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

  1. Overview

  2. Performance Plots

  3. Performance of Pknots - scored higher in this pairwise comparison

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

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


Overview

Metric Pknots RNASampler(seed)
MCC 0.803 > 0.641
Average MCC ± 95% Confidence Intervals 0.833 ± 0.128 > 0.633 ± 0.095
Sensitivity 0.820 > 0.562
Positive Predictive Value 0.789 > 0.736
Total TP 191 > 131
Total TN 27323 < 27387
Total FP 66 > 48
Total FP CONTRA 16 < 20
Total FP INCONS 35 > 27
Total FP COMP 15 > 1
Total FN 42 < 102
P-value 8.35333035499e-09

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Performance plots


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

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

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Performance of Pknots - scored higher in this pairwise comparison

1. Total counts & total scores for Pknots

Total Base Pair Counts
Total TP 191
Total TN 27323
Total FP 66
Total FP CONTRA 16
Total FP INCONS 35
Total FP COMP 15
Total FN 42
Total Scores
MCC 0.803
Average MCC ± 95% Confidence Intervals 0.833 ± 0.128
Sensitivity 0.820
Positive Predictive Value 0.789
Nr of predictions 12

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
PDB_00005 1.00 1.00 1.00 14 932 0 0 0 0 0
PDB_00716 0.69 0.70 0.70 16 2678 8 0 7 1 7
RFA_00632 0.40 0.43 0.39 12 4064 19 4 15 0 16
RFA_00636 0.80 0.86 0.75 24 3973 8 6 2 0 4
RFA_00767 1.00 1.00 1.00 18 1873 4 0 0 4 0
RFA_00768 1.00 1.00 1.00 18 1873 3 0 0 3 0
RFA_00769 0.54 0.56 0.53 10 1934 9 4 5 0 8
RFA_00770 0.97 0.94 1.00 17 1999 3 0 0 3 1
RFA_00773 0.97 1.00 0.95 18 1934 4 1 0 3 0
RFA_00779 0.83 0.83 0.83 15 1935 4 1 2 1 3
RFA_00808 1.00 1.00 1.00 16 2000 0 0 0 0 0
RFA_00809 0.79 0.81 0.76 13 2128 4 0 4 0 3

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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 131
Total TN 27387
Total FP 48
Total FP CONTRA 20
Total FP INCONS 27
Total FP COMP 1
Total FN 102
Total Scores
MCC 0.641
Average MCC ± 95% Confidence Intervals 0.633 ± 0.095
Sensitivity 0.562
Positive Predictive Value 0.736
Nr of predictions 12

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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_00716 0.50 0.39 0.64 9 2687 6 0 5 1 14
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_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_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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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.