CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of RNAalifold(20) - scored higher in this pairwise comparison

  4. Performance of RNASLOpt - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) RNASLOpt
MCC 0.620 > 0.480
Average MCC ± 95% Confidence Intervals 0.620 ± 0.178 > 0.514 ± 0.210
Sensitivity 0.573 > 0.500
Positive Predictive Value 0.678 > 0.470
Total TP 118 > 103
Total TN 23013 > 22968
Total FP 74 < 171
Total FP CONTRA 18 < 50
Total FP INCONS 38 < 66
Total FP COMP 18 < 55
Total FN 88 < 103
P-value 1.45096400029e-08

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Performance plots


  1. Comparison of performance of RNAalifold(20) and RNASLOpt. 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 RNAalifold(20) and RNASLOpt).

  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 RNAalifold(20) and RNASLOpt).

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

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

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

Total Base Pair Counts
Total TP 118
Total TN 23013
Total FP 74
Total FP CONTRA 18
Total FP INCONS 38
Total FP COMP 18
Total FN 88
Total Scores
MCC 0.620
Average MCC ± 95% Confidence Intervals 0.620 ± 0.178
Sensitivity 0.573
Positive Predictive Value 0.678
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
3J20_0 0.95 0.95 0.95 20 1198 1 1 0 0 1
3J3D_C 0.87 0.89 0.85 17 948 3 3 0 0 2
3J3E_8 0.34 0.33 0.36 5 2728 9 3 6 0 10
3J3F_8 0.54 0.58 0.50 11 4739 20 4 7 9 8
3ZEX_C 0.46 0.41 0.52 12 5351 16 2 9 5 17
4A1C_2 0.22 0.25 0.19 5 4490 23 5 16 2 15
4AOB_A 0.85 0.72 1.00 21 1416 2 0 0 2 8
4ENB_A 0.51 0.27 1.00 4 468 0 0 0 0 11
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9
4FRG_B 0.84 0.71 1.00 17 1185 0 0 0 0 7

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Performance of RNASLOpt - scored lower in this pairwise comparison

1. Total counts & total scores for RNASLOpt

Total Base Pair Counts
Total TP 103
Total TN 22968
Total FP 171
Total FP CONTRA 50
Total FP INCONS 66
Total FP COMP 55
Total FN 103
Total Scores
MCC 0.480
Average MCC ± 95% Confidence Intervals 0.514 ± 0.210
Sensitivity 0.500
Positive Predictive Value 0.470
Nr of predictions 10

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_0 0.74 0.76 0.73 16 1197 7 3 3 1 5
3J3D_C 0.90 0.95 0.86 18 947 3 3 0 0 1
3J3E_8 -0.01 0.00 0.00 0 2724 30 6 12 12 15
3J3F_8 0.39 0.47 0.32 9 4733 38 10 9 19 10
3ZEX_C 0.32 0.34 0.31 10 5342 36 8 14 14 19
4A1C_2 0.30 0.40 0.24 8 4482 35 13 13 9 12
4AOB_A 0.31 0.28 0.38 8 1416 13 3 10 0 21
4ENB_A 0.85 0.73 1.00 11 461 0 0 0 0 4
4ENC_A 0.73 0.60 0.90 9 486 1 1 0 0 6
4FRG_B 0.60 0.58 0.64 14 1180 8 3 5 0 10

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