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 RNAshapes - scored lower in this pairwise comparison

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


Overview

Metric Sfold RNAshapes
MCC 0.638 > 0.610
Average MCC ± 95% Confidence Intervals 0.648 ± 0.108 > 0.622 ± 0.114
Sensitivity 0.629 > 0.625
Positive Predictive Value 0.653 > 0.602
Total TP 461 > 458
Total TN 85256 > 85201
Total FP 302 < 371
Total FP CONTRA 90 < 103
Total FP INCONS 155 < 200
Total FP COMP 57 < 68
Total FN 272 < 275
P-value 3.56938820447e-08

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Performance plots


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

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

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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 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.