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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric RNASampler(seed) Murlet(seed)
MCC 0.557 > 0.473
Average MCC ± 95% Confidence Intervals 0.428 ± 0.070 > 0.336 ± 0.085
Sensitivity 0.389 > 0.276
Positive Predictive Value 0.802 < 0.818
Total TP 630 > 446
Total TN 282553 < 282794
Total FP 215 > 102
Total FP CONTRA 48 > 0
Total FP INCONS 108 > 99
Total FP COMP 59 > 3
Total FN 988 < 1172
P-value 3.56938820447e-08

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Performance plots


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

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

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

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

Total Base Pair Counts
Total TP 630
Total TN 282553
Total FP 215
Total FP CONTRA 48
Total FP INCONS 108
Total FP COMP 59
Total FN 988
Total Scores
MCC 0.557
Average MCC ± 95% Confidence Intervals 0.428 ± 0.070
Sensitivity 0.389
Positive Predictive Value 0.802
Nr of predictions 86

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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_00005 0.88 0.79 1.00 11 935 0 0 0 0 3
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_00716 0.50 0.39 0.64 9 2687 6 0 5 1 14
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_01051 0.45 0.31 0.67 4 897 6 0 2 4 9
PDB_01092 0.72 0.62 0.84 32 10115 8 0 6 2 20
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_00603 0.63 0.51 0.78 18 13507 8 3 2 3 17
RFA_00604 0.73 0.66 0.82 23 13502 14 4 1 9 12
RFA_00605 0.41 0.31 0.55 11 15205 11 1 8 2 24
RFA_00607 0.71 0.56 0.91 20 17744 9 0 2 7 16
RFA_00609 0.82 0.68 1.00 25 17930 6 0 0 6 12
RFA_00610 0.81 0.70 0.93 26 17177 9 0 2 7 11
RFA_00611 0.68 0.57 0.80 20 13016 8 3 2 3 15
RFA_00613 0.58 0.46 0.73 16 12858 6 4 2 0 19
RFA_00615 0.63 0.51 0.78 18 13343 5 3 2 0 17
RFA_00632 0.78 0.68 0.90 19 4074 2 1 1 0 9
RFA_00636 0.85 0.75 0.95 21 3983 1 1 0 0 7
RFA_00642 0.58 0.39 0.88 7 2918 1 0 1 0 11
RFA_00643 0.21 0.17 0.27 3 2200 8 0 8 0 15
RFA_00644 0.44 0.33 0.60 6 2691 4 1 3 0 12
RFA_00645 -0.01 0.00 0.00 0 2403 12 3 9 0 18
RFA_00649 0.44 0.33 0.60 6 2135 4 1 3 0 12
RFA_00651 0.33 0.22 0.50 4 2072 4 1 3 0 14
RFA_00653 -0.01 0.00 0.00 0 2133 12 3 9 0 18
RFA_00654 0.39 0.28 0.56 5 2406 4 1 3 0 13
RFA_00658 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00659 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_00684 0.53 0.29 1.00 4 986 0 0 0 0 10
RFA_00685 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00695 0.00 0.00 0.00 0 7021 0 0 0 0 14
RFA_00703 0.46 0.21 1.00 3 4275 0 0 0 0 11
RFA_00704 -0.01 0.00 0.00 0 987 3 0 3 0 14
RFA_00705 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00706 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00707 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00708 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00709 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00710 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00711 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_00716 -0.01 0.00 0.00 0 943 3 0 3 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_00767 0.65 0.56 0.77 10 1878 3 3 0 0 8
RFA_00768 0.65 0.56 0.77 10 1878 3 3 0 0 8
RFA_00769 0.59 0.56 0.63 10 1937 6 1 5 0 8
RFA_00770 0.52 0.39 0.70 7 2006 3 3 0 0 11
RFA_00773 0.59 0.50 0.69 9 1940 4 4 0 0 9
RFA_00779 0.65 0.56 0.77 10 1940 3 3 0 0 8
RFA_00781 0.85 0.72 1.00 23 5027 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
RFA_00808 0.58 0.56 0.60 9 2001 6 0 6 0 7
RFA_00809 0.36 0.38 0.35 6 2128 11 1 10 0 10

