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 PknotsRG - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) PknotsRG
MCC 0.779 > 0.638
Average MCC ± 95% Confidence Intervals 0.774 ± 0.092 > 0.618 ± 0.181
Sensitivity 0.659 > 0.653
Positive Predictive Value 0.921 > 0.624
Total TP 442 > 438
Total TN 413762 > 413540
Total FP 105 < 429
Total FP CONTRA 9 < 81
Total FP INCONS 29 < 183
Total FP COMP 67 < 165
Total FN 229 < 233
P-value 1.39551335374e-08

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Performance plots


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

  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 PknotsRG).

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

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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 442
Total TN 413762
Total FP 105
Total FP CONTRA 9
Total FP INCONS 29
Total FP COMP 67
Total FN 229
Total Scores
MCC 0.779
Average MCC ± 95% Confidence Intervals 0.774 ± 0.092
Sensitivity 0.659
Positive Predictive Value 0.921
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
RFA_00606 0.44 0.36 0.54 14 21295 18 7 5 6 25
RFA_00620 0.52 0.44 0.63 17 21918 15 2 8 5 22
RFA_00626 0.80 0.64 1.00 56 56560 5 0 0 5 31
RFA_00627 0.77 0.63 0.93 55 56894 8 0 4 4 32
RFA_00628 0.78 0.64 0.95 55 57233 12 0 3 9 31
RFA_00630 0.77 0.66 0.90 57 56890 15 0 6 9 30
RFA_00814 0.87 0.78 0.97 32 25167 6 0 1 5 9
RFA_00815 0.88 0.78 1.00 32 24499 8 0 0 8 9
RFA_00816 0.86 0.76 0.97 31 23188 6 0 1 5 10
RFA_00817 0.86 0.76 0.97 31 21913 1 0 1 0 10
RFA_00818 0.86 0.73 1.00 30 20271 6 0 0 6 11
RFA_00819 0.88 0.78 1.00 32 27934 5 0 0 5 9

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Performance of PknotsRG - scored lower in this pairwise comparison

1. Total counts & total scores for PknotsRG

Total Base Pair Counts
Total TP 438
Total TN 413540
Total FP 429
Total FP CONTRA 81
Total FP INCONS 183
Total FP COMP 165
Total FN 233
Total Scores
MCC 0.638
Average MCC ± 95% Confidence Intervals 0.618 ± 0.181
Sensitivity 0.653
Positive Predictive Value 0.624
Nr of predictions 12

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
RFA_00606 0.66 0.67 0.65 26 21281 28 6 8 14 13
RFA_00620 0.63 0.62 0.65 24 21908 26 4 9 13 15
RFA_00626 0.89 0.86 0.93 75 56535 28 2 4 22 12
RFA_00627 0.73 0.70 0.76 61 56873 35 4 15 16 26
RFA_00628 0.78 0.74 0.81 64 57212 40 0 15 25 22
RFA_00630 0.60 0.60 0.60 52 56866 44 8 27 9 35
RFA_00814 0.91 0.95 0.87 39 25155 23 4 2 17 2
RFA_00815 0.66 0.71 0.62 29 24484 33 5 13 15 12
RFA_00816 0.68 0.73 0.63 30 23172 26 12 6 8 11
RFA_00817 0.10 0.12 0.08 5 21885 56 16 39 1 36
RFA_00818 0.00 0.00 0.00 0 20245 56 20 36 0 41
RFA_00819 0.79 0.80 0.79 33 27924 34 0 9 25 8

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