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

  1. Overview

  2. Performance Plots

  3. Performance of RNAalifold(seed) - scored higher in this pairwise comparison

  4. Performance of RNASampler(seed) - scored lower in this pairwise comparison

  5. Compile and download dataset for RNAalifold(seed) & RNASampler(seed) [.zip] - may take several seconds...


Overview

Metric RNAalifold(seed) RNASampler(seed)
MCC 0.503 > 0.482
Average MCC ± 95% Confidence Intervals 0.470 ± 0.128 < 0.494 ± 0.152
Sensitivity 0.295 < 0.342
Positive Predictive Value 0.863 > 0.684
Total TP 138 < 160
Total TN 91892 > 91818
Total FP 27 < 107
Total FP CONTRA 4 < 8
Total FP INCONS 18 < 66
Total FP COMP 5 < 33
Total FN 330 > 308
P-value 1.32883086441e-08

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Performance plots


  1. Comparison of performance of RNAalifold(seed) and RNASampler(seed). 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 RNAalifold(seed) and RNASampler(seed)).

  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 RNAalifold(seed) and RNASampler(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) and RNASampler(seed). 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 RNAalifold(seed) and RNASampler(seed)).

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Performance of RNAalifold(seed) - scored higher in this pairwise comparison

1. Total counts & total scores for RNAalifold(seed)

Total Base Pair Counts
Total TP 138
Total TN 91892
Total FP 27
Total FP CONTRA 4
Total FP INCONS 18
Total FP COMP 5
Total FN 330
Total Scores
MCC 0.503
Average MCC ± 95% Confidence Intervals 0.470 ± 0.128
Sensitivity 0.295
Positive Predictive Value 0.863
Nr of predictions 14

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2. Individual counts for RNAalifold(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.52 0.27 1.00 3 403 0 0 0 0 8
2LC8_A -0.01 0.00 0.00 0 1528 12 0 12 0 20
3A3A_A 0.71 0.51 1.00 19 3636 0 0 0 0 18
3IVN_B 0.61 0.48 0.79 15 2327 4 2 2 0 16
3J3E_8 0.00 0.00 0.00 0 7503 0 0 0 0 33
3J3F_8 0.50 0.25 1.00 9 12237 0 0 0 0 27
3JYX_4 0.46 0.21 1.00 7 12239 2 0 0 2 26
3O58_3 0.51 0.26 1.00 9 12394 0 0 0 0 26
3RKF_A 0.63 0.47 0.84 16 2192 3 1 2 0 18
3SD1_A 0.58 0.40 0.85 17 3896 3 1 2 0 25
3W3S_B 0.67 0.45 1.00 18 4735 1 0 0 1 22
3ZEX_C 0.42 0.17 1.00 9 14187 0 0 0 0 43
4A1C_2 0.39 0.15 1.00 5 11776 2 0 0 2 28
4JF2_A 0.59 0.35 1.00 11 2839 0 0 0 0 20

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Performance of RNASampler(seed) - scored lower in this pairwise comparison

1. Total counts & total scores for RNASampler(seed)

Total Base Pair Counts
Total TP 160
Total TN 91818
Total FP 107
Total FP CONTRA 8
Total FP INCONS 66
Total FP COMP 33
Total FN 308
Total Scores
MCC 0.482
Average MCC ± 95% Confidence Intervals 0.494 ± 0.152
Sensitivity 0.342
Positive Predictive Value 0.684
Nr of predictions 14

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2. Individual counts for RNASampler(seed) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.95 0.91 1.00 10 396 0 0 0 0 1
2LC8_A -0.01 0.00 0.00 0 1530 10 0 10 0 20
3A3A_A 0.70 0.49 1.00 18 3637 0 0 0 0 19
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
3J3E_8 0.12 0.09 0.17 3 7485 22 2 13 7 30
3J3F_8 0.44 0.33 0.57 12 12225 15 1 8 6 24
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
3W3S_B 0.55 0.30 1.00 12 4741 1 0 0 1 28
3ZEX_C 0.32 0.19 0.53 10 14177 13 1 8 4 42
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25
4JF2_A 0.57 0.32 1.00 10 2840 0 0 0 0 21

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