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

  1. Overview

  2. Performance Plots

  3. Performance of RSpredict(20) - scored higher in this pairwise comparison

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

  5. Compile and download dataset for RSpredict(20) & Carnac(seed) [.zip] - may take several seconds...


Overview

Metric RSpredict(20) Carnac(seed)
MCC 0.088 > 0.000
Average MCC ± 95% Confidence Intervals 0.087 ± 0.061 > 0.000 ± 0.000
Sensitivity 0.080 > 0.000
Positive Predictive Value 0.100 > 0.000
Total TP 106 > 0
Total TN 737014 < 738075
Total FP 983 > 0
Total FP CONTRA 103 > 0
Total FP INCONS 852 > 0
Total FP COMP 28 > 0
Total FN 1218 < 1324
P-value 2.54914456376e-08

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Performance plots


  1. Comparison of performance of RSpredict(20) and Carnac(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 RSpredict(20) and Carnac(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 RSpredict(20) and Carnac(seed)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RSpredict(20) and Carnac(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 RSpredict(20) and Carnac(seed)).

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Performance of RSpredict(20) - scored higher in this pairwise comparison

1. Total counts & total scores for RSpredict(20)

Total Base Pair Counts
Total TP 106
Total TN 737014
Total FP 983
Total FP CONTRA 103
Total FP INCONS 852
Total FP COMP 28
Total FN 1218
Total Scores
MCC 0.088
Average MCC ± 95% Confidence Intervals 0.087 ± 0.061
Sensitivity 0.080
Positive Predictive Value 0.100
Nr of predictions 13

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2. Individual counts for RSpredict(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00599 0.00 0.00 0.00 0 101404 84 13 58 13 111
RFA_00601 0.00 0.00 0.00 0 99153 84 11 71 2 114
RFA_00602 0.00 0.00 0.00 0 101402 74 17 56 1 116
SRP_00011 0.18 0.16 0.20 17 46277 69 3 63 3 87
SRP_00015 0.21 0.20 0.22 20 46271 70 10 59 1 79
SRP_00152 0.20 0.18 0.21 19 45663 73 7 64 2 84
SRP_00178 0.00 0.00 0.00 0 45670 83 3 80 0 102
SRP_00179 0.00 0.00 0.00 0 45966 90 5 85 0 105
SRP_00181 0.00 0.00 0.00 0 45970 86 6 80 0 102
SRP_00182 0.24 0.23 0.26 23 45968 67 5 60 2 78
SRP_00184 0.19 0.18 0.21 18 45972 70 6 60 4 82
SRP_00188 0.04 0.04 0.05 3 31059 63 7 56 0 76
SRP_00308 0.07 0.07 0.08 6 36239 70 10 60 0 82

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

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

Total Base Pair Counts
Total TP 0
Total TN 738075
Total FP 0
Total FP CONTRA 0
Total FP INCONS 0
Total FP COMP 0
Total FN 1324
Total Scores
MCC 0.000
Average MCC ± 95% Confidence Intervals 0.000 ± 0.000
Sensitivity 0.000
Positive Predictive Value 0.000
Nr of predictions 13

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00599 0.00 0.00 0.00 0 101475 0 0 0 0 111
RFA_00601 0.00 0.00 0.00 0 99235 0 0 0 0 114
RFA_00602 0.00 0.00 0.00 0 101475 0 0 0 0 116
SRP_00011 0.00 0.00 0.00 0 46360 0 0 0 0 104
SRP_00015 0.00 0.00 0.00 0 46360 0 0 0 0 99
SRP_00152 0.00 0.00 0.00 0 45753 0 0 0 0 103
SRP_00178 0.00 0.00 0.00 0 45753 0 0 0 0 102
SRP_00179 0.00 0.00 0.00 0 46056 0 0 0 0 105
SRP_00181 0.00 0.00 0.00 0 46056 0 0 0 0 102
SRP_00182 0.00 0.00 0.00 0 46056 0 0 0 0 101
SRP_00184 0.00 0.00 0.00 0 46056 0 0 0 0 100
SRP_00188 0.00 0.00 0.00 0 31125 0 0 0 0 79
SRP_00308 0.00 0.00 0.00 0 36315 0 0 0 0 88

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