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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric McQFold RNAsubopt
MCC 0.624 > 0.591
Average MCC ± 95% Confidence Intervals 0.677 ± 0.120 > 0.583 ± 0.119
Sensitivity 0.641 > 0.615
Positive Predictive Value 0.614 > 0.574
Total TP 470 > 451
Total TN 85196 > 85176
Total FP 342 < 404
Total FP CONTRA 117 < 126
Total FP INCONS 179 < 209
Total FP COMP 46 < 69
Total FN 263 < 282
P-value 5.10776592382e-08

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Performance plots


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

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

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Performance of McQFold - scored higher in this pairwise comparison

1. Total counts & total scores for McQFold

Total Base Pair Counts
Total TP 470
Total TN 85196
Total FP 342
Total FP CONTRA 117
Total FP INCONS 179
Total FP COMP 46
Total FN 263
Total Scores
MCC 0.624
Average MCC ± 95% Confidence Intervals 0.677 ± 0.120
Sensitivity 0.641
Positive Predictive Value 0.614
Nr of predictions 28

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2. Individual counts for McQFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KFC_A - 0.79 0.63 1.00 5 231 0 0 0 0 3
2KRL_A - 0.75 0.83 0.68 19 1996 15 7 2 6 4
2LC8_A 0.64 0.61 0.69 11 512 5 1 4 0 7
2RP0_A - 0.84 0.71 1.00 5 111 0 0 0 0 2
2ZZN_D 0.93 0.95 0.91 21 961 2 2 0 0 1
3A2K_C 0.98 0.95 1.00 21 1087 0 0 0 0 1
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 1 0 0 1 1
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
3GX2_A 0.56 0.57 0.57 16 1421 13 4 8 1 12
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 2 17 0 22
3IYQ_A 0.22 0.31 0.15 16 22335 100 45 44 11 35
3IZ4_A 0.46 0.46 0.47 44 25442 56 14 36 6 51
3J0L_a - 0.21 0.18 0.29 2 404 6 3 2 1 9
3JYV_7 -0.02 0.00 0.00 0 1091 20 4 16 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NKB_B - 0.42 0.42 0.44 8 717 10 2 8 0 11
3NPB_A 0.90 0.81 1.00 30 2248 5 0 0 5 7
3O58_3 0.30 0.36 0.25 8 4732 27 15 9 3 14
3PDR_A 0.83 0.80 0.87 40 4794 9 2 4 3 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.82 0.83 0.83 24 1504 5 1 4 0 5
3U4M_B - 0.95 0.91 1.00 20 1256 2 0 0 2 2
4A1C_2 0.19 0.25 0.16 5 4484 33 11 16 6 15
4AOB_A 0.50 0.48 0.54 14 1411 13 3 9 1 15
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.