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 NanoFolder - scored lower in this pairwise comparison

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


Overview

Metric RNAalifold(20) NanoFolder
MCC 0.788 > 0.329
Average MCC ± 95% Confidence Intervals 0.765 ± 0.248 > 0.353 ± 0.217
Sensitivity 0.732 > 0.405
Positive Predictive Value 0.853 > 0.283
Total TP 139 > 77
Total TN 15977 > 15868
Total FP 35 < 216
Total FP CONTRA 5 < 62
Total FP INCONS 19 < 133
Total FP COMP 11 < 21
Total FN 51 < 113
P-value 0.0

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Performance plots


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

  2. Comparison of performance of RNAalifold(20) and NanoFolder. 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 NanoFolder).

  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 RNAalifold(20) and NanoFolder).

  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 RNAalifold(20) and NanoFolder).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and NanoFolder. 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 NanoFolder).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for RNAalifold(20) and NanoFolder. 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 NanoFolder).

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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 139
Total TN 15977
Total FP 35
Total FP CONTRA 5
Total FP INCONS 19
Total FP COMP 11
Total FN 51
Total Scores
MCC 0.788
Average MCC ± 95% Confidence Intervals 0.765 ± 0.248
Sensitivity 0.732
Positive Predictive Value 0.853
Nr of predictions 7

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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_1 1.00 1.00 1.00 20 1092 1 0 0 1 0
3J2L_3 0.86 0.74 1.00 25 2995 2 0 0 2 9
3ZEX_D 0.91 0.89 0.94 31 2763 6 0 2 4 4
4A1C_3 0.90 0.84 0.97 31 2731 1 0 1 0 6
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
4ENC_A 0.63 0.40 1.00 6 490 0 0 0 0 9

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Performance of NanoFolder - scored lower in this pairwise comparison

1. Total counts & total scores for NanoFolder

Total Base Pair Counts
Total TP 77
Total TN 15868
Total FP 216
Total FP CONTRA 62
Total FP INCONS 133
Total FP COMP 21
Total FN 113
Total Scores
MCC 0.329
Average MCC ± 95% Confidence Intervals 0.353 ± 0.217
Sensitivity 0.405
Positive Predictive Value 0.283
Nr of predictions 7

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
3J20_1 0.42 0.50 0.37 10 1085 20 5 12 3 10
3J2L_3 0.13 0.18 0.12 6 2969 46 14 31 1 28
3ZEX_D 0.30 0.37 0.27 13 2747 36 10 26 0 22
4A1C_3 0.58 0.68 0.51 25 2714 24 9 15 0 12
4A1C_2 -0.01 0.00 0.00 0 4469 61 18 29 14 20
4AOB_A 0.39 0.41 0.39 12 1406 20 4 15 1 17
4ENC_A 0.66 0.73 0.61 11 478 9 2 5 2 4

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