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 Carnac(20) - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) Carnac(20)
MCC 0.670 > 0.658
Average MCC ± 95% Confidence Intervals 0.695 ± 0.170 > 0.606 ± 0.228
Sensitivity 0.604 > 0.465
Positive Predictive Value 0.748 < 0.935
Total TP 113 > 87
Total TN 23092 < 23150
Total FP 63 > 11
Total FP CONTRA 17 > 1
Total FP INCONS 21 > 5
Total FP COMP 25 > 5
Total FN 74 < 100
P-value 0.0

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Performance plots


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

  2. Comparison of performance of RNASampler(seed) and Carnac(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 Carnac(20)).

  3. 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 Carnac(20)).

  4. 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 Carnac(20)).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and Carnac(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 Carnac(20)).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNASampler(seed) and Carnac(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 Carnac(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 113
Total TN 23092
Total FP 63
Total FP CONTRA 17
Total FP INCONS 21
Total FP COMP 25
Total FN 74
Total Scores
MCC 0.670
Average MCC ± 95% Confidence Intervals 0.695 ± 0.170
Sensitivity 0.604
Positive Predictive Value 0.748
Nr of predictions 9

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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
3ZEX_C 0.39 0.31 0.50 9 5356 14 2 7 5 20
4A1C_2 0.40 0.40 0.40 8 4496 20 4 8 8 12

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

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

Total Base Pair Counts
Total TP 87
Total TN 23150
Total FP 11
Total FP CONTRA 1
Total FP INCONS 5
Total FP COMP 5
Total FN 100
Total Scores
MCC 0.658
Average MCC ± 95% Confidence Intervals 0.606 ± 0.228
Sensitivity 0.465
Positive Predictive Value 0.935
Nr of predictions 9

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KDQ_B 0.77 0.60 1.00 6 168 0 0 0 0 4
2L94_A 0.00 0.00 0.00 0 357 0 0 0 0 18
3IVN_B 0.91 0.83 1.00 19 884 0 0 0 0 4
3JYX_4 0.76 0.58 1.00 7 4749 2 0 0 2 5
3O58_3 0.60 0.36 1.00 8 4756 1 0 0 1 14
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
3ZEX_C 0.37 0.21 0.67 6 5365 4 1 2 1 23
4A1C_2 0.42 0.25 0.71 5 4509 3 0 2 1 15

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