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

  1. Overview

  2. Performance Plots

  3. Performance of Cylofold - scored higher in this pairwise comparison

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

  5. Compile and download dataset for Cylofold & NanoFolder [.zip] - may take several seconds...


Overview

Metric Cylofold NanoFolder
MCC 0.621 > 0.438
Average MCC ± 95% Confidence Intervals 0.727 ± 0.121 > 0.616 ± 0.151
Sensitivity 0.620 > 0.529
Positive Predictive Value 0.633 > 0.378
Total TP 245 > 209
Total TN 26924 > 26758
Total FP 163 < 371
Total FP CONTRA 41 < 117
Total FP INCONS 101 < 227
Total FP COMP 21 < 27
Total FN 150 < 186
P-value 5.1503931209e-08

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Performance plots


  1. Comparison of performance of Cylofold 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 Cylofold and NanoFolder).

  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 Cylofold and NanoFolder).

  3. Comparison of average Matthews Correlation Coefficients (MCCs) for Cylofold 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 Cylofold and NanoFolder).

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Performance of Cylofold - scored higher in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 245
Total TN 26924
Total FP 163
Total FP CONTRA 41
Total FP INCONS 101
Total FP COMP 21
Total FN 150
Total Scores
MCC 0.621
Average MCC ± 95% Confidence Intervals 0.727 ± 0.121
Sensitivity 0.620
Positive Predictive Value 0.633
Nr of predictions 21

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.64 0.61 0.69 11 512 5 1 4 0 7
2LDL_A - 0.81 0.67 1.00 6 134 0 0 0 0 3
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.56 0.55 0.57 16 2412 13 4 8 1 13
2LWK_A - 0.95 0.91 1.00 10 197 1 0 0 1 1
3J16_L 0.90 0.81 1.00 17 1142 0 0 0 0 4
3J20_1 0.71 0.75 0.68 15 1090 8 2 5 1 5
3J2L_3 0.71 0.68 0.74 23 2989 11 0 8 3 11
3SN2_B 0.63 0.42 1.00 5 149 0 0 0 0 7
3U4M_B - 0.49 0.55 0.46 12 1250 14 3 11 0 10
3UZL_B 0.45 0.50 0.42 8 1274 18 4 7 7 8
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
3W3S_B 0.48 0.45 0.52 15 1960 15 1 13 1 18
3ZEX_D 0.69 0.69 0.71 24 2762 11 5 5 1 11
3ZEX_E - 0.00 0.00 0.00 0 8258 51 15 31 5 34
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.42 0.38 0.48 11 1414 13 3 9 1 18
4ATO_G - 0.88 1.00 0.78 7 211 2 2 0 0 0
4ENC_A 0.97 1.00 0.94 15 480 1 1 0 0 0
4HXH_A - 1.00 1.00 1.00 6 89 0 0 0 0 0

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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 209
Total TN 26758
Total FP 371
Total FP CONTRA 117
Total FP INCONS 227
Total FP COMP 27
Total FN 186
Total Scores
MCC 0.438
Average MCC ± 95% Confidence Intervals 0.616 ± 0.151
Sensitivity 0.529
Positive Predictive Value 0.378
Nr of predictions 21

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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
2LC8_A 0.54 0.61 0.50 11 506 11 1 10 0 7
2LDL_A - 1.00 1.00 1.00 9 131 1 0 0 1 0
2LI4_A - 1.00 1.00 1.00 14 175 0 0 0 0 0
2LK3_A - 1.00 1.00 1.00 9 91 0 0 0 0 0
2LKR_A - 0.26 0.34 0.21 10 2392 41 15 23 3 19
2LWK_A - 0.95 0.91 1.00 10 197 2 0 0 2 1
3J16_L 0.43 0.52 0.37 11 1129 19 8 11 0 10
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
3SN2_B 0.95 0.92 1.00 11 143 0 0 0 0 1
3U4M_B - 0.77 0.91 0.67 20 1246 12 6 4 2 2
3UZL_B 0.41 0.56 0.31 9 1264 25 10 10 5 7
3VJR_D - 1.00 1.00 1.00 12 239 0 0 0 0 0
3W3S_B 0.18 0.21 0.18 7 1949 34 2 31 1 26
3ZEX_D 0.30 0.37 0.27 13 2747 36 10 26 0 22
3ZEX_E - 0.03 0.06 0.02 2 8222 86 31 49 6 32
4A4U_A - 1.00 1.00 1.00 9 96 0 0 0 0 0
4AOB_A 0.39 0.41 0.39 12 1406 20 4 15 1 17
4ATO_G - 0.72 1.00 0.54 7 207 6 6 0 0 0
4ENC_A 0.66 0.73 0.61 11 478 9 2 5 2 4
4HXH_A - 0.80 1.00 0.67 6 86 3 3 0 0 0

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