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 Murlet(seed) - scored lower in this pairwise comparison

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


Overview

Metric RSpredict(20) Murlet(seed)
MCC 0.742 > 0.636
Average MCC ± 95% Confidence Intervals 0.767 ± 0.050 > 0.473 ± 0.136
Sensitivity 0.662 > 0.428
Positive Predictive Value 0.838 < 0.952
Total TP 485 > 314
Total TN 75868 < 76117
Total FP 133 > 18
Total FP CONTRA 6 > 0
Total FP INCONS 88 > 16
Total FP COMP 39 > 2
Total FN 248 < 419
P-value 3.56938820447e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RSpredict(20) and Murlet(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 Murlet(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 485
Total TN 75868
Total FP 133
Total FP CONTRA 6
Total FP INCONS 88
Total FP COMP 39
Total FN 248
Total Scores
MCC 0.742
Average MCC ± 95% Confidence Intervals 0.767 ± 0.050
Sensitivity 0.662
Positive Predictive Value 0.838
Nr of predictions 44

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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
PDB_00012 1.00 1.00 1.00 7 399 2 0 0 2 0
PDB_00213 0.56 0.49 0.65 20 5019 11 0 11 0 21
PDB_00553 0.90 0.82 1.00 9 456 0 0 0 0 2
PDB_00810 0.64 0.47 0.89 8 1072 1 0 1 0 9
PDB_01050 0.68 0.54 0.88 7 622 3 0 1 2 6
PDB_01152 0.88 0.79 1.00 11 550 0 0 0 0 3
RFA_00390 1.00 1.00 1.00 15 1416 3 0 0 3 0
RFA_00416 0.87 0.87 0.87 13 1470 5 0 2 3 2
RFA_00433 1.00 1.00 1.00 15 1416 3 0 0 3 0
RFA_00587 1.00 1.00 1.00 15 4836 7 0 0 7 0
RFA_00658 0.69 0.64 0.75 9 1116 4 0 3 1 5
RFA_00664 0.64 0.57 0.73 8 979 4 0 3 1 6
RFA_00667 0.64 0.57 0.73 8 979 4 0 3 1 6
RFA_00668 0.47 0.36 0.63 5 982 4 0 3 1 9
RFA_00672 0.61 0.54 0.70 7 893 3 0 3 0 6
RFA_00673 0.59 0.50 0.70 7 1118 4 0 3 1 7
RFA_00674 0.69 0.64 0.75 9 1116 4 0 3 1 5
RFA_00675 0.62 0.50 0.78 7 981 3 0 2 1 7
RFA_00677 0.69 0.64 0.75 9 978 4 0 3 1 5
RFA_00678 0.72 0.64 0.82 9 935 3 0 2 1 5
RFA_00680 0.74 0.71 0.77 10 1115 4 0 3 1 4
RFA_00704 0.42 0.36 0.50 5 980 6 0 5 1 9
RFA_00707 0.72 0.64 0.82 9 1024 3 0 2 1 5
RFA_00715 0.60 0.43 0.86 6 939 2 0 1 1 8
RFA_00717 0.48 0.43 0.55 6 892 5 0 5 0 8
RFA_00730 0.91 0.83 1.00 10 893 1 0 0 1 2
RFA_00731 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00733 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00734 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00736 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00737 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00745 0.91 0.83 1.00 10 936 1 0 0 1 2
RFA_00749 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00758 0.86 0.75 1.00 9 894 0 0 0 0 3
RFA_00762 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00763 0.91 0.83 1.00 10 893 1 0 0 1 2
RFA_00764 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00765 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00786 0.81 0.78 0.83 25 5020 5 1 4 0 7
RFA_00791 0.77 0.72 0.82 23 5123 6 1 4 1 9
RFA_00792 0.64 0.63 0.67 20 5020 11 2 8 1 12
RFA_00801 0.59 0.56 0.62 18 5021 12 2 9 1 14
SRP_00141 0.72 0.56 0.92 23 6303 2 0 2 0 18
SRP_00338 0.56 0.36 0.87 13 5445 2 0 2 0 23

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

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

Total Base Pair Counts
Total TP 314
Total TN 76117
Total FP 18
Total FP CONTRA 0
Total FP INCONS 16
Total FP COMP 2
Total FN 419
Total Scores
MCC 0.636
Average MCC ± 95% Confidence Intervals 0.473 ± 0.136
Sensitivity 0.428
Positive Predictive Value 0.952
Nr of predictions 44

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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
PDB_00012 0.65 0.43 1.00 3 403 0 0 0 0 4
PDB_00213 0.73 0.59 0.92 24 5024 2 0 2 0 17
PDB_00553 0.45 0.27 0.75 3 461 1 0 1 0 8
PDB_00810 0.63 0.53 0.75 9 1069 3 0 3 0 8
PDB_01050 0.55 0.31 1.00 4 626 1 0 0 1 9
PDB_01152 0.76 0.64 0.90 9 551 1 0 1 0 5
RFA_00390 0.00 0.00 0.00 0 1431 0 0 0 0 15
RFA_00416 0.00 0.00 0.00 0 1485 0 0 0 0 15
RFA_00433 0.00 0.00 0.00 0 1431 0 0 0 0 15
RFA_00587 0.00 0.00 0.00 0 4851 0 0 0 0 15
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_00667 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00668 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00672 0.00 0.00 0.00 0 903 0 0 0 0 13
RFA_00673 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00674 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00675 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00677 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00678 0.00 0.00 0.00 0 946 0 0 0 0 14
RFA_00680 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00704 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00707 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00715 0.00 0.00 0.00 0 946 0 0 0 0 14
RFA_00717 0.00 0.00 0.00 0 903 0 0 0 0 14
RFA_00730 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00731 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00733 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00734 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00736 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00737 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00745 1.00 1.00 1.00 12 934 0 0 0 0 0
RFA_00749 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00758 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00762 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00763 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00764 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00765 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00786 0.83 0.75 0.92 24 5024 2 0 2 0 8
RFA_00791 0.83 0.75 0.92 24 5125 2 0 2 0 8
RFA_00792 0.83 0.75 0.92 24 5024 2 0 2 0 8
RFA_00801 0.80 0.72 0.88 23 5024 3 0 3 0 9
SRP_00141 0.35 0.12 1.00 5 6323 1 0 0 1 36
SRP_00338 0.41 0.17 1.00 6 5454 0 0 0 0 30

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