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

  1. Overview

  2. Performance Plots

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

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

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


Overview

Metric UNAFold NanoFolder
MCC 0.472 > 0.272
Average MCC ± 95% Confidence Intervals 0.448 ± 0.104 > 0.326 ± 0.081
Sensitivity 0.411 > 0.284
Positive Predictive Value 0.549 > 0.269
Total TP 406 > 281
Total TN 155539 > 155234
Total FP 382 < 805
Total FP CONTRA 29 < 93
Total FP INCONS 304 < 670
Total FP COMP 49 > 42
Total FN 583 < 708
P-value 5.10776592382e-08

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Performance plots


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

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

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Performance of UNAFold - scored higher in this pairwise comparison

1. Total counts & total scores for UNAFold

Total Base Pair Counts
Total TP 406
Total TN 155539
Total FP 382
Total FP CONTRA 29
Total FP INCONS 304
Total FP COMP 49
Total FN 583
Total Scores
MCC 0.472
Average MCC ± 95% Confidence Intervals 0.448 ± 0.104
Sensitivity 0.411
Positive Predictive Value 0.549
Nr of predictions 26

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

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2LC8_A -0.01 0.00 0.00 0 1525 15 2 13 0 20
2LKR_A - 0.93 0.87 1.00 34 6071 1 0 0 1 5
2M58_A - 0.51 0.41 0.64 7 1642 4 1 3 0 10
3J16_L 0.26 0.23 0.30 7 2752 16 1 15 0 23
3J20_1 0.73 0.70 0.76 16 2905 5 0 5 0 7
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3J3D_C 0.28 0.25 0.32 7 2753 15 1 14 0 21
3J3E_8 0.10 0.09 0.12 3 7477 32 2 21 9 30
3J3E_7 0.45 0.37 0.56 20 7104 16 1 15 0 34
3J3F_8 0.30 0.31 0.29 11 12208 41 4 23 14 25
3J3F_7 0.73 0.62 0.86 31 7224 6 0 5 1 19
3J3V_B 0.55 0.44 0.69 25 6985 11 1 10 0 32
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
3W3S_B 0.56 0.50 0.63 20 4721 13 1 11 1 20
3ZEX_D 0.77 0.65 0.91 32 6986 3 0 3 0 17
3ZEX_G - 0.75 0.64 0.89 47 16418 12 0 6 6 27
3ZEX_E - 0.00 0.00 0.00 0 21893 54 4 48 2 77
3ZND_W 0.21 0.22 0.21 5 2979 20 1 18 1 18
4A1C_3 0.70 0.59 0.82 32 7101 7 1 6 0 22
4A1C_2 0.14 0.15 0.14 5 11745 42 5 26 11 28
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ATO_G - 0.32 0.30 0.38 3 520 5 1 4 0 7
4ENC_A 0.32 0.26 0.42 5 1314 7 1 6 0 14
4JF2_A 0.78 0.61 1.00 19 2831 0 0 0 0 12
4JRC_A - 0.29 0.26 0.35 6 1523 11 0 11 0 17

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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 281
Total TN 155234
Total FP 805
Total FP CONTRA 93
Total FP INCONS 670
Total FP COMP 42
Total FN 708
Total Scores
MCC 0.272
Average MCC ± 95% Confidence Intervals 0.326 ± 0.081
Sensitivity 0.284
Positive Predictive Value 0.269
Nr of predictions 26

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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
2LKR_A - 0.29 0.33 0.25 13 6054 38 8 30 0 26
2M58_A - 0.43 0.47 0.40 8 1633 12 4 8 0 9
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
3J3D_C 0.70 0.71 0.69 20 2746 9 2 7 0 8
3J3E_8 0.00 0.00 0.00 0 7466 47 6 31 10 33
3J3E_7 0.35 0.33 0.37 18 7091 31 1 30 0 36
3J3F_8 0.27 0.33 0.22 12 12192 54 9 33 12 24
3J3F_7 0.17 0.18 0.17 9 7208 43 3 40 0 41
3J3V_B 0.24 0.23 0.27 13 6973 35 1 34 0 44
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
3W3S_B 0.17 0.18 0.18 7 4713 34 1 32 1 33
3ZEX_D 0.26 0.27 0.27 13 6972 36 1 35 0 36
3ZEX_G - 0.05 0.05 0.05 4 16393 76 5 69 2 70
3ZEX_E - 0.03 0.04 0.03 3 21859 85 9 74 2 74
3ZND_W 0.18 0.22 0.17 5 2973 29 6 19 4 18
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
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
4JF2_A 0.51 0.55 0.49 17 2815 18 5 13 0 14
4JRC_A - 0.48 0.48 0.50 11 1518 11 0 11 0 12

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