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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Murlet(seed) RNASLOpt
MCC 0.556 > 0.479
Average MCC ± 95% Confidence Intervals 0.543 ± 0.095 > 0.472 ± 0.071
Sensitivity 0.366 < 0.466
Positive Predictive Value 0.846 > 0.494
Total TP 840 < 1068
Total TN 1200285 > 1199116
Total FP 205 < 1204
Total FP CONTRA 9 < 217
Total FP INCONS 144 < 877
Total FP COMP 52 < 110
Total FN 1454 > 1226
P-value 5.10776592382e-08

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Performance plots


  1. Comparison of performance of Murlet(seed) and RNASLOpt. 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 Murlet(seed) and RNASLOpt).

  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 Murlet(seed) and RNASLOpt).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(seed) and RNASLOpt. 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 Murlet(seed) and RNASLOpt).

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

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

Total Base Pair Counts
Total TP 840
Total TN 1200285
Total FP 205
Total FP CONTRA 9
Total FP INCONS 144
Total FP COMP 52
Total FN 1454
Total Scores
MCC 0.556
Average MCC ± 95% Confidence Intervals 0.543 ± 0.095
Sensitivity 0.366
Positive Predictive Value 0.846
Nr of predictions 29

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00606 0.00 0.00 0.00 0 21321 0 0 0 0 39
RFA_00620 0.00 0.00 0.00 0 21945 0 0 0 0 39
RFA_00626 0.81 0.66 1.00 57 56559 4 0 0 4 30
RFA_00627 0.84 0.70 1.00 61 56892 5 0 0 5 26
RFA_00628 0.83 0.69 1.00 59 57232 8 0 0 8 27
RFA_00630 0.82 0.67 1.00 58 56895 4 0 0 4 29
RFA_00639 0.21 0.11 0.40 10 54590 15 4 11 0 77
RFA_00814 0.75 0.63 0.90 26 25171 4 0 3 1 15
RFA_00815 0.83 0.68 1.00 28 24503 1 0 0 1 13
RFA_00816 0.75 0.63 0.90 26 23191 4 0 3 1 15
RFA_00817 0.83 0.68 1.00 28 21917 1 0 0 1 13
RFA_00818 0.83 0.68 1.00 28 20273 1 0 0 1 13
RFA_00819 0.83 0.68 1.00 28 27938 0 0 0 0 13
SRP_00079 0.54 0.33 0.88 29 41872 6 0 4 2 59
SRP_00124 0.15 0.09 0.24 8 37094 27 3 23 1 77
SRP_00182 0.59 0.35 1.00 35 46021 1 0 0 1 66
SRP_00197 0.47 0.28 0.80 28 49420 8 0 7 1 73
SRP_00198 0.47 0.27 0.82 28 51006 7 0 6 1 75
SRP_00199 0.47 0.24 0.93 25 51013 3 0 2 1 80
SRP_00202 0.48 0.25 0.94 29 54254 2 0 2 0 88
SRP_00241 0.51 0.33 0.79 27 46022 9 0 7 2 55
SRP_00255 0.65 0.43 1.00 40 47546 2 0 0 2 54
SRP_00260 0.21 0.14 0.33 14 47852 29 1 28 0 86
SRP_00278 0.53 0.30 0.94 31 46023 3 0 2 1 74
SRP_00322 0.44 0.25 0.79 27 48482 8 0 7 1 82
SRP_00328 0.49 0.34 0.71 29 39580 16 1 11 4 56
SRP_00329 0.50 0.34 0.73 29 39863 16 0 11 5 56
SRP_00339 0.49 0.32 0.77 30 44512 9 0 9 0 64
SRP_00340 0.44 0.27 0.73 22 41298 12 0 8 4 60

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Performance of RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 1068
Total TN 1199116
Total FP 1204
Total FP CONTRA 217
Total FP INCONS 877
Total FP COMP 110
Total FN 1226
Total Scores
MCC 0.479
Average MCC ± 95% Confidence Intervals 0.472 ± 0.071
Sensitivity 0.466
Positive Predictive Value 0.494
Nr of predictions 29

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00606 0.18 0.18 0.18 7 21281 39 4 29 6 32
RFA_00620 0.66 0.64 0.68 25 21908 22 2 10 10 14
RFA_00626 0.68 0.64 0.72 56 56538 30 6 16 8 31
RFA_00627 0.61 0.60 0.62 52 56869 41 11 21 9 35
RFA_00628 0.89 0.84 0.95 72 57215 15 0 4 11 14
RFA_00630 0.69 0.67 0.72 58 56872 32 5 18 9 29
RFA_00639 0.29 0.29 0.29 25 54528 67 12 50 5 62
RFA_00814 0.51 0.51 0.51 21 25159 29 9 11 9 20
RFA_00815 0.41 0.41 0.41 17 24490 31 1 23 7 24
RFA_00816 0.58 0.63 0.53 26 23171 26 13 10 3 15
RFA_00817 0.24 0.27 0.22 11 21896 42 12 26 4 30
RFA_00818 0.21 0.22 0.21 9 20258 39 14 20 5 32
RFA_00819 0.60 0.68 0.53 28 27913 34 16 9 9 13
SRP_00079 0.62 0.57 0.68 50 41832 24 3 20 1 38
SRP_00124 0.39 0.36 0.43 31 37056 41 8 33 0 54
SRP_00182 0.54 0.51 0.57 52 45965 39 11 28 0 49
SRP_00197 0.23 0.21 0.25 21 49370 64 9 55 0 80
SRP_00198 0.41 0.38 0.45 39 50954 47 5 42 0 64
SRP_00199 0.24 0.23 0.26 24 50949 67 3 64 0 81
SRP_00202 0.52 0.49 0.56 57 54184 44 6 38 0 60
SRP_00241 0.26 0.27 0.26 22 45970 66 14 50 2 60
SRP_00255 0.29 0.30 0.29 28 47489 69 11 58 0 66
SRP_00260 0.69 0.66 0.72 66 47803 28 8 18 2 34
SRP_00278 0.68 0.65 0.72 68 45961 29 4 23 2 37
SRP_00322 0.57 0.54 0.61 59 48419 38 1 37 0 50
SRP_00328 0.60 0.60 0.61 51 39537 36 7 26 3 34
SRP_00329 0.34 0.32 0.36 27 39829 50 4 43 3 58
SRP_00339 0.44 0.43 0.45 40 44462 51 6 43 2 54
SRP_00340 0.30 0.32 0.29 26 41238 64 12 52 0 56

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