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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold RNAsubopt
MCC 0.638 > 0.591
Average MCC ± 95% Confidence Intervals 0.648 ± 0.108 > 0.583 ± 0.119
Sensitivity 0.629 > 0.615
Positive Predictive Value 0.653 > 0.574
Total TP 461 > 451
Total TN 85256 > 85176
Total FP 302 < 404
Total FP CONTRA 90 < 126
Total FP INCONS 155 < 209
Total FP COMP 57 < 69
Total FN 272 < 282
P-value 5.1503931209e-08

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Performance plots


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

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

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 461
Total TN 85256
Total FP 302
Total FP CONTRA 90
Total FP INCONS 155
Total FP COMP 57
Total FN 272
Total Scores
MCC 0.638
Average MCC ± 95% Confidence Intervals 0.648 ± 0.108
Sensitivity 0.629
Positive Predictive Value 0.653
Nr of predictions 28

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2. Individual counts for Sfold [ 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 0.46 0.39 0.58 7 516 5 0 5 0 11
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 3 2 0 1 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 - 0.67 0.64 0.72 21 1790 9 0 8 1 12
3GCA_A - 0.84 0.71 1.00 5 153 0 0 0 0 2
3GX2_A 0.86 0.79 0.96 22 1426 2 1 0 1 6
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3IWN_A 0.69 0.68 0.70 19 1445 9 1 7 1 9
3IYQ_A 0.25 0.33 0.19 17 22350 86 39 34 13 34
3IZ4_A 0.59 0.56 0.63 53 25452 34 14 17 3 42
3J0L_a - 0.55 0.64 0.50 7 397 8 5 2 1 4
3JYV_7 -0.02 0.00 0.00 0 1095 16 2 14 0 20
3LA5_A 0.91 0.84 1.00 21 933 0 0 0 0 4
3NKB_B - 0.75 0.74 0.78 14 717 4 0 4 0 5
3NPB_A 0.85 0.78 0.94 29 2247 7 0 2 5 8
3O58_3 0.51 0.50 0.52 11 4743 18 2 8 8 11
3PDR_A 0.82 0.80 0.85 40 4793 9 2 5 2 10
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.78 0.72 0.84 21 1508 4 2 2 0 8
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
4A1C_2 0.21 0.25 0.19 5 4489 34 8 14 12 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 0 0 0 0 4
4ENC_A 0.57 0.33 1.00 5 491 0 0 0 0 10

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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.