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 RNAwolf - scored lower in this pairwise comparison

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


Overview

Metric RNASampler(seed) RNAwolf
MCC 0.497 > 0.424
Average MCC ± 95% Confidence Intervals 0.476 ± 0.217 > 0.431 ± 0.248
Sensitivity 0.412 < 0.464
Positive Predictive Value 0.608 > 0.397
Total TP 87 < 98
Total TN 23248 > 23144
Total FP 86 < 191
Total FP CONTRA 16 < 51
Total FP INCONS 40 < 98
Total FP COMP 30 < 42
Total FN 124 > 113
P-value 0.0

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Performance plots


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

  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 RNAwolf).

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

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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 87
Total TN 23248
Total FP 86
Total FP CONTRA 16
Total FP INCONS 40
Total FP COMP 30
Total FN 124
Total Scores
MCC 0.497
Average MCC ± 95% Confidence Intervals 0.476 ± 0.217
Sensitivity 0.412
Positive Predictive Value 0.608
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
2LC8_A -0.03 0.00 0.00 0 518 10 0 10 0 18
3J3E_8 0.18 0.20 0.18 3 2725 22 5 9 8 12
3J3F_8 0.47 0.47 0.47 9 4742 18 5 5 8 10
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
3W3S_B 0.60 0.36 1.00 12 1977 1 0 0 1 21
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
4JF2_A 0.64 0.42 1.00 10 1072 0 0 0 0 14

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Performance of RNAwolf - scored lower in this pairwise comparison

1. Total counts & total scores for RNAwolf

Total Base Pair Counts
Total TP 98
Total TN 23144
Total FP 191
Total FP CONTRA 51
Total FP INCONS 98
Total FP COMP 42
Total FN 113
Total Scores
MCC 0.424
Average MCC ± 95% Confidence Intervals 0.431 ± 0.248
Sensitivity 0.464
Positive Predictive Value 0.397
Nr of predictions 9

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.52 0.50 0.56 9 512 7 0 7 0 9
3J3E_8 -0.01 0.00 0.00 0 2719 37 6 17 14 15
3J3F_8 0.28 0.37 0.23 7 4730 39 9 15 15 12
3RKF_A 0.89 0.83 0.95 20 845 1 0 1 0 4
3SD1_A 0.58 0.59 0.59 17 1504 12 2 10 0 12
3W3S_B 0.70 0.70 0.72 23 1957 10 0 9 1 10
3ZEX_C 0.08 0.10 0.07 3 5328 43 18 25 0 26
4A1C_2 0.12 0.15 0.10 3 4487 38 12 14 12 17
4JF2_A 0.72 0.67 0.80 16 1062 4 4 0 0 8

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