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(20) - scored higher in this pairwise comparison

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

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


Overview

Metric Murlet(20) RNASampler(seed)
MCC 0.685 > 0.571
Average MCC ± 95% Confidence Intervals 0.548 ± 0.129 > 0.424 ± 0.109
Sensitivity 0.527 > 0.343
Positive Predictive Value 0.896 < 0.957
Total TP 346 > 225
Total TN 64273 < 64424
Total FP 67 > 25
Total FP CONTRA 0 = 0
Total FP INCONS 40 > 10
Total FP COMP 27 > 15
Total FN 310 < 431
P-value 3.56938820447e-08

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Performance plots


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

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Murlet(20) 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 Murlet(20) and RNASampler(seed)).

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

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

Total Base Pair Counts
Total TP 346
Total TN 64273
Total FP 67
Total FP CONTRA 0
Total FP INCONS 40
Total FP COMP 27
Total FN 310
Total Scores
MCC 0.685
Average MCC ± 95% Confidence Intervals 0.548 ± 0.129
Sensitivity 0.527
Positive Predictive Value 0.896
Nr of predictions 42

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2. Individual counts for Murlet(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 1 0 0 1 0
PDB_00213 0.73 0.59 0.92 24 5024 2 0 2 0 17
PDB_00553 0.53 0.36 0.80 4 460 1 0 1 0 7
PDB_00810 0.41 0.35 0.50 6 1069 7 0 6 1 11
PDB_01050 0.68 0.46 1.00 6 624 2 0 0 2 7
PDB_01152 0.76 0.64 0.90 9 551 1 0 1 0 5
RFA_00390 0.97 0.93 1.00 14 1417 3 0 0 3 1
RFA_00416 0.97 0.93 1.00 14 1471 2 0 0 2 1
RFA_00433 1.00 1.00 1.00 15 1416 2 0 0 2 0
RFA_00587 1.00 1.00 1.00 15 4836 7 0 0 7 0
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 0.55 0.31 1.00 4 899 0 0 0 0 9
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 0.75 0.75 0.75 9 891 4 0 3 1 3
RFA_00731 0.91 0.83 1.00 10 893 0 0 0 0 2
RFA_00733 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00734 0.75 0.75 0.75 9 891 4 0 3 1 3
RFA_00736 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00737 0.75 0.75 0.75 9 891 4 0 3 1 3
RFA_00745 0.75 0.75 0.75 9 934 4 0 3 1 3
RFA_00749 0.75 0.75 0.75 9 891 4 0 3 1 3
RFA_00758 0.75 0.75 0.75 9 891 5 0 3 2 3
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 1 0 0 1 0
RFA_00764 1.00 1.00 1.00 12 891 0 0 0 0 0
RFA_00765 0.75 0.75 0.75 9 891 4 0 3 1 3
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

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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 225
Total TN 64424
Total FP 25
Total FP CONTRA 0
Total FP INCONS 10
Total FP COMP 15
Total FN 431
Total Scores
MCC 0.571
Average MCC ± 95% Confidence Intervals 0.424 ± 0.109
Sensitivity 0.343
Positive Predictive Value 0.957
Nr of predictions 42

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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
PDB_00012 1.00 1.00 1.00 7 399 3 0 0 3 0
PDB_00213 0.76 0.59 1.00 24 5026 0 0 0 0 17
PDB_00553 1.00 1.00 1.00 11 454 0 0 0 0 0
PDB_00810 0.42 0.18 1.00 3 1078 0 0 0 0 14
PDB_01050 0.92 0.85 1.00 11 619 2 0 0 2 2
PDB_01152 0.84 0.71 1.00 10 551 0 0 0 0 4
RFA_00390 0.00 0.00 0.00 0 1431 0 0 0 0 15
RFA_00416 0.63 0.40 1.00 6 1479 1 0 0 1 9
RFA_00433 0.63 0.40 1.00 6 1425 1 0 0 1 9
RFA_00587 1.00 1.00 1.00 15 4836 5 0 0 5 0
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 0.53 0.29 1.00 4 986 0 0 0 0 10
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 -0.01 0.00 0.00 0 987 3 0 3 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 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00731 0.64 0.42 1.00 5 898 1 0 0 1 7
RFA_00733 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00734 0.64 0.42 1.00 5 898 0 0 0 0 7
RFA_00736 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00737 0.64 0.42 1.00 5 898 1 0 0 1 7
RFA_00745 0.50 0.25 1.00 3 943 0 0 0 0 9
RFA_00749 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00758 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00762 0.64 0.42 1.00 5 898 0 0 0 0 7
RFA_00763 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00764 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00765 0.50 0.25 1.00 3 900 0 0 0 0 9
RFA_00786 0.79 0.63 1.00 20 5030 0 0 0 0 12
RFA_00791 0.71 0.56 0.90 18 5131 2 0 2 0 14
RFA_00792 0.81 0.72 0.92 23 5025 2 0 2 0 9
RFA_00801 0.74 0.63 0.87 20 5027 4 0 3 1 12

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