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

  1. Overview

  2. Performance Plots

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

  4. Performance of MCFold - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(seed) MCFold
MCC 0.664 > 0.358
Average MCC ± 95% Confidence Intervals 0.655 ± 0.048 > 0.364 ± 0.091
Sensitivity 0.537 > 0.409
Positive Predictive Value 0.828 > 0.325
Total TP 168 > 128
Total TN 34679 > 34488
Total FP 37 < 302
Total FP CONTRA 8 < 45
Total FP INCONS 27 < 221
Total FP COMP 2 < 36
Total FN 145 < 185
P-value 2.39162260866e-08

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Performance plots


  1. Comparison of performance of RNAalifold(seed) and MCFold. 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 RNAalifold(seed) and MCFold).

  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 RNAalifold(seed) and MCFold).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(seed) and MCFold. 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 RNAalifold(seed) and MCFold).

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

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

Total Base Pair Counts
Total TP 168
Total TN 34679
Total FP 37
Total FP CONTRA 8
Total FP INCONS 27
Total FP COMP 2
Total FN 145
Total Scores
MCC 0.664
Average MCC ± 95% Confidence Intervals 0.655 ± 0.048
Sensitivity 0.537
Positive Predictive Value 0.828
Nr of predictions 15

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.59 0.36 1.00 5 941 0 0 0 0 9
PDB_00716 0.60 0.43 0.83 10 2689 2 0 2 0 13
PDB_00828 0.70 0.59 0.84 16 2466 3 2 1 0 11
PDB_00829 0.75 0.67 0.84 16 2259 3 2 1 0 8
PDB_01020 0.73 0.65 0.83 15 2260 4 2 1 1 8
PDB_01073 0.80 0.65 1.00 22 4349 1 0 0 1 12
RFA_00636 0.49 0.32 0.75 9 3993 3 2 1 0 19
RFA_00767 0.65 0.56 0.77 10 1878 3 0 3 0 8
RFA_00768 0.65 0.56 0.77 10 1878 3 0 3 0 8
RFA_00769 0.65 0.56 0.77 10 1940 3 0 3 0 8
RFA_00770 0.65 0.56 0.77 10 2003 3 0 3 0 8
RFA_00773 0.65 0.56 0.77 10 1940 3 0 3 0 8
RFA_00779 0.65 0.56 0.77 10 1940 3 0 3 0 8
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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Performance of MCFold - scored lower in this pairwise comparison

1. Total counts & total scores for MCFold

Total Base Pair Counts
Total TP 128
Total TN 34488
Total FP 302
Total FP CONTRA 45
Total FP INCONS 221
Total FP COMP 36
Total FN 185
Total Scores
MCC 0.358
Average MCC ± 95% Confidence Intervals 0.364 ± 0.091
Sensitivity 0.409
Positive Predictive Value 0.325
Nr of predictions 15

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2. Individual counts for MCFold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 0.76 0.79 0.73 11 931 6 2 2 2 3
PDB_00716 0.22 0.26 0.19 6 2670 25 5 20 0 17
PDB_00828 0.34 0.37 0.33 10 2455 22 1 19 2 17
PDB_00829 0.25 0.29 0.23 7 2248 23 6 17 0 17
PDB_01020 0.29 0.30 0.29 7 2254 20 2 15 3 16
PDB_01073 0.52 0.56 0.49 19 4332 22 1 19 2 15
RFA_00636 0.36 0.39 0.34 11 3973 29 0 21 8 17
RFA_00767 0.36 0.44 0.31 8 1865 19 3 15 1 10
RFA_00768 0.36 0.44 0.31 8 1865 19 3 15 1 10
RFA_00769 0.45 0.50 0.41 9 1931 18 2 11 5 9
RFA_00770 -0.01 0.00 0.00 0 1992 29 2 22 5 18
RFA_00773 0.43 0.50 0.38 9 1929 16 4 11 1 9
RFA_00779 0.45 0.56 0.37 10 1926 17 7 10 0 8
RFA_00808 0.39 0.44 0.35 7 1996 19 1 12 6 9
RFA_00809 0.30 0.38 0.25 6 2121 18 6 12 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.