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(seed) - scored higher in this pairwise comparison

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

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


Overview

Metric Murlet(seed) RNAfold
MCC 0.584 > 0.414
Average MCC ± 95% Confidence Intervals 0.476 ± 0.098 > 0.466 ± 0.144
Sensitivity 0.492 > 0.405
Positive Predictive Value 0.694 > 0.424
Total TP 354 > 291
Total TN 1015109 > 1014932
Total FP 180 < 418
Total FP CONTRA 6 < 61
Total FP INCONS 150 < 335
Total FP COMP 24 > 22
Total FN 365 < 428
P-value 2.43573297697e-08

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Performance plots


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

  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(seed) and RNAfold).

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

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

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

Total Base Pair Counts
Total TP 354
Total TN 1015109
Total FP 180
Total FP CONTRA 6
Total FP INCONS 150
Total FP COMP 24
Total FN 365
Total Scores
MCC 0.584
Average MCC ± 95% Confidence Intervals 0.476 ± 0.098
Sensitivity 0.492
Positive Predictive Value 0.694
Nr of predictions 14

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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
CRW_01343 0.64 0.61 0.68 263 977515 145 6 117 22 171
PDB_00005 0.53 0.29 1.00 4 942 2 0 0 2 10
PDB_00716 0.23 0.13 0.43 3 2694 4 0 4 0 20
PDB_01092 0.69 0.48 1.00 25 10128 0 0 0 0 27
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_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_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 RNAfold - scored lower in this pairwise comparison

1. Total counts & total scores for RNAfold

Total Base Pair Counts
Total TP 291
Total TN 1014932
Total FP 418
Total FP CONTRA 61
Total FP INCONS 335
Total FP COMP 22
Total FN 428
Total Scores
MCC 0.414
Average MCC ± 95% Confidence Intervals 0.466 ± 0.144
Sensitivity 0.405
Positive Predictive Value 0.424
Nr of predictions 14

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
CRW_01343 0.37 0.37 0.38 160 977476 278 42 223 13 274
PDB_00005 0.88 0.79 1.00 11 935 0 0 0 0 3
PDB_00716 -0.01 0.00 0.00 0 2678 24 1 22 1 23
PDB_01092 0.71 0.63 0.80 33 10112 10 1 7 2 19
RFA_00632 0.38 0.39 0.37 11 4065 19 2 17 0 17
RFA_00636 0.42 0.43 0.43 12 3977 16 2 14 0 16
RFA_00767 0.63 0.56 0.71 10 1877 4 0 4 0 8
RFA_00768 0.48 0.44 0.53 8 1876 7 1 6 0 10
RFA_00769 0.52 0.56 0.50 10 1933 10 4 6 0 8
RFA_00770 0.68 0.56 0.83 10 2004 5 0 2 3 8
RFA_00773 0.55 0.56 0.56 10 1935 8 2 6 0 8
RFA_00779 0.55 0.56 0.56 10 1935 8 3 5 0 8
RFA_00808 -0.01 0.00 0.00 0 2001 18 2 13 3 16
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.