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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 446
Total TN 282794
Total FP 102
Total FP CONTRA 0
Total FP INCONS 99
Total FP COMP 3
Total FN 1172
Total Scores
MCC 0.473
Average MCC ± 95% Confidence Intervals 0.336 ± 0.085
Sensitivity 0.276
Positive Predictive Value 0.818
Nr of predictions 86

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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_00005 0.53 0.29 1.00 4 942 2 0 0 2 10
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_00716 0.23 0.13 0.43 3 2694 4 0 4 0 20
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_01051 0.00 0.00 0.00 0 903 0 0 0 0 13
PDB_01092 0.69 0.48 1.00 25 10128 0 0 0 0 27
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_00603 0.00 0.00 0.00 0 13530 0 0 0 0 35
RFA_00604 0.00 0.00 0.00 0 13530 0 0 0 0 35
RFA_00605 0.00 0.00 0.00 0 15225 0 0 0 0 35
RFA_00607 0.00 0.00 0.00 0 17766 0 0 0 0 36
RFA_00609 0.00 0.00 0.00 0 17955 0 0 0 0 37
RFA_00610 0.00 0.00 0.00 0 17205 0 0 0 0 37
RFA_00611 0.00 0.00 0.00 0 13041 0 0 0 0 35
RFA_00613 0.00 0.00 0.00 0 12880 0 0 0 0 35
RFA_00615 0.00 0.00 0.00 0 13366 0 0 0 0 35
RFA_00632 0.21 0.11 0.43 3 4088 4 0 4 0 25
RFA_00636 0.21 0.11 0.43 3 3998 4 0 4 0 25
RFA_00642 0.57 0.44 0.73 8 2915 3 0 3 0 10
RFA_00643 -0.01 0.00 0.00 0 2203 8 0 8 0 18
RFA_00644 0.42 0.33 0.55 6 2690 5 0 5 0 12
RFA_00645 0.00 0.00 0.00 0 2407 8 0 8 0 18
RFA_00649 -0.01 0.00 0.00 0 2137 8 0 8 0 18
RFA_00651 0.42 0.33 0.55 6 2069 5 0 5 0 12
RFA_00653 -0.01 0.00 0.00 0 2137 8 0 8 0 18
RFA_00654 0.57 0.44 0.73 8 2404 3 0 3 0 10
RFA_00658 0.00 0.00 0.00 0 1128 0 0 0 0 14
RFA_00659 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_00684 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00685 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00695 0.00 0.00 0.00 0 7021 0 0 0 0 14
RFA_00703 0.00 0.00 0.00 0 4278 0 0 0 0 14
RFA_00704 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00705 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00706 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00707 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00708 0.00 0.00 0.00 0 1035 0 0 0 0 14
RFA_00709 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00710 0.00 0.00 0.00 0 990 0 0 0 0 14
RFA_00711 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_00716 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_00767 0.47 0.33 0.67 6 1882 3 0 3 0 12
RFA_00768 0.41 0.28 0.63 5 1883 3 0 3 0 13
RFA_00769 0.57 0.44 0.73 8 1942 3 0 3 0 10
RFA_00770 0.57 0.44 0.73 8 2005 3 0 3 0 10
RFA_00773 0.41 0.28 0.63 5 1945 3 0 3 0 13
RFA_00779 0.47 0.33 0.67 6 1944 3 0 3 0 12
RFA_00781 0.83 0.75 0.92 24 5024 2 0 2 0 8
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
RFA_00808 0.75 0.56 1.00 9 2007 0 0 0 0 7
RFA_00809 0.50 0.38 0.67 6 2136 3 0 3 0 10

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