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(20) - scored lower in this pairwise comparison

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


Overview

Metric RNAshapes RSpredict(20)
MCC 0.703 > 0.663
Average MCC ± 95% Confidence Intervals 0.716 ± 0.100 > 0.653 ± 0.116
Sensitivity 0.709 > 0.593
Positive Predictive Value 0.703 < 0.748
Total TP 501 > 419
Total TN 74690 < 74843
Total FP 359 > 230
Total FP CONTRA 60 < 61
Total FP INCONS 152 > 80
Total FP COMP 147 > 89
Total FN 206 < 288
P-value 5.54865340847e-08

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Performance plots


  1. Comparison of performance of RNAshapes and RSpredict(20). 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(20)).

  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(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAshapes and RSpredict(20). 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(20)).

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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 501
Total TN 74690
Total FP 359
Total FP CONTRA 60
Total FP INCONS 152
Total FP COMP 147
Total FN 206
Total Scores
MCC 0.703
Average MCC ± 95% Confidence Intervals 0.716 ± 0.100
Sensitivity 0.709
Positive Predictive Value 0.703
Nr of predictions 27

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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
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 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
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
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
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
3JYV_7 -0.02 0.00 0.00 0 1092 20 1 18 1 20
3JYX_3 0.77 0.80 0.75 12 2362 26 0 4 22 3
3JYX_4 0.61 0.83 0.45 10 4734 35 10 2 23 2
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
4A1C_2 0.19 0.25 0.16 5 4484 41 11 16 14 15
4A1C_3 0.86 0.84 0.89 31 2728 7 0 4 3 6
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

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Performance of RSpredict(20) - scored lower in this pairwise comparison

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

Total Base Pair Counts
Total TP 419
Total TN 74843
Total FP 230
Total FP CONTRA 61
Total FP INCONS 80
Total FP COMP 89
Total FN 288
Total Scores
MCC 0.663
Average MCC ± 95% Confidence Intervals 0.653 ± 0.116
Sensitivity 0.593
Positive Predictive Value 0.748
Nr of predictions 27

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2. Individual counts for RSpredict(20) [ 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
2L94_A 0.53 0.50 0.60 9 342 7 0 6 1 9
2WRQ_Y 1.00 1.00 1.00 9 1143 12 0 0 12 0
2XKV_B 0.00 0.00 0.00 0 1831 4 1 3 0 11
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.50 0.26 1.00 9 2036 0 0 0 0 26
3A2K_C 0.88 0.86 0.90 19 1087 2 0 2 0 3
3AMU_B 0.69 0.53 0.91 10 1146 2 0 1 1 9
3GX2_A 0.40 0.21 0.75 6 1441 2 1 1 0 22
3IVN_B 0.91 0.87 0.95 20 882 1 1 0 0 3
3IZ4_A 0.61 0.57 0.67 54 25455 38 13 14 11 41
3IZF_C 0.94 0.91 0.97 32 2607 4 0 1 3 3
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.80 0.80 0.80 12 2363 16 0 3 13 3
3JYX_4 0.59 0.75 0.47 9 4737 33 9 1 23 3
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A -0.01 0.00 0.00 0 2272 6 1 5 0 37
3O58_2 0.93 0.94 0.94 29 2723 10 0 2 8 2
3O58_3 0.38 0.50 0.30 11 4727 29 15 11 3 11
3PDR_A 0.80 0.70 0.92 35 4802 5 1 2 2 15
3RKF_A 0.91 0.88 0.95 21 844 1 1 0 0 3
3SD1_A 0.82 0.86 0.78 25 1501 7 5 2 0 4
4A1C_2 0.25 0.30 0.21 6 4487 30 12 11 7 14
4A1C_3 0.60 0.49 0.75 18 2739 8 0 6 2 19
4AOB_A 0.33 0.21 0.55 6 1426 5 1 4 0 23
4ENB_A 0.54 0.40 0.75 6 464 2 0 2 0 9
4ENC_A 0.51 0.40 0.67 6 487 3 0 3 0 9

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