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 PknotsRG - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(20) PknotsRG
MCC 0.765 > 0.699
Average MCC ± 95% Confidence Intervals 0.787 ± 0.078 > 0.732 ± 0.101
Sensitivity 0.671 < 0.719
Positive Predictive Value 0.875 > 0.684
Total TP 492 < 527
Total TN 77577 > 77369
Total FP 167 < 387
Total FP CONTRA 34 < 75
Total FP INCONS 36 < 168
Total FP COMP 97 < 144
Total FN 241 > 206
P-value 5.10776592382e-08

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Performance plots


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

  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 PknotsRG).

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

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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 492
Total TN 77577
Total FP 167
Total FP CONTRA 34
Total FP INCONS 36
Total FP COMP 97
Total FN 241
Total Scores
MCC 0.765
Average MCC ± 95% Confidence Intervals 0.787 ± 0.078
Sensitivity 0.671
Positive Predictive Value 0.875
Nr of predictions 28

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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 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 0.94 0.94 0.94 17 339 2 0 1 1 1
2WRQ_Y 1.00 1.00 1.00 9 1143 14 0 0 14 0
2XKV_B 0.60 0.36 1.00 4 1831 2 0 0 2 7
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.34 0.11 1.00 4 2041 0 0 0 0 31
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
3AMU_B 0.95 0.95 0.95 18 1138 4 0 1 3 1
3G4S_9 0.73 0.54 1.00 14 2722 4 0 0 4 12
3GX2_A 0.88 0.79 1.00 22 1427 1 0 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.52 0.41 0.65 39 25476 26 15 6 5 56
3IZF_C 0.92 0.86 1.00 30 2610 2 0 0 2 5
3JYV_7 0.97 0.95 1.00 19 1092 2 0 0 2 1
3JYX_3 0.70 0.60 0.82 9 2367 14 0 2 12 6
3JYX_4 0.61 0.83 0.45 10 4734 26 10 2 14 2
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NPB_A 0.75 0.57 1.00 21 2257 5 0 0 5 16
3O58_2 0.93 0.87 1.00 27 2727 5 0 0 5 4
3O58_3 0.51 0.50 0.52 11 4743 19 5 5 9 11
3PDR_A 0.84 0.76 0.93 38 4799 5 1 2 2 12
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.81 0.69 0.95 20 1512 1 0 1 0 9
4A1C_3 0.90 0.81 1.00 30 2733 0 0 0 0 7
4A1C_2 0.24 0.25 0.24 5 4495 30 3 13 14 15
4AOB_A 0.70 0.59 0.85 17 1417 4 0 3 1 12
4ENB_A 0.68 0.47 1.00 7 465 0 0 0 0 8
4ENC_A 0.85 0.73 1.00 11 485 0 0 0 0 4

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Performance of PknotsRG - scored lower in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 527
Total TN 77369
Total FP 387
Total FP CONTRA 75
Total FP INCONS 168
Total FP COMP 144
Total FN 206
Total Scores
MCC 0.699
Average MCC ± 95% Confidence Intervals 0.732 ± 0.101
Sensitivity 0.719
Positive Predictive Value 0.684
Nr of predictions 28

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2. Individual counts for PknotsRG [ 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 0.94 0.89 1.00 8 1144 14 0 0 14 1
2XKV_B 0.64 0.73 0.57 8 1821 24 0 6 18 3
2XQD_Y 0.98 0.95 1.00 20 1109 1 0 0 1 1
2XXA_G 0.35 0.34 0.38 12 2013 21 1 19 1 23
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 0.83 0.85 0.81 22 2709 12 2 3 7 4
3GX2_A 0.80 0.79 0.81 22 1422 6 2 3 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IZ4_A 0.56 0.60 0.52 57 25426 57 25 28 4 38
3IZF_C 0.75 0.77 0.73 27 2603 15 0 10 5 8
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3JYX_3 0.77 0.80 0.75 12 2362 27 0 4 23 3
3JYX_4 0.61 0.83 0.45 10 4734 33 10 2 21 2
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NPB_A 0.93 0.86 1.00 32 2246 4 0 0 4 5
3O58_2 0.72 0.74 0.70 23 2721 19 0 10 9 8
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 4480 43 11 20 12 15
4AOB_A 0.60 0.59 0.63 17 1410 11 4 6 1 12
4ENB_A 1.00 1.00 1.00 15 457 0 0 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0

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