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 0.478 > 0.466
Average MCC ± 95% Confidence Intervals 0.512 ± 0.184 > 0.474 ± 0.143
Sensitivity 0.353 < 0.356
Positive Predictive Value 0.652 > 0.614
Total TP 120 < 121
Total TN 79070 > 79057
Total FP 96 > 93
Total FP CONTRA 8 < 9
Total FP INCONS 56 < 67
Total FP COMP 32 > 17
Total FN 220 > 219
P-value 1.71178597147e-06

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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 120
Total TN 79070
Total FP 96
Total FP CONTRA 8
Total FP INCONS 56
Total FP COMP 32
Total FN 220
Total Scores
MCC 0.478
Average MCC ± 95% Confidence Intervals 0.512 ± 0.184
Sensitivity 0.353
Positive Predictive Value 0.652
Nr of predictions 10

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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 0.95 0.91 1.00 10 396 0 0 0 0 1
3IVN_B 0.78 0.61 1.00 19 2327 0 0 0 0 12
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
3JYX_4 0.39 0.30 0.50 10 12226 13 2 8 3 23
3O58_3 0.45 0.34 0.60 12 12383 12 2 6 4 23
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
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

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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 121
Total TN 79057
Total FP 93
Total FP CONTRA 9
Total FP INCONS 67
Total FP COMP 17
Total FN 219
Total Scores
MCC 0.466
Average MCC ± 95% Confidence Intervals 0.474 ± 0.143
Sensitivity 0.356
Positive Predictive Value 0.614
Nr of predictions 10

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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 0.60 0.36 1.00 4 402 0 0 0 0 7
3IVN_B 0.74 0.58 0.95 18 2327 1 1 0 0 13
3J3E_8 0.23 0.15 0.36 5 7489 9 1 8 0 28
3J3F_8 0.48 0.39 0.58 14 12222 17 1 9 7 22
3JYX_4 0.39 0.30 0.50 10 12226 15 0 10 5 23
3O58_3 0.37 0.26 0.53 9 12386 8 2 6 0 26
3RKF_A 0.68 0.50 0.94 17 2193 1 0 1 0 17
3SD1_A 0.70 0.60 0.83 25 3886 5 1 4 0 17
3ZEX_C 0.39 0.27 0.56 14 14171 14 1 10 3 38
4A1C_2 0.17 0.15 0.19 5 11755 23 2 19 2 28

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