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 RNAsubopt - scored lower in this pairwise comparison

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


Overview

Metric PknotsRG RNAsubopt
MCC 0.612 > 0.591
Average MCC ± 95% Confidence Intervals 0.654 ± 0.115 > 0.583 ± 0.119
Sensitivity 0.645 > 0.615
Positive Predictive Value 0.586 > 0.574
Total TP 473 > 451
Total TN 85155 < 85176
Total FP 392 < 404
Total FP CONTRA 127 > 126
Total FP INCONS 207 < 209
Total FP COMP 58 < 69
Total FN 260 < 282
P-value 6.07491858776e-08

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Performance plots


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

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

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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 RNAsubopt - scored lower in this pairwise comparison

1. Total counts & total scores for RNAsubopt

Total Base Pair Counts
Total TP 451
Total TN 85176
Total FP 404
Total FP CONTRA 126
Total FP INCONS 209
Total FP COMP 69
Total FN 282
Total Scores
MCC 0.591
Average MCC ± 95% Confidence Intervals 0.583 ± 0.119
Sensitivity 0.615
Positive Predictive Value 0.574
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
2KFC_A - -0.03 0.00 0.00 0 229 7 1 6 0 8
2KRL_A - 0.62 0.61 0.64 14 2002 15 5 3 7 9
2LC8_A -0.03 0.00 0.00 0 513 15 3 12 0 18
2RP0_A - 0.84 0.71 1.00 5 111 0 0 0 0 2
2ZZN_D 0.52 0.55 0.52 12 961 11 3 8 0 10
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 - 0.98 0.97 1.00 32 1787 0 0 0 0 1
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
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
3IWN_A 0.69 0.68 0.70 19 1445 9 1 7 1 9
3IYQ_A 0.28 0.39 0.20 20 22342 96 41 37 18 31
3IZ4_A 0.56 0.60 0.53 57 25429 54 26 24 4 38
3J0L_a - 0.35 0.36 0.36 4 400 8 3 4 1 7
3JYV_7 -0.02 0.00 0.00 0 1090 21 4 17 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NKB_B - 0.66 0.68 0.65 13 715 7 0 7 0 6
3NPB_A 0.84 0.78 0.91 29 2246 8 0 3 5 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
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
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.