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 0.669 > 0.276
Average MCC ± 95% Confidence Intervals 0.662 ± 0.229 > 0.309 ± 0.189
Sensitivity 0.527 > 0.286
Positive Predictive Value 0.852 > 0.277
Total TP 144 > 78
Total TN 42271 > 42158
Total FP 30 < 215
Total FP CONTRA 2 < 24
Total FP INCONS 23 < 180
Total FP COMP 5 < 11
Total FN 129 < 195
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 144
Total TN 42271
Total FP 30
Total FP CONTRA 2
Total FP INCONS 23
Total FP COMP 5
Total FN 129
Total Scores
MCC 0.669
Average MCC ± 95% Confidence Intervals 0.662 ± 0.229
Sensitivity 0.527
Positive Predictive Value 0.852
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 0.96 0.91 1.00 21 2905 0 0 0 0 2
3J2L_3 0.69 0.47 1.00 25 7850 2 0 0 2 28
3ZEX_D 0.80 0.69 0.92 34 6984 3 0 3 0 15
4A1C_3 0.74 0.57 0.97 31 7108 1 0 1 0 23
4A1C_2 0.17 0.15 0.19 5 11755 23 2 19 2 28
4AOB_A 0.72 0.52 1.00 22 4349 1 0 0 1 20
4ENC_A 0.56 0.32 1.00 6 1320 0 0 0 0 13

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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 78
Total TN 42158
Total FP 215
Total FP CONTRA 24
Total FP INCONS 180
Total FP COMP 11
Total FN 195
Total Scores
MCC 0.276
Average MCC ± 95% Confidence Intervals 0.309 ± 0.189
Sensitivity 0.286
Positive Predictive Value 0.277
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 0.41 0.48 0.37 11 2896 19 5 14 0 12
3J2L_3 0.11 0.11 0.12 6 7824 46 3 42 1 47
3ZEX_D 0.26 0.27 0.27 13 6972 36 1 35 0 36
4A1C_3 0.48 0.46 0.51 25 7091 24 2 22 0 29
4A1C_2 0.00 0.00 0.00 0 11728 61 12 41 8 33
4AOB_A 0.33 0.29 0.39 12 4340 20 1 18 1 30
4ENC_A 0.57 0.58 0.58 11 1307 9 0 8 1 8

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