total FP COMP 54 > 48
Total FN 501 < 506
P-value 5.23657817852e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 483
Total TN 198829
Total FP 147
Total FP CONTRA 21
Total FP INCONS 72
Total FP COMP 54
Total FN 501
Total Scores
MCC 0.640
Average MCC ± 95% Confidence Intervals 0.667 ± 0.075
Sensitivity 0.491
Positive Predictive Value 0.839
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2WRQ_Y 0.57 0.59 0.56 10 2832 13 5 3 5 7
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
3A2K_C 0.86 0.75 1.00 21 2905 0 0 0 0 7
3AMU_B 0.82 0.70 0.95 19 2983 3 0 1 2 8
3G4S_9 0.50 0.28 0.89 16 7363 2 1 1 0 41
3GX2_A 0.74 0.55 1.00 22 4349 1 0 0 1 18
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3IZ4_A 0.47 0.32 0.69 42 70815 23 6 13 4 90
3IZF_C 0.74 0.57 0.97 31 6871 1 0 1 0 23
3JYV_7 0.81 0.66 1.00 21 2829 0 0 0 0 11
3JYX_3 0.58 0.44 0.75 12 6312 11 0 4 7 15
3JYX_4 0.32 0.30 0.34 10 12217 26 4 15 7 23
3LA5_A 0.76 0.59 1.00 20 2465 0 0 0 0 14
3NPB_A 0.68 0.48 0.96 22 6998 4 1 0 3 24
3O58_2 0.79 0.71 0.87 27 7229 5 2 2 1 11
3O58_3 0.43 0.34 0.55 12 12381 18 2 8 8 23
3PDR_A 0.70 0.53 0.93 38 12839 5 0 3 2 34
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.67 0.48 0.95 20 3895 1 0 1 0 22
4A1C_3 0.74 0.56 1.00 30 7110 0 0 0 0 24
4A1C_2 0.18 0.15 0.23 5 11759 30 0 17 13 28
4AOB_A 0.58 0.40 0.85 17 4351 4 0 3 1 25
4ENB_A 0.60 0.37 1.00 7 1268 0 0 0 0 12
4ENC_A 0.76 0.58 1.00 11 1315 0 0 0 0 8

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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 478
Total TN 198629
Total FP 346
Total FP CONTRA 48
Total FP INCONS 250
Total FP COMP 48
Total FN 506
Total Scores
MCC 0.545
Average MCC ± 95% Confidence Intervals 0.559 ± 0.098
Sensitivity 0.486
Positive Predictive Value 0.616
Nr of predictions 25

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
2WRQ_Y 0.57 0.59 0.56 10 2832 12 5 3 4 7
2XQD_Y 0.75 0.67 0.86 18 2829 3 0 3 0 9
3A2K_C 0.42 0.39 0.46 11 2902 13 2 11 0 17
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3G4S_9 0.28 0.23 0.35 13 7344 24 1 23 0 44
3GX2_A 0.44 0.38 0.54 15 4343 14 1 12 1 25
3IVN_B 0.76 0.58 1.00 18 2328 0 0 0 0 13
3IZ4_A 0.51 0.47 0.56 62 70766 49 8 40 1 70
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3JYV_7 -0.01 0.00 0.00 0 2829 21 0 21 0 32
3JYX_3 0.63 0.63 0.63 17 6301 21 1 9 11 10
3JYX_4 0.19 0.21 0.17 7 12204 38 11 24 3 26
3LA5_A 0.78 0.62 1.00 21 2464 0 0 0 0 13
3NPB_A 0.75 0.65 0.86 30 6986 7 1 4 2 16
3O58_2 0.72 0.74 0.70 28 7220 13 4 8 1 10
3O58_3 0.34 0.34 0.34 12 12368 34 2 21 11 23
3PDR_A 0.75 0.63 0.90 45 12830 7 1 4 2 27
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.61 0.50 0.75 21 3888 7 1 6 0 21
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.13 5 11742 43 5 29 9 28
4AOB_A 0.52 0.43 0.64 18 4343 11 2 8 1 24
4ENB_A 0.70 0.58 0.85 11 1262 2 1 1 0 8
4ENC_A 0.32 0.26 0.42 5 1314 7 0 7 0 14

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