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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric TurboFold(20) NanoFolder
MCC 0.651 > 0.276
Average MCC ± 95% Confidence Intervals 0.647 ± 0.223 > 0.309 ± 0.189
Sensitivity 0.531 > 0.286
Positive Predictive Value 0.801 > 0.277
Total TP 145 > 78
Total TN 42259 > 42158
Total FP 49 < 215
Total FP CONTRA 2 < 24
Total FP INCONS 34 < 180
Total FP COMP 13 > 11
Total FN 128 < 195
P-value 0.0

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Performance plots


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

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

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

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

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

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

Total Base Pair Counts
Total TP 145
Total TN 42259
Total FP 49
Total FP CONTRA 2
Total FP INCONS 34
Total FP COMP 13
Total FN 128
Total Scores
MCC 0.651
Average MCC ± 95% Confidence Intervals 0.647 ± 0.223
Sensitivity 0.531
Positive Predictive Value 0.801
Nr of predictions 7

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2. Individual counts for TurboFold(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 0.74 0.58 0.94 31 7842 5 0 2 3 22
3ZEX_D 0.76 0.63 0.91 31 6987 3 0 3 0 18
4A1C_3 0.69 0.57 0.84 31 7103 6 0 6 0 23
4A1C_2 0.18 0.15 0.21 5 11757 28 0 19 9 28
4AOB_A 0.56 0.40 0.77 17 4349 6 1 4 1 25
4ENC_A 0.65 0.47 0.90 9 1316 1 1 0 0 10

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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.