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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric Sfold NanoFolder
MCC 0.579 > 0.339
Average MCC ± 95% Confidence Intervals 0.662 ± 0.117 > 0.536 ± 0.139
Sensitivity 0.493 > 0.350
Positive Predictive Value 0.684 > 0.338
Total TP 364 > 258
Total TN 106317 > 106086
Total FP 190 < 523
Total FP CONTRA 12 < 60
Total FP INCONS 156 < 445
Total FP COMP 22 > 18
Total FN 374 < 480
P-value 5.10776592382e-08

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Performance plots


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

  2. Comparison of performance of Sfold 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 Sfold 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 Sfold 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 Sfold and NanoFolder).

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

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

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Performance of Sfold - scored higher in this pairwise comparison

1. Total counts & total scores for Sfold

Total Base Pair Counts
Total TP 364
Total TN 106317
Total FP 190
Total FP CONTRA 12
Total FP INCONS 156
Total FP COMP 22
Total FN 374
Total Scores
MCC 0.579
Average MCC ± 95% Confidence Intervals 0.662 ± 0.117
Sensitivity 0.493
Positive Predictive Value 0.684
Nr of predictions 25

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A 0.45 0.35 0.58 7 1528 5 0 5 0 13
2LDL_A - 0.90 0.82 1.00 9 342 1 0 0 1 2
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.89 0.79 1.00 31 6074 1 0 0 1 8
2LQZ_A - 0.85 0.82 0.90 9 341 1 1 0 0 2
2LWK_A - 0.88 0.85 0.92 11 484 1 0 1 0 2
3J16_L 0.29 0.23 0.37 7 2756 12 0 12 0 23
3J20_1 0.73 0.70 0.76 16 2905 6 0 5 1 7
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3SN2_B 0.96 0.92 1.00 11 395 0 0 0 0 1
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.51 0.32 0.80 12 3555 3 2 1 0 25
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.57 0.53 0.64 21 4720 13 1 11 1 19
3ZEX_G - 0.78 0.68 0.91 50 16416 9 0 5 4 24
3ZEX_D 0.74 0.63 0.86 31 6985 5 0 5 0 18
3ZEX_E - 0.00 0.00 0.00 0 21891 56 3 51 2 77
4A1C_2 0.16 0.15 0.17 5 11751 34 2 23 9 28
4A1C_3 0.69 0.57 0.84 31 7103 6 1 5 0 23
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ATO_G - 0.31 0.10 1.00 1 527 0 0 0 0 9
4ENC_A 0.51 0.26 1.00 5 1321 0 0 0 0 14
4HXH_A - 1.00 1.00 1.00 6 319 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 258
Total TN 106086
Total FP 523
Total FP CONTRA 60
Total FP INCONS 445
Total FP COMP 18
Total FN 480
Total Scores
MCC 0.339
Average MCC ± 95% Confidence Intervals 0.536 ± 0.139
Sensitivity 0.350
Positive Predictive Value 0.338
Nr of predictions 25

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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 0.52 0.55 0.50 11 1518 11 0 11 0 9
2LDL_A - 0.90 0.82 1.00 9 342 1 0 0 1 2
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.29 0.33 0.25 13 6054 38 8 30 0 26
2LQZ_A - 0.91 0.91 0.91 10 340 1 1 0 0 1
2LWK_A - 0.83 0.77 0.91 10 485 2 0 1 1 3
3J16_L 0.36 0.37 0.37 11 2745 19 3 16 0 19
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
3SN2_B 0.96 0.92 1.00 11 395 0 0 0 0 1
3U4M_B - 0.61 0.57 0.66 21 3128 11 1 10 0 16
3UZL_B 0.36 0.35 0.38 13 3536 21 3 18 0 24
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.17 0.18 0.18 7 4713 34 1 32 1 33
3ZEX_G - 0.05 0.05 0.05 4 16393 76 5 69 2 70
3ZEX_D 0.26 0.27 0.27 13 6972 36 1 35 0 36
3ZEX_E - 0.03 0.04 0.03 3 21859 85 9 74 2 74
4A1C_2 0.00 0.00 0.00 0 11728 61 12 41 8 33
4A1C_3 0.48 0.46 0.51 25 7091 24 2 22 0 29
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.33 0.29 0.39 12 4340 20 1 18 1 30
4ATO_G - 0.61 0.70 0.54 7 515 6 2 4 0 3
4ENC_A 0.57 0.58 0.58 11 1307 9 0 8 1 8
4HXH_A - 0.81 1.00 0.67 6 316 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.