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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Multilign(seed) RSpredict(seed)
MCC 0.698 > 0.586
Average MCC ± 95% Confidence Intervals 0.555 ± 0.136 > 0.539 ± 0.128
Sensitivity 0.660 > 0.477
Positive Predictive Value 0.741 > 0.722
Total TP 560 > 405
Total TN 383500 < 383695
Total FP 279 > 213
Total FP CONTRA 36 > 33
Total FP INCONS 160 > 123
Total FP COMP 83 > 57
Total FN 289 < 444
P-value 5.10776592382e-08

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Performance plots


  1. Comparison of performance of Multilign(seed) and RSpredict(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 Multilign(seed) and RSpredict(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 Multilign(seed) and RSpredict(seed)).

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

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

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

Total Base Pair Counts
Total TP 560
Total TN 383500
Total FP 279
Total FP CONTRA 36
Total FP INCONS 160
Total FP COMP 83
Total FN 289
Total Scores
MCC 0.698
Average MCC ± 95% Confidence Intervals 0.555 ± 0.136
Sensitivity 0.660
Positive Predictive Value 0.741
Nr of predictions 22

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00416 0.57 0.53 0.62 8 1472 6 1 4 1 7
RFA_00626 0.90 0.85 0.95 74 56538 20 0 4 16 13
RFA_00628 0.92 0.88 0.95 76 57211 18 0 4 14 10
RFA_00630 0.83 0.80 0.86 70 56872 29 0 11 18 17
RFA_00654 0.00 0.00 0.00 0 2414 1 0 1 0 18
RFA_00658 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00664 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00708 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00767 0.63 0.56 0.71 10 1877 4 0 4 0 8
RFA_00768 0.61 0.56 0.67 10 1876 5 0 5 0 8
RFA_00769 0.55 0.56 0.56 10 1935 8 3 5 0 8
RFA_00770 0.68 0.56 0.83 10 2004 2 0 2 0 8
RFA_00773 0.59 0.56 0.63 10 1937 6 1 5 0 8
RFA_00779 0.61 0.56 0.67 10 1938 5 0 5 0 8
RFA_00808 0.60 0.56 0.64 9 2002 5 0 5 0 7
RFA_00809 0.37 0.38 0.38 6 2129 10 1 9 0 10
RFA_00816 1.00 1.00 1.00 41 23179 12 0 0 12 0
RFA_00817 0.77 0.78 0.76 32 21903 13 5 5 3 9
RFA_00818 0.85 0.80 0.89 33 20264 12 1 3 8 8
SRP_00241 0.48 0.50 0.46 41 45967 50 15 33 2 41
SRP_00331 0.69 0.69 0.70 60 37589 29 2 24 3 27
SRP_00340 0.59 0.61 0.57 50 41240 44 7 31 6 32

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

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

Total Base Pair Counts
Total TP 405
Total TN 383695
Total FP 213
Total FP CONTRA 33
Total FP INCONS 123
Total FP COMP 57
Total FN 444
Total Scores
MCC 0.586
Average MCC ± 95% Confidence Intervals 0.539 ± 0.128
Sensitivity 0.477
Positive Predictive Value 0.722
Nr of predictions 22

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00416 0.63 0.40 1.00 6 1479 1 0 0 1 9
RFA_00626 0.90 0.80 1.00 70 56546 12 0 0 12 17
RFA_00628 0.89 0.81 0.97 70 57219 12 0 2 10 16
RFA_00630 0.85 0.75 0.97 65 56886 11 0 2 9 22
RFA_00654 0.35 0.28 0.45 5 2404 6 0 6 0 13
RFA_00658 0.64 0.57 0.73 8 1117 4 0 3 1 6
RFA_00664 0.59 0.50 0.70 7 980 4 0 3 1 7
RFA_00708 0.75 0.57 1.00 8 1027 1 0 0 1 6
RFA_00767 0.19 0.17 0.23 3 1878 10 3 7 0 15
RFA_00768 0.19 0.17 0.23 3 1878 10 3 7 0 15
RFA_00769 0.59 0.56 0.63 10 1937 6 4 2 0 8
RFA_00770 0.54 0.56 0.53 10 1997 9 6 3 0 8
RFA_00773 0.50 0.50 0.50 9 1935 9 6 3 0 9
RFA_00779 0.50 0.50 0.50 9 1935 9 6 3 0 9
RFA_00808 0.60 0.50 0.73 8 2005 4 0 3 1 8
RFA_00809 0.37 0.31 0.45 5 2134 7 0 6 1 11
RFA_00816 0.90 0.85 0.95 35 23183 8 0 2 6 6
RFA_00817 0.88 0.83 0.94 34 21909 7 0 2 5 7
RFA_00818 0.80 0.71 0.91 29 20269 10 0 3 7 12
SRP_00241 0.00 0.00 0.00 0 46025 31 2 29 0 82
SRP_00331 0.00 0.00 0.00 0 37656 19 2 17 0 87
SRP_00340 0.21 0.13 0.34 11 41296 23 1 20 2 71

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