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

  1. Overview

  2. Performance Plots

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

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

  5. Compile and download dataset for PknotsRG & RNAshapes [.zip] - may take several seconds...


Overview

Metric PknotsRG RNAshapes
MCC 0.612 > 0.610
Average MCC ± 95% Confidence Intervals 0.654 ± 0.115 > 0.622 ± 0.114
Sensitivity 0.645 > 0.625
Positive Predictive Value 0.586 < 0.602
Total TP 473 > 458
Total TN 85155 < 85201
Total FP 392 > 371
Total FP CONTRA 127 > 103
Total FP INCONS 207 > 200
Total FP COMP 58 < 68
Total FN 260 < 275
P-value 0.800829089439

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Performance plots


  1. Comparison of performance of PknotsRG and RNAshapes. 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 PknotsRG and RNAshapes).

  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 PknotsRG and RNAshapes).

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

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Performance of PknotsRG - scored higher in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 473
Total TN 85155
Total FP 392
Total FP CONTRA 127
Total FP INCONS 207
Total FP COMP 58
Total FN 260
Total Scores
MCC 0.612
Average MCC ± 95% Confidence Intervals 0.654 ± 0.115
Sensitivity 0.645
Positive Predictive Value 0.586
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
2KFC_A - 0.77 0.88 0.70 7 226 3 2 1 0 1
2KRL_A - 0.85 0.87 0.83 20 2000 12 4 0 8 3
2LC8_A 0.66 0.61 0.73 11 513 4 2 2 0 7
2RP0_A - 0.87 1.00 0.78 7 107 2 2 0 0 0
2ZZN_D 0.93 0.95 0.91 21 961 2 2 0 0 1
3A2K_C 0.47 0.50 0.46 11 1084 13 3 10 0 11
3A3A_A 0.97 0.93 1.00 28 1472 0 0 0 0 2
3ADB_C - 0.35 0.36 0.36 12 1786 21 1 20 0 21
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
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
3IWN_A 0.21 0.21 0.24 6 1447 19 1 18 0 22
3IYQ_A 0.24 0.33 0.17 17 22340 94 45 38 11 34
3IZ4_A 0.56 0.60 0.52 57 25426 57 25 28 4 38
3J0L_a - 0.18 0.18 0.22 2 402 8 3 4 1 9
3JYV_7 -0.02 0.00 0.00 0 1089 22 4 18 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NKB_B - 0.69 0.74 0.67 14 714 7 0 7 0 5
3NPB_A 0.93 0.86 1.00 32 2246 4 0 0 4 5
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
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
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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Performance of RNAshapes - scored lower in this pairwise comparison

1. Total counts & total scores for RNAshapes

Total Base Pair Counts
Total TP 458
Total TN 85201
Total FP 371
Total FP CONTRA 103
Total FP INCONS 200
Total FP COMP 68
Total FN 275
Total Scores
MCC 0.610
Average MCC ± 95% Confidence Intervals 0.622 ± 0.114
Sensitivity 0.625
Positive Predictive Value 0.602
Nr of predictions 28

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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
2KFC_A - -0.03 0.00 0.00 0 229 7 1 6 0 8
2KRL_A - 0.91 0.87 0.95 20 2003 9 1 0 8 3
2LC8_A 0.64 0.61 0.69 11 512 5 0 5 0 7
2RP0_A - 0.84 0.71 1.00 5 111 0 0 0 0 2
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
3ADB_C - 0.71 0.70 0.74 23 1788 8 0 8 0 10
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
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
3IWN_A 0.83 0.79 0.88 22 1447 3 1 2 0 6
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
3J0L_a - 0.18 0.18 0.22 2 402 8 3 4 1 9
3JYV_7 -0.02 0.00 0.00 0 1092 20 1 18 1 20
3LA5_A 0.89 0.80 1.00 20 934 0 0 0 0 5
3NKB_B - 0.75 0.74 0.78 14 717 6 0 4 2 5
3NPB_A 0.84 0.76 0.93 28 2248 5 1 1 3 9
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
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
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

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