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 0.417 > 0.340
Average MCC ± 95% Confidence Intervals 0.405 ± 0.189 > 0.378 ± 0.224
Sensitivity 0.283 < 0.333
Positive Predictive Value 0.619 > 0.353
Total TP 91 < 107
Total TN 60849 > 60693
Total FP 82 < 227
Total FP CONTRA 4 < 34
Total FP INCONS 52 < 162
Total FP COMP 26 < 31
Total FN 230 > 214
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 91
Total TN 60849
Total FP 82
Total FP CONTRA 4
Total FP INCONS 52
Total FP COMP 26
Total FN 230
Total Scores
MCC 0.417
Average MCC ± 95% Confidence Intervals 0.405 ± 0.189
Sensitivity 0.283
Positive Predictive Value 0.619
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 -0.01 0.00 0.00 0 1530 10 0 10 0 20
3J3E_8 0.12 0.09 0.17 3 7485 22 2 13 7 30
3J3F_8 0.44 0.33 0.57 12 12225 15 1 8 6 24
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.60 0.38 0.94 16 3899 1 0 1 0 26
3W3S_B 0.55 0.30 1.00 12 4741 1 0 0 1 28
3ZEX_C 0.32 0.19 0.53 10 14177 13 1 8 4 42
4A1C_2 0.31 0.24 0.40 8 11761 20 0 12 8 25
4JF2_A 0.57 0.32 1.00 10 2840 0 0 0 0 21

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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 107
Total TN 60693
Total FP 227
Total FP CONTRA 34
Total FP INCONS 162
Total FP COMP 31
Total FN 214
Total Scores
MCC 0.340
Average MCC ± 95% Confidence Intervals 0.378 ± 0.224
Sensitivity 0.333
Positive Predictive Value 0.353
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 10 1522 8 0 8 0 10
3J3E_8 0.00 0.00 0.00 0 7470 42 4 29 9 33
3J3F_8 0.23 0.25 0.21 9 12204 45 5 28 12 27
3RKF_A 0.72 0.62 0.84 21 2186 4 0 4 0 13
3SD1_A 0.46 0.43 0.50 18 3880 18 0 18 0 24
3W3S_B 0.68 0.63 0.74 25 4719 10 0 9 1 15
3ZEX_C 0.05 0.06 0.06 3 14144 49 12 37 0 49
4A1C_2 0.08 0.09 0.08 3 11741 46 10 27 9 30
4JF2_A 0.67 0.58 0.78 18 2827 5 3 2 0 13

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