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 RNAalifold(20) - scored lower in this pairwise comparison

  5. Compile and download dataset for RNASampler(seed) & RNAalifold(20) [.zip] - may take several seconds...


Overview

Metric RNASampler(seed) RNAalifold(20)
MCC 0.715 > 0.636
Average MCC ± 95% Confidence Intervals 0.733 ± 0.169 > 0.632 ± 0.195
Sensitivity 0.658 > 0.608
Positive Predictive Value 0.782 > 0.671
Total TP 104 > 96
Total TN 17736 > 17726
Total FP 49 < 62
Total FP CONTRA 15 < 16
Total FP INCONS 14 < 31
Total FP COMP 20 > 15
Total FN 54 < 62
P-value 0.0

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Performance plots


  1. Comparison of performance of RNASampler(seed) and RNAalifold(20). 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 RNAalifold(20)).

  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 RNAalifold(20)).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and RNAalifold(20). 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 RNAalifold(20)).

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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 104
Total TN 17736
Total FP 49
Total FP CONTRA 15
Total FP INCONS 14
Total FP COMP 20
Total FN 54
Total Scores
MCC 0.715
Average MCC ± 95% Confidence Intervals 0.733 ± 0.169
Sensitivity 0.658
Positive Predictive Value 0.782
Nr of predictions 8

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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
2KDQ_B 1.00 1.00 1.00 10 164 0 0 0 0 0
2L94_A 0.70 0.56 0.91 10 346 2 0 1 1 8
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.70 0.83 0.59 10 4739 13 6 1 6 2
3O58_3 0.54 0.50 0.58 11 4745 13 5 3 5 11
3RKF_A 0.91 0.83 1.00 20 846 0 0 0 0 4
3SD1_A 0.72 0.55 0.94 16 1516 1 0 1 0 13
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12

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Performance of RNAalifold(20) - scored lower in this pairwise comparison

1. Total counts & total scores for RNAalifold(20)

Total Base Pair Counts
Total TP 96
Total TN 17726
Total FP 62
Total FP CONTRA 16
Total FP INCONS 31
Total FP COMP 15
Total FN 62
Total Scores
MCC 0.636
Average MCC ± 95% Confidence Intervals 0.632 ± 0.195
Sensitivity 0.608
Positive Predictive Value 0.671
Nr of predictions 8

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2. Individual counts for RNAalifold(20) [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.62 0.40 1.00 4 170 0 0 0 0 6
2L94_A 0.51 0.50 0.56 9 341 8 0 7 1 9
3IVN_B 0.86 0.78 0.95 18 884 1 1 0 0 5
3JYX_4 0.77 0.83 0.71 10 4742 15 3 1 11 2
3O58_3 0.42 0.36 0.50 8 4748 9 3 5 1 14
3RKF_A 0.81 0.71 0.94 17 848 1 0 1 0 7
3SD1_A 0.84 0.86 0.83 25 1503 5 4 1 0 4
4A1C_2 0.22 0.25 0.19 5 4490 23 5 16 2 15

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